{"title":"Firefly Jetson Orin","description":"\u003ch2\u003eFirefly Jetson Orin Series\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson Orin Nano\/Orin NX embedded PCs and robotics motherboards: EC-OrinNano, AIO-OrinNX, AIBOX-Orin series.\u003c\/p\u003e","products":[{"product_id":"csb1-n4agxorin-jetson-agx-orin-ai-server","title":"CSB1-N4AGXOrin Jetson AGX Orin 1U AI Server","description":"\u003cp class=\"geo-summary\" style=\"font-size:1rem;line-height:1.65;margin:0 0 1.25rem;padding:0 0 1rem;border-bottom:1px solid #e5e7eb;color:#1f2937\"\u003e\u003cstrong\u003eCSB1-N4AGXOrin Jetson AGX Orin 1U AI Server\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Ai performance: Support the privatization deployment of… · Ram: 64GB LPDDR5 × 4 · Storage: 64GB eMMC × 4 · Ethernet: 4 × 10G Ethernet (SFP+), 1 × Gigabit Ethernet (RJ45,… · Display: 1 × HDMI (maximum resolution 1080P, BMC management display). Typical applications: edge AI inference, machine vision and industrial automation. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK \/ OS images, OEM \/ ODM customization, and worldwide shipping.\u003c\/p\u003e\n\u003c!-- Firefly product tabs --\u003e\n\u003cdiv class=\"fx-tabs\" data-fx-tabs\u003e\n  \u003cdiv class=\"fx-tablist\" role=\"tablist\"\u003e\n    \u003cbutton class=\"fx-tab is-active\" role=\"tab\" data-fx-tab=\"0\"\u003eDescription\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"1\"\u003eWhat's Included\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"2\"\u003eSpecifications\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"3\"\u003eDocuments\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"4\"\u003eShipping Information\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"5\"\u003eWhy Buy From Ai-Paipai?\u003c\/button\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel is-active\" data-fx-panel=\"0\"\u003e\n\u003cdiv style=\"border:2px solid #2b6cb0;background:#f0f7ff;padding:14px 18px;margin:0 0 18px;border-radius:8px;\"\u003e\n\u003ch3 style=\"margin:0 0 6px;color:#2b6cb0;\"\u003e✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)\u003c\/h3\u003e\n\u003cp style=\"margin:0;font-size:14px;\"\u003eThis product is supplied by an \u003cb\u003eauthorized distributor\u003c\/b\u003e of the original brand.\nWe provide \u003cb\u003elocal technical support, pre-installed SDK \/ mirror images, and OEM \/ ODM customization\u003c\/b\u003e, plus fast global shipping.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003eThe CSB1-N4AGXOrin can be configured with up to four NVIDIA Jetson AGX Orin (64 GB) compute modules, providing up to 1100 TOPS (INT8) of computing power. It supports private deployments of mainstream AI models and various deep learning frameworks. The device is equipped with four 10 Gigabit Ethernet ports and supports expansion via SATA 3.0 hard drives.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eProduct Datasheet: \u003ca href=\"https:\/\/download.t-firefly.com\/Spec\/Servers\/CSB1-N4AGXOrin_Specification_EN.pdf\" target=\"_blank\" rel=\"noopener\"\u003eClick\u003c\/a\u003e\u003ca href=\"https:\/\/download.t-firefly.com\/Spec\/Servers\/CSB1-N4AGXOrin_Specification_EN.pdf\" rel=\"noopener\" target=\"_blank\"\u003e \u003c\/a\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10_Specification_EN.pdf?v=1767579950\" target=\"_blank\"\u003eHere\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-size: 23px;\"\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePrivate Deployment of AI Models:\u003c\/strong\u003e It supports private deployment of mainstream large-scale language models (such as Gemma, Llama, Qwen, etc.), large-scale visual models (such as EfficientVIT, SAM, TAM, etc.), image generation models (such as Flux, Stable Diffusion, etc.), and other large-scale models.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple Deep Learning Frameworks:\u003c\/strong\u003e Supports local large-scale models in Ollama and the ComfyUI graph deployment framework; compatible with various deep learning frameworks accelerated by cuDNN, including PaddlePaddle, PyTorch, TensorFlow, MATLAB, MXNet, and Keras; supports custom operator development and Docker containerization management technology.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVideo Encoding:\u003c\/strong\u003e Supports decoding up to 1 channel 8K@30fps, 3 channels 4K@60fps and 11 channels 1080P@60fps video, as well as encoding 2 channels 4K@60fps and 8 channels 1080P@60fps video.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4-port 10 Gigabit SFP+ Network Interface:\u003c\/strong\u003e It features four 10Gbps SFP+ Ethernet ports. Additionally, it includes a dedicated BMC management network interface for separating management and data traffic.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIncludes aBMC Management System:\u003c\/strong\u003e Equipped with an advanced aBMC intelligent management system. Supports secondary development based on customized needs.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-size: 23px;\"\u003e\u003cstrong\u003eProduct Overview\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/ScreenShot_2025-12-17_170353_269.webp?v=1765962494\" alt=\"\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003chr\u003e\n\u003ch2\u003e\n  \u003c\/h2\u003e\n\u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"1\"\u003e\n    \u003ch3\u003eShipping list\u003c\/h3\u003e\n    \u003cul\u003e\n      \u003cli\u003eMain unit × 1\u003c\/li\u003e\n      \u003cli\u003ePower adapter \/ cable (region plug on request) × 1\u003c\/li\u003e\n      \u003cli\u003eAccessories vary by configuration — contact us for the exact included list.\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"2\"\u003e\n    \u003cdiv class=\"fx-specs\"\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAi performance\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eSupport the privatization deployment of ultra-large-scale parametric models under the Transformer architecture, such as Deepseek-R1 series, Gemma series, Llama series, ChatGLM series, Qwen series, Phi series and other large language models.\nSupport the privatization deployment of large visual models such as EfficientVIT, NanoOWL, NanoSAM, SAM and TAM.\nSupports the private deployment of Flux, Stable Diffusion, and Stable Diffusion XL image generation models.\nSupport Ollama local large model deployment framework and ComfyUI graphical deployment framework.\nSupport for a variety of deep learning frameworks supported by cuDNN acceleration, including PaddlePaddle, PyTorch, TensorFlow, MATLAB, MXNet, Keras.\nSupport custom operator development and Docker containerization management technology.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eServer form\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1U rack-mounted computing power server\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eNumber of nodes\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e4 distributed computing nodes + 1 control node\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eCompute nodes\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e12-core 64-bit processor NVIDIA Jetson AGX Orin (64GB), main frequency up to 2.2GHz\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eControl nodes\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eOcta-core 64-bit processor RK3588, main frequency up to 2.4GHz, the highest computing power is 6TOPS\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAi computing power\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1100TOPS (275T × 4, INT8)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eFan module\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e6 high-speed cooling fans\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eConsole\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 × Console (RJ45, BMC debug serial port, baud rate 115200)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eRam\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e64GB LPDDR5 × 4\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eStorage\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e64GB eMMC × 4\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eStorage expansion\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e3.5-inch\/2.5-inch SATA3.0 SSD hard drive slot × 1 (Supports hot swapping; BMC can directly operate the hard drive, and computing child nodes can indirectly access the hard drive through the network sharing method provided by BMC)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e550W AC power supply (Input: 90V AC~264V AC, 47 Hz~63 Hz, 8A; Hot swappable not supported)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003ePower consumption\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eNormal: 135W, Max: 400W\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eDisplay\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 × HDMI (maximum resolution 1080P, BMC management display)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eWeight\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e494.0mm(L) × 469.3mm(W) × 44.4mm(H)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eEnvironment\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eOperating Temperature: 0ºC ~ 40ºC, Storage Temperature: -40ºC ~ 60ºC, Operating Humidity: 5% ~ 80%RH (non-condensing)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eEthernet\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e4 × 10G Ethernet (SFP+), 1 × Gigabit Ethernet (RJ45, MGMT is used as BMC management network)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eUsb\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e2 × USB3.0 (The lower USB is USB3.0 OTG, and the BMC can be upgraded OTG by using a USB flash drive)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eButton\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 × Reset, 1 × UID, 1 × Power\u003c\/div\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"3\"\u003e\n        \u003cdiv class=\"fx-docs\"\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct tutorials\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct datasheet\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eSDK software and firmware files\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eDocument links will be replaced with the official Firefly resource URLs on request.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"4\"\u003e\n        \u003cp\u003e\u003cb\u003eOur cooperating carriers:\u003c\/b\u003e FedEx, DHL, UPS, SF Express\u003c\/p\u003e\n    \u003ch3\u003eDelivery Area And Cost\u003c\/h3\u003e\n    \u003cdiv class=\"fx-scroll\"\u003e\n      \u003ctable class=\"fx-table\"\u003e\n        \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eCountry\/Region\u003c\/th\u003e\n\u003cth\u003e0–2kg\u003c\/th\u003e\n\u003cth\u003e2–3kg\u003c\/th\u003e\n\u003cth\u003e3–4kg\u003c\/th\u003e\n\u003cth\u003e4–5kg\u003c\/th\u003e\n\u003cth\u003e5–6kg\u003c\/th\u003e\n\u003cth\u003e6–7kg\u003c\/th\u003e\n\u003cth\u003e7–8kg\u003c\/th\u003e\n\u003cth\u003e8–9kg\u003c\/th\u003e\n\u003cth\u003e9–10kg\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n        \u003ctbody\u003e\n          \u003ctr\u003e\n\u003ctd\u003eJapan, Taiwan, Hong Kong, Macau\u003c\/td\u003e\n\u003ctd\u003e$15\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSingapore, Thailand, Malaysia\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eIndonesia, Philippines\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003ctd\u003e$70\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSouth Korea\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eUnited States, Australia, New Zealand, Canada, UK, and most of Western Europe\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$75\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$105\u003c\/td\u003e\n\u003ctd\u003e$115\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eOther regions (Eastern Europe, Middle East, Latin America, etc.)\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$110\u003c\/td\u003e\n\u003ctd\u003e$125\u003c\/td\u003e\n\u003ctd\u003e$135\u003c\/td\u003e\n\u003ctd\u003e$150\u003c\/td\u003e\n\u003ctd\u003e$165\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003c\/tbody\u003e\n      \u003c\/table\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eShipping time is for reference only; the actual situation shall prevail.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"5\"\u003e\n    Why Buy From Ai-Paipai?\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eAuthorized \u0026amp; Genuine\u003c\/b\u003e — sourced directly from brand-approved channels.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLocal Engineering Support\u003c\/b\u003e — datasheets, SDKs, and pre-flashed images in English and Chinese.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOEM \/ ODM \u0026amp; FPGA Customization\u003c\/b\u003e — tailor specs, enclosures, and BSP for your project.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOne-Stop Sourcing\u003c\/b\u003e — Firefly + youyeetoo + our own FPGA \/ edge lineup in one store.\u003c\/li\u003e\n\u003c\/ul\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cstyle\u003e\n  .fx-tabs{margin:24px 0;border:1px solid #e5e7eb;border-radius:10px;overflow:hidden;background:#fff}\n  .fx-tablist{display:flex;flex-wrap:wrap;gap:0;border-bottom:1px solid #e5e7eb;background:#f8fafc}\n  .fx-tab{flex:1 1 auto;min-width:120px;padding:14px 16px;border:0;background:transparent;cursor:pointer;font:600 14px\/1.3 inherit;color:#475569;border-bottom:3px solid transparent;transition:.18s}\n  .fx-tab:hover{color:#0f172a;background:#eef2f7}\n  .fx-tab.is-active{color:#0f172a;border-bottom-color:#2563eb;background:#fff}\n  .fx-panel{display:none;padding:22px 24px}\n  .fx-panel.is-active{display:block}\n  .fx-panel h3{font-size:16px;margin:22px 0 8px;font-weight:700}\n  .fx-panel h3:first-child{margin-top:0}\n  .fx-panel p{margin:10px 0;line-height:1.65}\n  .fx-panel ul{margin:10px 0;padding-left:22px}\n  .fx-panel li{margin:6px 0;line-height:1.6}\n  .fx-auth{background:#f0fdf4;border:1px solid #bbf7d0;border-radius:8px;padding:12px 14px;margin:0 0 16px;font-size:14px;line-height:1.6}\n  .fx-specs{border-top:1px solid #eef2f7}\n  .fx-spec{display:grid;grid-template-columns:230px 1fr;gap:16px;padding:12px 4px;border-bottom:1px solid #eef2f7}\n  .fx-k{font-weight:700;color:#334155}\n  .fx-v{color:#475569}\n  .fx-docs{display:flex;flex-direction:column;gap:10px}\n  .fx-doc{display:flex;justify-content:space-between;align-items:center;gap:12px;padding:12px 14px;border:1px solid #e5e7eb;border-radius:8px}\n  .fx-doc a{color:#2563eb;font-weight:700;text-decoration:none}\n  .fx-doc a:hover{text-decoration:underline}\n  .fx-scroll{overflow-x:auto}\n  .fx-table{border-collapse:collapse;width:100%;min-width:760px;font-size:13px}\n  .fx-table th,.fx-table td{border:1px solid #e5e7eb;padding:8px 10px;text-align:left}\n  .fx-table th{background:#f8fafc;font-weight:700}\n  .fx-note{color:#64748b;font-size:13px;margin-top:12px}\n  @media (max-width:749px){.fx-spec{grid-template-columns:1fr;gap:4px}.fx-tab{min-width:50%;flex:1 1 50%}.fx-panel{padding:16px}}\n\u003c\/style\u003e\n\n\u003cscript\u003e\n  (function () {\n    var roots = document.querySelectorAll('[data-fx-tabs]');\n    roots.forEach(function (root) {\n      var tabs = root.querySelectorAll('[data-fx-tab]');\n      var panels = root.querySelectorAll('[data-fx-panel]');\n      tabs.forEach(function (t) {\n        t.addEventListener('click', function () {\n          var i = t.getAttribute('data-fx-tab');\n          tabs.forEach(function (x) { x.classList.toggle('is-active', x === t); });\n          panels.forEach(function (p) { p.classList.toggle('is-active', p.getAttribute('data-fx-panel') === i); });\n        });\n      });\n    });\n  })();\n\u003c\/script\u003e","brand":"Firefly","offers":[{"title":"AGX Orin*4","offer_id":48422468813058,"sku":"firefly-csb1-n4agxorin-jetson-agx-orin-ai-server-42768991027284","price":14119.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0837\/5953\/0242\/files\/2723-1024.webp?v=1788244308"},{"product_id":"ec-agxorin-jetson-agx-orin-egde-computer","title":"EC-AGXOrin Jetson AGX Orin Egde Computer","description":"\u003cp class=\"geo-summary\" style=\"font-size:1rem;line-height:1.65;margin:0 0 1.25rem;padding:0 0 1rem;border-bottom:1px solid #e5e7eb;color:#1f2937\"\u003e\u003cstrong\u003eEC-AGXOrin Jetson AGX Orin Egde Computer\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Soc: NVIDIA Jetson AGX Orin (64GB, original module) · Ai computing power: 275 TOPS · Ram: 64GB LPDDR5 · Storage: 64GB eMMC · Video output: 1 × HDMI2.0 (4K@60Hz). Typical applications: edge AI inference, machine vision and IoT gateway deployments. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK \/ OS images, OEM \/ ODM customization, and worldwide shipping.\u003c\/p\u003e \u003c!-- Firefly product tabs --\u003e \u003cdiv class=\"fx-tabs\" data-fx-tabs\u003e \u003cdiv class=\"fx-tablist\" role=\"tablist\"\u003e \u003cbutton class=\"fx-tab is-active\" role=\"tab\" data-fx-tab=\"0\"\u003eDescription\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"1\"\u003eWhat's Included\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"2\"\u003eSpecifications\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"3\"\u003eDocuments\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"4\"\u003eShipping Information\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"5\"\u003eWhy Buy From Ai-Paipai?\u003c\/button\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel is-active\" data-fx-panel=\"0\"\u003e \u003cdiv style=\"border:2px solid #2b6cb0;background:#f0f7ff;padding:14px 18px;margin:0 0 18px;border-radius:8px;\"\u003e \u003ch3 style=\"margin:0 0 6px;color:#2b6cb0;\"\u003e✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)\u003c\/h3\u003e \u003cp style=\"margin:0;font-size:14px;\"\u003eThis product is supplied by an \u003cb\u003eauthorized distributor\u003c\/b\u003e of the original brand.\nWe provide \u003cb\u003elocal technical support, pre-installed SDK \/ mirror images, and OEM \/ ODM customization\u003c\/b\u003e, plus fast global shipping.\u003c\/p\u003e \u003c\/div\u003e \u003cp\u003eThe EC-AGXOrin features an NVIDIA Jetson AGX Orin (64GB) module, delivering up to 275 TOPS of computing power and supporting various large-scale AI models and deep learning frameworks. It supports 22-channel 1080p video decoding and 16-channel 1080p video encoding. Its industrial-grade all-aluminum casing and dual cooling fan design ensure stable 24\/7 operation.\u003c\/p\u003e \u003cul\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eProduct Datasheet: \u003ca href=\"https:\/\/download.t-firefly.com\/Spec\/Computers\/EC-AGXOrin_Specification_EN.pdf\" target=\"_blank\" rel=\"noopener\"\u003eClick H\u003c\/a\u003e\u003ca href=\"https:\/\/download.t-firefly.com\/Spec\/Computers\/EC-AGXOrin_Specification_EN.pdf\" rel=\"noopener\" target=\"_blank\"\u003ee\u003c\/a\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/EC-AGXOrin_Specification_EN.pdf?v=1764646268\"\u003ere\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eProduct Wiki: \u003ca href=\"https:\/\/wiki.t-firefly.com\/en\/EC-AGXOrin\/preface.html\"\u003eClick Here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 23px;\"\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e \u003cstrong\u003eEquipped with NVIDIA Jetson Module: \u003c\/strong\u003eIt features an NVIDIA Jetson AGX Orin (64GB) module, equipped with a 12-core CPU and a 2048-core GPU (including 64 Tensor Cores) based on the NVIDIA Ampere architecture. It delivers powerful inference performance, providing robust computing capabilities for edge AI computing, intelligent robots, and other scenarios.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003ePrivate Deployment of AI Models: \u003c\/strong\u003eIt supports private deployment of mainstream large-scale AI models, including the ROS robot model; large language models based on the Transformer architecture; large vision models such as EfficientVIT, NanoOWL, NanoSAM, SAM, and TAM; and image generation models such as the Flux and Stable Diffusion series.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eMultiple Deep Learning Frameworks: \u003c\/strong\u003eIt supports the Ollama framework for local deployment of large models, the ComfyUI workflow framework for AI image generation, and deep learning frameworks accelerated by cuDNN, including PaddlePaddle, PyTorch, TensorFlow, MATLAB, MxNet, and Keras. Furthermore, it supports custom operator development and Docker containerization management technology.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eAI Software Stack and Ecosystem:\u003c\/strong\u003e A complete AI software stack and ecosystem powered by edge generative AI and NVIDIA Metropolis and Isaac™.\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eUp to 22 Channels of 1080P Video Decoding: \u003c\/strong\u003eSupports up to 22 channels of 1080P@30fps or 1 channel of 8K@30fps video decoding, and 16 channels of 1080P@30fps or 2 channels of 4K@60fps video encoding.\u003cbr\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 23px;\"\u003e\u003cstrong\u003eProduct Overview\u003c\/strong\u003e\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/ScreenShot_2025-12-02_114601_107.webp?v=1764647227\"\u003e\u003c\/strong\u003e\u003c\/p\u003e \u003chr\u003e \u003ch2\u003e \u003c\/h2\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"1\"\u003e \u003ch3\u003eShipping list\u003c\/h3\u003e \u003cul\u003e \u003cli\u003eMain unit × 1\u003c\/li\u003e \u003cli\u003ePower adapter \/ cable (region plug on request) × 1\u003c\/li\u003e \u003cli\u003eAccessories vary by configuration — contact us for the exact included list.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"2\"\u003e \u003cdiv class=\"fx-specs\"\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAi software stack\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eThe NVIDIA Jetson Orin series delivers powerful AI compute power, massive unified memory, and a comprehensive software stack to power the latest generative AI applications. It enables fast inference on any generative AI model powered by the Transformer architecture, enabling superior edge performance on MLPerf.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAi computing power\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e275 TOPS\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eDeep learning\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eSupports the Ollama framework for local deployment of large models, applicable to natural language processing, code generation, and auxiliary scenarios.\nSupports the ComfyUI graphical deployment framework, applicable to image restoration, image style transfer, and image synthesis.\nSupports various deep learning frameworks accelerated by cuDNN, including PaddlePaddle, PyTorch, TensorFlow, MATLAB, MXNet, and Keras.\nSupports custom operator development.\nSupports Docker containerization technology for easy image deployment.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eSoc\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eNVIDIA Jetson AGX Orin (64GB, original module)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eCpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e12-core 64-bit ARM Cortex-A78AE v8.2 processor with a frequency of up to 2.2GHz\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eGpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e64 Tensor Cores 2048-core NVIDIA Ampere architecture GPU\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eRam\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e64GB LPDDR5\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eStorage\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e64GB eMMC\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eDC 24V (5.5 × 2.1mm, support 9V~36V wide voltage input)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eVideo output\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × HDMI2.0 (4K@60Hz)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eVideo input\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e8 × GMSL2 (Input via two 4Pin Mini FAKRA interfaces)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOs\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eThe Jetson system based on Ubuntu 22.04 provides a complete desktop Linux environment with graphics acceleration capabilities and supports libraries such as NVIDIA CUDA, TensorRT, and CuDNN.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eDimension\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e277.95mm × 136.09mm × 88.0mm\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eEnvironment\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eOperating Temperature: -20℃~60℃, Storage Temperature: -20℃~70℃, Storage Humidity: 10%~90%RH (non-condensing)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eUsb\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e4 × USB3.0 (Max: 1A), 1 × Type-C (USB3.2 OTG), 1 × Type-C (Debug)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eButton\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × Reset, 1 × Recovery, 1 × Power\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOther\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × SIM Card\n1 × Phoenix connector (2×12Pin, 3.5mm pitch): 1 × RS485, 1 × RS232, 2 × CAN 2.0, 1 × UART, 1 × IO input, 1 × IO output\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"3\"\u003e \u003cdiv class=\"fx-docs\"\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eProduct tutorials\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eProduct datasheet\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eSDK software and firmware files\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cp class=\"fx-note\"\u003eDocument links will be replaced with the official Firefly resource URLs on request.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"4\"\u003e \u003cp\u003e\u003cb\u003eOur cooperating carriers:\u003c\/b\u003e FedEx, DHL, UPS, SF Express\u003c\/p\u003e \u003ch3\u003eDelivery Area And Cost\u003c\/h3\u003e \u003cdiv class=\"fx-scroll\"\u003e \u003ctable class=\"fx-table\"\u003e \u003cthead\u003e\u003ctr\u003e \u003cth\u003eCountry\/Region\u003c\/th\u003e \u003cth\u003e0–2kg\u003c\/th\u003e \u003cth\u003e2–3kg\u003c\/th\u003e \u003cth\u003e3–4kg\u003c\/th\u003e \u003cth\u003e4–5kg\u003c\/th\u003e \u003cth\u003e5–6kg\u003c\/th\u003e \u003cth\u003e6–7kg\u003c\/th\u003e \u003cth\u003e7–8kg\u003c\/th\u003e \u003cth\u003e8–9kg\u003c\/th\u003e \u003cth\u003e9–10kg\u003c\/th\u003e \u003c\/tr\u003e\u003c\/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd\u003eJapan, Taiwan, Hong Kong, Macau\u003c\/td\u003e \u003ctd\u003e$15\u003c\/td\u003e \u003ctd\u003e$20\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSingapore, Thailand, Malaysia\u003c\/td\u003e \u003ctd\u003e$20\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$60\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eIndonesia, Philippines\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$60\u003c\/td\u003e \u003ctd\u003e$70\u003c\/td\u003e \u003ctd\u003e$80\u003c\/td\u003e \u003ctd\u003e$85\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSouth Korea\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eUnited States, Australia, New Zealand, Canada, UK, and most of Western Europe\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$75\u003c\/td\u003e \u003ctd\u003e$85\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003ctd\u003e$105\u003c\/td\u003e \u003ctd\u003e$115\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOther regions (Eastern Europe, Middle East, Latin America, etc.)\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$80\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003ctd\u003e$110\u003c\/td\u003e \u003ctd\u003e$125\u003c\/td\u003e \u003ctd\u003e$135\u003c\/td\u003e \u003ctd\u003e$150\u003c\/td\u003e \u003ctd\u003e$165\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e \u003c\/table\u003e \u003c\/div\u003e \u003cp class=\"fx-note\"\u003eShipping time is for reference only; the actual situation shall prevail.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"5\"\u003e\n Why Buy From Ai-Paipai? \u003cul\u003e \u003cli\u003e \u003cb\u003eAuthorized \u0026amp; Genuine\u003c\/b\u003e — sourced directly from brand-approved channels.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eLocal Engineering Support\u003c\/b\u003e — datasheets, SDKs, and pre-flashed images in English and Chinese.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eOEM \/ ODM \u0026amp; FPGA Customization\u003c\/b\u003e — tailor specs, enclosures, and BSP for your project.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eOne-Stop Sourcing\u003c\/b\u003e — Firefly + youyeetoo + our own FPGA \/ edge lineup in one store.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cstyle\u003e.fx-tabs{margin:24px 0;border:1px solid #e5e7eb;border-radius:10px;overflow:hidden;background:#fff}.fx-tablist{display:flex;flex-wrap:wrap;gap:0;border-bottom:1px solid #e5e7eb;background:#f8fafc}.fx-tab{flex:1 1 auto;min-width:120px;padding:14px 16px;border:0;background:transparent;cursor:pointer;font:600 14px\/1.3 inherit;color:#475569;border-bottom:3px solid transparent;transition:.18s}.fx-tab:hover{color:#0f172a;background:#eef2f7}.fx-tab.is-active{color:#0f172a;border-bottom-color:#2563eb;background:#fff}.fx-panel{display:none;padding:22px 24px}.fx-panel.is-active{display:block}.fx-panel h3{font-size:16px;margin:22px 0 8px;font-weight:700}.fx-panel h3:first-child{margin-top:0}.fx-panel p{margin:10px 0;line-height:1.65}.fx-panel ul{margin:10px 0;padding-left:22px}.fx-panel li{margin:6px 0;line-height:1.6}.fx-auth{background:#f0fdf4;border:1px solid #bbf7d0;border-radius:8px;padding:12px 14px;margin:0 0 16px;font-size:14px;line-height:1.6}.fx-specs{border-top:1px solid #eef2f7}.fx-spec{display:grid;grid-template-columns:230px 1fr;gap:16px;padding:12px 4px;border-bottom:1px solid #eef2f7}.fx-k{font-weight:700;color:#334155}.fx-v{color:#475569}.fx-docs{display:flex;flex-direction:column;gap:10px}.fx-doc{display:flex;justify-content:space-between;align-items:center;gap:12px;padding:12px 14px;border:1px solid #e5e7eb;border-radius:8px}.fx-doc a{color:#2563eb;font-weight:700;text-decoration:none}.fx-doc a:hover{text-decoration:underline}.fx-scroll{overflow-x:auto}.fx-table{border-collapse:collapse;width:100%;min-width:760px;font-size:13px}.fx-table th,.fx-table td{border:1px solid #e5e7eb;padding:8px 10px;text-align:left}.fx-table th{background:#f8fafc;font-weight:700}.fx-note{color:#64748b;font-size:13px;margin-top:12px}\n @media (max-width:749px){.fx-spec{grid-template-columns:1fr;gap:4px}.fx-tab{min-width:50%;flex:1 1 50%}.fx-panel{padding:16px}} \u003c\/style\u003e \u003cscript\u003e\n (function () {\n var roots = document.querySelectorAll('[data-fx-tabs]');\n roots.forEach(function (root) {\n var tabs = root.querySelectorAll('[data-fx-tab]');\n var panels = root.querySelectorAll('[data-fx-panel]');\n tabs.forEach(function (t) {\n t.addEventListener('click', function () {\n var i = t.getAttribute('data-fx-tab');\n tabs.forEach(function (x) { x.classList.toggle('is-active', x === t); });\n panels.forEach(function (p) { p.classList.toggle('is-active', p.getAttribute('data-fx-panel') === i); });\n });\n });\n });\n })(); \u003c\/script\u003e","brand":"Firefly","offers":[{"title":"64G RAM+64G ROM","offer_id":48422469239042,"sku":"firefly-ec-agxorin-jetson-agx-orin-egde-computer-42730714660948","price":5379.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0837\/5953\/0242\/files\/2102-1250-max.webp?v=1788244311"},{"product_id":"ec-orinnx-157tops-computing-power-ai-edge-computing-host-jetson-module-nvidia-nvidia","title":"EC-OrinNX Jetson Orin NX Edge AI Fanless PC","description":"\u003cp class=\"geo-summary\" style=\"font-size:1rem;line-height:1.65;margin:0 0 1.25rem;padding:0 0 1rem;border-bottom:1px solid #e5e7eb;color:#1f2937\"\u003e\u003cstrong\u003eEC-OrinNX Jetson Orin NX Edge AI Fanless PC\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Cpu: Octa-core Arm® Cortex®-A78AE v8.2 64-bit CPU, up to 2.0GHz · Ai performance: 157 TOPS · Storage: 1 x M.2 (internal device, PCIe NVMe SSD expansion… · Network: Ethernet: 1 x Gigabit Ethernet (RJ45) WiFi: WiFi 6 \/ BT… · Software support: Robotic models: ROS models Large language models: The…. Typical applications: edge AI inference, machine vision and IoT gateway deployments. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK \/ OS images, OEM \/ ODM customization, and worldwide shipping.\u003c\/p\u003e \u003c!-- Firefly product tabs --\u003e \u003cdiv class=\"fx-tabs\" data-fx-tabs\u003e \u003cdiv class=\"fx-tablist\" role=\"tablist\"\u003e \u003cbutton class=\"fx-tab is-active\" role=\"tab\" data-fx-tab=\"0\"\u003eDescription\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"1\"\u003eWhat's Included\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"2\"\u003eSpecifications\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"3\"\u003eDocuments\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"4\"\u003eShipping Information\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"5\"\u003eWhy Buy From Ai-Paipai?\u003c\/button\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel is-active\" data-fx-panel=\"0\"\u003e \u003cdiv style=\"border:2px solid #2b6cb0;background:#f0f7ff;padding:14px 18px;margin:0 0 18px;border-radius:8px;\"\u003e \u003ch3 style=\"margin:0 0 6px;color:#2b6cb0;\"\u003e✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)\u003c\/h3\u003e \u003cp style=\"margin:0;font-size:14px;\"\u003eThis product is supplied by an \u003cb\u003eauthorized distributor\u003c\/b\u003e of the original brand.\nWe provide \u003cb\u003elocal technical support, pre-installed SDK \/ mirror images, and OEM \/ ODM customization\u003c\/b\u003e, plus fast global shipping.\u003c\/p\u003e \u003c\/div\u003e \u003cp style=\"text-align: left;\"\u003eEC-OrinNX is equipped with the NVIDIA Jetson Orin NX core module (16GB RAM version), providing up to 157 TOPS of computing power. It can run all current AI models and support larger and more complex deep neural networks. It has visual development functions such as object recognition, target detection and tracking, and speech recognition to meet the needs of a wider range of artificial intelligence application scenarios.\u003c\/p\u003e \u003cul\u003e \u003cli\u003e\u003cstrong\u003eProduct Datasheet: \u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/EC-OrinNano_EC-OrinNX_Specification_EN.pdf?v=1749540358\"\u003eClick Here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e \u003cli\u003e\u003cstrong\u003eProduct Wiki: \u003ca href=\"https:\/\/wiki.t-firefly.com\/en\/EC-Orin-NX\/preface.html\"\u003eClick Here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 18px;\"\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e \u003cstrong\u003eHigh-performance Edge Computing Module:\u003c\/strong\u003e The NVIDIA Jetson Orin NX edge computing module (16GB version) uses an eight-core ARM CPU and a 1024-core NVIDIA Ampere architecture.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eUp to 157 TOPS of Computing Power: \u003c\/strong\u003eEC-OrinNX provides up to 157 TOPS of computing power and can run all current AI models, including Transformer and ROS models. It supports building larger and more complex deep neural networks using frameworks such as TensorFlow, OpenCV, JetPack, MXNet, and PyTorch. The computer has object recognition, target detection and tracking, speech recognition, and other visual development capabilities, and is suitable for a wide range of AI application scenarios.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eThe Private Deployment of Large Models: \u003c\/strong\u003eLarge language models, Vision models, AI painting, Traditional network architectures, Deep learning frameworks, Docker containerization.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eGenerative AI at The Edge: \u003c\/strong\u003eNVIDIA Jetson Orin provides unparalleled AI computing power, large unified memory, and a comprehensive software stack with excellent energy efficiency to drive the latest generative AI applications. It can quickly infer any Transformer-based generative AI model and provide excellent edge performance on MLPerf.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eAI Software Stack and Ecosystem: \u003c\/strong\u003eEmpower edge AI and robotics development with the world’s most comprehensive AI software stack and ecosystem. Powered by edge-generated AI and the Nvidia Metropolis and Isaac platforms, NVIDIA JetPack, Isaac ROS, and reference AI workflows, the software stack and ecosystem seamlessly integrate edge-generated AI technologies into your products without the need for expensive in-house AI resources. Experience end-to-end acceleration of AI applications and accelerate time to market using the same powerful technology that drives data center and cloud deployments.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eSupport 18-channel 1080p30 H.265 Video Decoding: \u003c\/strong\u003eEC-OrinNX supports video decoding of up to 1×8K30 (H.265), 2×4K60 (H.265), 4×4K30 (H.265), 9×1080p60 (H.265), and 18×1080p30 (H.265), meeting the diverse needs of AI application scenarios.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eAluminum Alloy Housing: \u003c\/strong\u003eThe device adopts industrial-grade aluminum alloy housing and has efficient fanless passive heat dissipation function, ensuring stable operation around the clock and meeting various industrial application requirements. Its space-saving design supports wall-mounting and can be flexibly installed on walls or industrial automation equipment.\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 18px;\"\u003e\u003cstrong\u003eApplications\u003c\/strong\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003eRobotics\u003c\/li\u003e \u003cli\u003eEdge Computing\u003c\/li\u003e \u003cli\u003eLarge Models\u003c\/li\u003e \u003cli\u003eSmart Industry\u003c\/li\u003e \u003cli\u003eSmart Healthcare\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/ec-orin_inter.webp?v=1750058577\"\u003e\u003c\/strong\u003e\u003c\/p\u003e \u003chr\u003e \u003ch2\u003e \u003c\/h2\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"1\"\u003e \u003ch3\u003eShipping list\u003c\/h3\u003e \u003cul\u003e \u003cli\u003eMain unit × 1\u003c\/li\u003e \u003cli\u003ePower adapter \/ cable (region plug on request) × 1\u003c\/li\u003e \u003cli\u003eAccessories vary by configuration — contact us for the exact included list.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"2\"\u003e \u003cdiv class=\"fx-specs\"\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eShipping list\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eEC-OrinNX*1\n12V3A Power Adapter*1\nType-C 3.0 USB Cable*1\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAi performance\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e157 TOPS\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eCpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eOcta-core Arm® Cortex®-A78AE v8.2 64-bit CPU, up to 2.0GHz\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eGpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eStorage\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 x M.2 (internal device, PCIe NVMe SSD expansion available, supporting 2242\/2260\/2280)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eDC 12V (5.5mm x 2.1mm, 9-24V wide input voltage)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAudio\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 x 3.5mm audio jack, supporting MIC recording, CTIA standard\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOs\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eBased on Ubuntu 22.04, the Jetson system offers a comprehensive desktop Linux environment with accelerated graphics, supporting libraries such as NVIDIA CUDA 11.4.19, TensorRT 8.5.2, and CuDNN 8.6.0.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eSoftware support\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eRobotic models: ROS models\nLarge language models: The private deployment of ultra-large-scale parameter models under the Transformer architecture, such as LLaMa2, ChatGLM, and Qwen.\nVision models: ViT, Grounding DINO, and SAM.\nAI painting: Stable Diffusion V1.5 image generation model in the AIGC field.\nTraditional network architectures: Traditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks include TensorFlow, PyTorch, MXNet, ONNX, PaddlePaddle, and Darknet; custom operator development\nDocker containerization: Docker container management technology, facilitates easy image deployment.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eDimension\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e188mm x 88.44mm x 50.65mm\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eEnvironment\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eOperating temperature: -20℃~60℃ \nOperating humidity: 10%~90%RH (non-condensing)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eNetwork\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eEthernet: 1 x Gigabit Ethernet (RJ45) WiFi: WiFi 6 \/ BT 5.2 modules expansion available via the M.2 interface\n4G: 4G LTE expansion available via the Mini PCIe\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eUsb\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e2 x USB3.0\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOther\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 x Type-C (USB 2.0\/DEBUG), 1 x SIM card, 1 x Phoenix connector (2 x 4Pin, 3.5mm pitch): 1 x RS485, 1 x RS232, 1 x CAN 2.0\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eProduct tutorials\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eProduct datasheet\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eSdk software and firmware files\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"3\"\u003e \u003cdiv class=\"fx-docs\"\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eProduct tutorials\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eProduct datasheet\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eSDK software and firmware files\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cp class=\"fx-note\"\u003eDocument links will be replaced with the official Firefly resource URLs on request.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"4\"\u003e \u003cp\u003e\u003cb\u003eOur cooperating carriers:\u003c\/b\u003e FedEx, DHL, UPS, SF Express\u003c\/p\u003e \u003ch3\u003eDelivery Area And Cost\u003c\/h3\u003e \u003cdiv class=\"fx-scroll\"\u003e \u003ctable class=\"fx-table\"\u003e \u003cthead\u003e\u003ctr\u003e \u003cth\u003eCountry\/Region\u003c\/th\u003e \u003cth\u003e0–2kg\u003c\/th\u003e \u003cth\u003e2–3kg\u003c\/th\u003e \u003cth\u003e3–4kg\u003c\/th\u003e \u003cth\u003e4–5kg\u003c\/th\u003e \u003cth\u003e5–6kg\u003c\/th\u003e \u003cth\u003e6–7kg\u003c\/th\u003e \u003cth\u003e7–8kg\u003c\/th\u003e \u003cth\u003e8–9kg\u003c\/th\u003e \u003cth\u003e9–10kg\u003c\/th\u003e \u003c\/tr\u003e\u003c\/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd\u003eJapan, Taiwan, Hong Kong, Macau\u003c\/td\u003e \u003ctd\u003e$15\u003c\/td\u003e \u003ctd\u003e$20\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSingapore, Thailand, Malaysia\u003c\/td\u003e \u003ctd\u003e$20\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$60\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eIndonesia, Philippines\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$60\u003c\/td\u003e \u003ctd\u003e$70\u003c\/td\u003e \u003ctd\u003e$80\u003c\/td\u003e \u003ctd\u003e$85\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSouth Korea\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eUnited States, Australia, New Zealand, Canada, UK, and most of Western Europe\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$75\u003c\/td\u003e \u003ctd\u003e$85\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003ctd\u003e$105\u003c\/td\u003e \u003ctd\u003e$115\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOther regions (Eastern Europe, Middle East, Latin America, etc.)\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$80\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003ctd\u003e$110\u003c\/td\u003e \u003ctd\u003e$125\u003c\/td\u003e \u003ctd\u003e$135\u003c\/td\u003e \u003ctd\u003e$150\u003c\/td\u003e \u003ctd\u003e$165\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e \u003c\/table\u003e \u003c\/div\u003e \u003cp class=\"fx-note\"\u003eShipping time is for reference only; the actual situation shall prevail.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"5\"\u003e\n Why Buy From Ai-Paipai? \u003cul\u003e \u003cli\u003e \u003cb\u003eAuthorized \u0026amp; Genuine\u003c\/b\u003e — sourced directly from brand-approved channels.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eLocal Engineering Support\u003c\/b\u003e — datasheets, SDKs, and pre-flashed images in English and Chinese.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eOEM \/ ODM \u0026amp; FPGA Customization\u003c\/b\u003e — tailor specs, enclosures, and BSP for your project.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eOne-Stop Sourcing\u003c\/b\u003e — Firefly + youyeetoo + our own FPGA \/ edge lineup in one store.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cstyle\u003e.fx-tabs{margin:24px 0;border:1px solid #e5e7eb;border-radius:10px;overflow:hidden;background:#fff}.fx-tablist{display:flex;flex-wrap:wrap;gap:0;border-bottom:1px solid #e5e7eb;background:#f8fafc}.fx-tab{flex:1 1 auto;min-width:120px;padding:14px 16px;border:0;background:transparent;cursor:pointer;font:600 14px\/1.3 inherit;color:#475569;border-bottom:3px solid transparent;transition:.18s}.fx-tab:hover{color:#0f172a;background:#eef2f7}.fx-tab.is-active{color:#0f172a;border-bottom-color:#2563eb;background:#fff}.fx-panel{display:none;padding:22px 24px}.fx-panel.is-active{display:block}.fx-panel h3{font-size:16px;margin:22px 0 8px;font-weight:700}.fx-panel h3:first-child{margin-top:0}.fx-panel p{margin:10px 0;line-height:1.65}.fx-panel ul{margin:10px 0;padding-left:22px}.fx-panel li{margin:6px 0;line-height:1.6}.fx-auth{background:#f0fdf4;border:1px solid #bbf7d0;border-radius:8px;padding:12px 14px;margin:0 0 16px;font-size:14px;line-height:1.6}.fx-specs{border-top:1px solid #eef2f7}.fx-spec{display:grid;grid-template-columns:230px 1fr;gap:16px;padding:12px 4px;border-bottom:1px solid #eef2f7}.fx-k{font-weight:700;color:#334155}.fx-v{color:#475569}.fx-docs{display:flex;flex-direction:column;gap:10px}.fx-doc{display:flex;justify-content:space-between;align-items:center;gap:12px;padding:12px 14px;border:1px solid #e5e7eb;border-radius:8px}.fx-doc a{color:#2563eb;font-weight:700;text-decoration:none}.fx-doc a:hover{text-decoration:underline}.fx-scroll{overflow-x:auto}.fx-table{border-collapse:collapse;width:100%;min-width:760px;font-size:13px}.fx-table th,.fx-table td{border:1px solid #e5e7eb;padding:8px 10px;text-align:left}.fx-table th{background:#f8fafc;font-weight:700}.fx-note{color:#64748b;font-size:13px;margin-top:12px}\n @media (max-width:749px){.fx-spec{grid-template-columns:1fr;gap:4px}.fx-tab{min-width:50%;flex:1 1 50%}.fx-panel{padding:16px}} \u003c\/style\u003e \u003cscript\u003e\n (function () {\n var roots = document.querySelectorAll('[data-fx-tabs]');\n roots.forEach(function (root) {\n var tabs = root.querySelectorAll('[data-fx-tab]');\n var panels = root.querySelectorAll('[data-fx-panel]');\n tabs.forEach(function (t) {\n t.addEventListener('click', function () {\n var i = t.getAttribute('data-fx-tab');\n tabs.forEach(function (x) { x.classList.toggle('is-active', x === t); });\n panels.forEach(function (p) { p.classList.toggle('is-active', p.getAttribute('data-fx-panel') === i); });\n });\n });\n });\n })(); \u003c\/script\u003e","brand":"Firefly","offers":[{"title":"16G RAM +128G SSD With wifi","offer_id":48422471598338,"sku":"firefly-ec-orinnx-157tops-computing-power-ai-edge-computing-host-jetson-module-nvidia-nvidia-42073385500756","price":1599.0,"currency_code":"USD","in_stock":true},{"title":"16G RAM +128G SSD Without wifi","offer_id":48422471631106,"sku":"firefly-ec-orinnx-157tops-computing-power-ai-edge-computing-host-jetson-module-nvidia-nvidia-42073384124500","price":1559.0,"currency_code":"USD","in_stock":true},{"title":"16G RAM Without Wifi And SSD","offer_id":48422471663874,"sku":"firefly-ec-orinnx-157tops-computing-power-ai-edge-computing-host-jetson-module-nvidia-nvidia-42186849714260","price":1529.0,"currency_code":"USD","in_stock":true},{"title":"8G RAM +128G SSD With wifi","offer_id":48422471696642,"sku":"firefly-ec-orinnx-157tops-computing-power-ai-edge-computing-host-jetson-module-nvidia-nvidia-42073406341204","price":1119.0,"currency_code":"USD","in_stock":true},{"title":"8G RAM +128G SSD Without wifi","offer_id":48422471729410,"sku":"firefly-ec-orinnx-157tops-computing-power-ai-edge-computing-host-jetson-module-nvidia-nvidia-42073406308436","price":1089.0,"currency_code":"USD","in_stock":true},{"title":"8G RAM Without Wifi And SSD","offer_id":48422471762178,"sku":"firefly-ec-orinnx-157tops-computing-power-ai-edge-computing-host-jetson-module-nvidia-nvidia-42186849747028","price":1049.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0837\/5953\/0242\/files\/EC-OrinNX_-800800-2_e506d917-f7c1-49e2-8582-b812f7ae6e23.jpg?v=1788244332"},{"product_id":"aio-orinnx-nvidia-jetson-orin-nx-motherboard","title":"AIO-OrinNX Jetson Orin NX Robotics Motherboard","description":"\u003cp class=\"geo-summary\" style=\"font-size:1rem;line-height:1.65;margin:0 0 1.25rem;padding:0 0 1rem;border-bottom:1px solid #e5e7eb;color:#1f2937\"\u003e\u003cstrong\u003eAIO-OrinNX Jetson Orin NX Robotics Motherboard\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Soc: NVIDIA Jetson Orin NX · Ai performance: Robot model: ROS robot model is supported. Large… · Ram: 16GB LPDDR5 · Storage: 1 x M.2 M-KEY (Expandable PCle NVMe SSD, supports… · Video output: 1 x HDMI2.0 (4K@60fps). Typical applications: edge AI inference, machine vision and IoT gateway deployments. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK \/ OS images, OEM \/ ODM customization, and worldwide shipping.\u003c\/p\u003e\n\u003c!-- Firefly product tabs --\u003e\n\u003cdiv class=\"fx-tabs\" data-fx-tabs\u003e\n  \u003cdiv class=\"fx-tablist\" role=\"tablist\"\u003e\n    \u003cbutton class=\"fx-tab is-active\" role=\"tab\" data-fx-tab=\"0\"\u003eDescription\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"1\"\u003eWhat's Included\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"2\"\u003eSpecifications\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"3\"\u003eDocuments\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"4\"\u003eShipping Information\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"5\"\u003eWhy Buy From Ai-Paipai?\u003c\/button\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel is-active\" data-fx-panel=\"0\"\u003e\n\u003cdiv style=\"border:2px solid #2b6cb0;background:#f0f7ff;padding:14px 18px;margin:0 0 18px;border-radius:8px;\"\u003e\n\u003ch3 style=\"margin:0 0 6px;color:#2b6cb0;\"\u003e✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)\u003c\/h3\u003e\n\u003cp style=\"margin:0;font-size:14px;\"\u003eThis product is supplied by an \u003cb\u003eauthorized distributor\u003c\/b\u003e of the original brand.\nWe provide \u003cb\u003elocal technical support, pre-installed SDK \/ mirror images, and OEM \/ ODM customization\u003c\/b\u003e, plus fast global shipping.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cul\u003e\u003c\/ul\u003e\n\u003cp\u003eAIO-OrinNX is equipped with NVIDIA Jetson Orin NX core module, providing up to 157 TOPS computing power, supporting private deployment of modern mainstream AI models, and supporting up to 8K video decoding. It has comprehensive connection options, including Gigabit Ethernet, dual-band WiFi, 4G\/5G, Bluetooth and multiple video I\/O interfaces, running on Linux operating system, and is very suitable for edge AI applications, robots, smart drones, smart monitoring systems and other industrial AI applications.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eProduct Datasheet: \u003ca href=\"https:\/\/download.t-firefly.com\/Spec\/Mainboards\/AIO-OrinNano_AIO-OrinNX_Specifications_EN.pdf\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Performance Edge Computing Module:\u003c\/strong\u003e Equipped with the NVIDIA Jetson Orin Nano edge computing module, it uses a six-core ARM CPU and a 1024-core NVIDIA Ampere architecture GPU (32 Tensor Cores), which can run multiple AI application pipelines concurrently, bringing powerful AI performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 157 TOPS Computing Power:\u003c\/strong\u003e It has an AI performance of up to 157 TOPS and supports mainstream AI models such as Transformer and ROS robot models. It supports TensorFlow, OpenCV, JetPack, MXNet, PyTorch and other frameworks to build complex deep neural networks, and has the capabilities of object recognition, target detection and tracking, speech recognition, and visual development, adapting to a variety of AI application scenarios.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFull-Scale Model Private Deployment:\u003c\/strong\u003e Supports private deployment of modern mainstream AI models, including large language models like LLaMA-2, ChatGLM, and Qwen; vision foundation models such as ViT, Grounding DINO, and SAM; as well as AIGC models like Stable Diffusion V1.5 for image generation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupports Up to 8K Video Decoding: \u003c\/strong\u003eIt can decode 18 channels of 1080p@30fps videos and supports: 1x8K@30fps, 2x4K@60fps, 4x4K@30fps, 9x1080p@60fps, and 18x1080p@30fps, meeting the needs of various AI application scenarios.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eApplications\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eEdge Generative AI: \u003c\/strong\u003eThe NVIDIA Jetson Orin series provides powerful AI computing capabilities, large unified memory, and a comprehensive software stack to execute the latest generative AI applications with ultra-efficiency. It can quickly infer any Transformer-based generative AI model and achieve excellent edge performance in MLPerf benchmarks.\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Software Stack and Ecosystem: \u003c\/strong\u003eDemocratize edge AI and robotics development with a complete AI software stack and ecosystem, powered by Edge-Generated AI, NVIDIA Metropolis, and the Isaac platform. NVIDIA JetPack, Isaac ROS, and reference AI workflows enable you to integrate advanced technologies into your products without relying on expensive in-house AI resources.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWide Range of Applications: \u003c\/strong\u003eApplicable to industries such as edge computing, robotics, large-scale model positioning, smart cities, smart medical care, and smart industrial applications.\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eHardware Overview\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/AIO-Orin.webp?v=1750059980\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/AIO-Orin2.webp?v=1750059995\" alt=\"\"\u003e\u003c\/p\u003e\n\u003chr\u003e\n\u003ch2\u003e\n  \u003c\/h2\u003e\n\u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"1\"\u003e\n    \u003ch3\u003eShipping list\u003c\/h3\u003e\n    \u003cul\u003e\n      \u003cli\u003eMain unit × 1\u003c\/li\u003e\n      \u003cli\u003ePower adapter \/ cable (region plug on request) × 1\u003c\/li\u003e\n      \u003cli\u003eAccessories vary by configuration — contact us for the exact included list.\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"2\"\u003e\n    \u003cdiv class=\"fx-specs\"\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAi performance\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eRobot model: ROS robot model is supported.\nLarge language models: Support Ollama local large model deployment framework, which can be used for natural language processing, code generation, and assistance scenarios. Support the private deployment of ultra-large-scale parametric models under the Transformer architecture, such as Llama3 and Phi-3 Mini.\nLarge visual models: Support the privatization deployment of large visual models such as EfficientViT, NanoOWL NanoSAM, SAM, and TAM.\nAl Painting: Support ComfyUl graphical deployment framework, which can be used for scenarios such as image restoration, image style conversion, and image synthesis. Supports the private deployment of Flux, Stable Diffusion and Stable DiffusionXL image generation models in the AlGc field.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAi software stack\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eThe NVIDIA Jetson Orin series delivers powerful Al compute power, massive unified memory, and a comprehensive software stack to power the latest generative Al applications. It enables fast inference on any generative Al model powered by the Transformer architecture, enabling superior edge performance on MLPerf.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eSoc\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eNVIDIA Jetson Orin NX\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eCpu\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eOcta-core 64-bit Arm Cortex-A78AE v8.2 processor, up to 2.0GHZ\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eTpu\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e157 TOPS\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eVpu\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eRam\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e16GB LPDDR5\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eStorage\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 x M.2 M-KEY (Expandable PCle NVMe SSD, supports 2242\/2260\/2280)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eDC 12V (5.5 x2.1mm, support 9V~24V wide voltage input)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003ePower consumption\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eNormal: 7.2W(12V\/600W)\nMax: 34.8W(12V\/2900mA)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eVideo output\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 x HDMI2.0 (4K@60fps)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eVideo input\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e2 x MIPI CSI DPHY (1 x 4 Lanes or 2 x 2 Lanes), Line in (Led by double row headers)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAudio\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 x 3.5mm Audio jack (Support MC recording, American Standard CTlA)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eOs\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eJetson systems based on Ubuntu 22.04 provide a complete desktop Linux environment with graphics acceleration and support for libraries such as NVIDlA CUDA, TensorRT CuDNN, and more.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eDimension\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e122.89 mm x 85.04 mm x 35.28mm\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eWeight\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eWithout Fan - 129g, with fan - 180g\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eEnvironment\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eOperating Temperature: -20℃~60°C\nStorage Temperature: -20°~ 70°C\nStorage Humidity: 10%~90%RH(non-condensing)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eOther interface\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 x FAN(4Pin-1.25mm), 1 x SlM Card, 1 x Debug (3Pin-2mm),\n1 x Double-row pin headers (2x10-20PIN-2.0mm): USB2.0, SPl, 2 x 12C, Line in, Line out, GPl0\n1 x Phoenix connector (2x4Pin,3.5mm pitch): 1 x RS485, 1 x RS232,1 x CAN 2.0\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eButton\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 x Reset, 1 x Recovery, 1 x Power\u003c\/div\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"3\"\u003e\n        \u003cdiv class=\"fx-docs\"\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct tutorials\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct datasheet\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eSDK software and firmware files\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eDocument links will be replaced with the official Firefly resource URLs on request.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"4\"\u003e\n        \u003cp\u003e\u003cb\u003eOur cooperating carriers:\u003c\/b\u003e FedEx, DHL, UPS, SF Express\u003c\/p\u003e\n    \u003ch3\u003eDelivery Area And Cost\u003c\/h3\u003e\n    \u003cdiv class=\"fx-scroll\"\u003e\n      \u003ctable class=\"fx-table\"\u003e\n        \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eCountry\/Region\u003c\/th\u003e\n\u003cth\u003e0–2kg\u003c\/th\u003e\n\u003cth\u003e2–3kg\u003c\/th\u003e\n\u003cth\u003e3–4kg\u003c\/th\u003e\n\u003cth\u003e4–5kg\u003c\/th\u003e\n\u003cth\u003e5–6kg\u003c\/th\u003e\n\u003cth\u003e6–7kg\u003c\/th\u003e\n\u003cth\u003e7–8kg\u003c\/th\u003e\n\u003cth\u003e8–9kg\u003c\/th\u003e\n\u003cth\u003e9–10kg\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n        \u003ctbody\u003e\n          \u003ctr\u003e\n\u003ctd\u003eJapan, Taiwan, Hong Kong, Macau\u003c\/td\u003e\n\u003ctd\u003e$15\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSingapore, Thailand, Malaysia\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eIndonesia, Philippines\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003ctd\u003e$70\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSouth Korea\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eUnited States, Australia, New Zealand, Canada, UK, and most of Western Europe\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$75\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$105\u003c\/td\u003e\n\u003ctd\u003e$115\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eOther regions (Eastern Europe, Middle East, Latin America, etc.)\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$110\u003c\/td\u003e\n\u003ctd\u003e$125\u003c\/td\u003e\n\u003ctd\u003e$135\u003c\/td\u003e\n\u003ctd\u003e$150\u003c\/td\u003e\n\u003ctd\u003e$165\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003c\/tbody\u003e\n      \u003c\/table\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eShipping time is for reference only; the actual situation shall prevail.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"5\"\u003e\n    Why Buy From Ai-Paipai?\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eAuthorized \u0026amp; Genuine\u003c\/b\u003e — sourced directly from brand-approved channels.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLocal Engineering Support\u003c\/b\u003e — datasheets, SDKs, and pre-flashed images in English and Chinese.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOEM \/ ODM \u0026amp; FPGA Customization\u003c\/b\u003e — tailor specs, enclosures, and BSP for your project.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOne-Stop Sourcing\u003c\/b\u003e — Firefly + youyeetoo + our own FPGA \/ edge lineup in one store.\u003c\/li\u003e\n\u003c\/ul\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cstyle\u003e\n  .fx-tabs{margin:24px 0;border:1px solid #e5e7eb;border-radius:10px;overflow:hidden;background:#fff}\n  .fx-tablist{display:flex;flex-wrap:wrap;gap:0;border-bottom:1px solid #e5e7eb;background:#f8fafc}\n  .fx-tab{flex:1 1 auto;min-width:120px;padding:14px 16px;border:0;background:transparent;cursor:pointer;font:600 14px\/1.3 inherit;color:#475569;border-bottom:3px solid transparent;transition:.18s}\n  .fx-tab:hover{color:#0f172a;background:#eef2f7}\n  .fx-tab.is-active{color:#0f172a;border-bottom-color:#2563eb;background:#fff}\n  .fx-panel{display:none;padding:22px 24px}\n  .fx-panel.is-active{display:block}\n  .fx-panel h3{font-size:16px;margin:22px 0 8px;font-weight:700}\n  .fx-panel h3:first-child{margin-top:0}\n  .fx-panel p{margin:10px 0;line-height:1.65}\n  .fx-panel ul{margin:10px 0;padding-left:22px}\n  .fx-panel li{margin:6px 0;line-height:1.6}\n  .fx-auth{background:#f0fdf4;border:1px solid #bbf7d0;border-radius:8px;padding:12px 14px;margin:0 0 16px;font-size:14px;line-height:1.6}\n  .fx-specs{border-top:1px solid #eef2f7}\n  .fx-spec{display:grid;grid-template-columns:230px 1fr;gap:16px;padding:12px 4px;border-bottom:1px solid #eef2f7}\n  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RAM","offer_id":48422471860482,"sku":"firefly-aio-orinnx-nvidia-jetson-orin-nx-motherboard-42276376969300","price":1479.0,"currency_code":"USD","in_stock":true},{"title":"16G RAM+128G SSD without WiFi","offer_id":48422471893250,"sku":"firefly-aio-orinnx-nvidia-jetson-orin-nx-motherboard-41983776784468","price":1509.0,"currency_code":"USD","in_stock":true},{"title":"8G RAM+256G SSD without WiFi","offer_id":48422471926018,"sku":"firefly-aio-orinnx-nvidia-jetson-orin-nx-motherboard-45300337279060","price":1129.0,"currency_code":"USD","in_stock":true},{"title":"16G RAM+256G SSD without WiFi","offer_id":48422471958786,"sku":"firefly-aio-orinnx-nvidia-jetson-orin-nx-motherboard-45300337311828","price":1619.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0837\/5953\/0242\/files\/AIO-OrinNX1_85baece3-99c9-452e-907c-689f7eed5db5.webp?v=1788244332"},{"product_id":"aio-orinnano-nvidia-jetson-orin-nano-motherboard","title":"AIO-OrinNano Jetson Orin Nano Robotics Motherboard","description":"\u003cp class=\"geo-summary\" style=\"font-size:1rem;line-height:1.65;margin:0 0 1.25rem;padding:0 0 1rem;border-bottom:1px solid #e5e7eb;color:#1f2937\"\u003e\u003cstrong\u003eAIO-OrinNano Jetson Orin Nano Robotics Motherboard\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Cpu: Hexa-core 64-bit ARM Cortex-A78AE v8.2 processor, up to… · Ai performance: Robot model: ROS robot model is supported. Large… · Ram: 8GB LPDDR5 · Storage: 1 x M.2 M-KEY (Expandable PCle NVMe SSD, supports… · Video output: 1 x HDMI2.0 (4K@30fps). Typical applications: edge AI inference, machine vision and IoT gateway deployments. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK \/ OS images, OEM \/ ODM customization, and worldwide shipping.\u003c\/p\u003e\n\u003c!-- Firefly product tabs --\u003e\n\u003cdiv class=\"fx-tabs\" data-fx-tabs\u003e\n  \u003cdiv class=\"fx-tablist\" role=\"tablist\"\u003e\n    \u003cbutton class=\"fx-tab is-active\" role=\"tab\" data-fx-tab=\"0\"\u003eDescription\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"1\"\u003eWhat's Included\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"2\"\u003eSpecifications\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"3\"\u003eDocuments\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"4\"\u003eShipping Information\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"5\"\u003eWhy Buy From Ai-Paipai?\u003c\/button\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel is-active\" data-fx-panel=\"0\"\u003e\n\u003cdiv style=\"border:2px solid #2b6cb0;background:#f0f7ff;padding:14px 18px;margin:0 0 18px;border-radius:8px;\"\u003e\n\u003ch3 style=\"margin:0 0 6px;color:#2b6cb0;\"\u003e✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)\u003c\/h3\u003e\n\u003cp style=\"margin:0;font-size:14px;\"\u003eThis product is supplied by an \u003cb\u003eauthorized distributor\u003c\/b\u003e of the original brand.\nWe provide \u003cb\u003elocal technical support, pre-installed SDK \/ mirror images, and OEM \/ ODM customization\u003c\/b\u003e, plus fast global shipping.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003eAIO-OrinNano is equipped with NVIDIA Jetson Orin Nano core module, providing up to 67 TOPS computing power, supporting private deployment of modern mainstream AI models, and supporting up to 4K video decoding. It has comprehensive connection options, including Gigabit Ethernet, dual-band WiFi, 4G\/5G, Bluetooth and multiple video I\/O interfaces, running on Linux operating system, and is very suitable for edge AI applications, robots, smart drones, smart monitoring systems and other industrial AI applications.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eProduct Datasheet: \u003ca href=\"https:\/\/download.t-firefly.com\/Spec\/Mainboards\/AIO-OrinNano_AIO-OrinNX_Specifications_EN.pdf\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Performance Edge Computing Module:\u003c\/strong\u003e Equipped with the NVIDIA Jetson Orin Nano edge computing module (8GB version), it uses a six-core ARM CPU and a 1024-core NVIDIA Ampere architecture GPU (32 Tensor Cores), which can run multiple AI application pipelines concurrently, bringing powerful AI performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 67 TOPS Computing Power:\u003c\/strong\u003e It has an AI performance of up to 67 TOPS and supports mainstream AI models such as Transformer and ROS robot models. It supports TensorFlow, OpenCV, JetPack, MXNet, PyTorch and other frameworks to build complex deep neural networks, and has the capabilities of object recognition, target detection and tracking, speech recognition, and visual development, adapting to a variety of AI application scenarios.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFull-Scale Model Private Deployment:\u003c\/strong\u003e Supports private deployment of modern mainstream AI models, including large language models like LLaMA-2, ChatGLM, and Qwen; vision foundation models such as ViT, Grounding DINO, and SAM; as well as AIGC models like Stable Diffusion V1.5 for image generation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupports Up to 4K Video Decoding: \u003c\/strong\u003eIt can decode 11 channels of 1080p30 H.265 videos and supports: 1x4K60 (H.265), 2x4K30 (H.265), and 5x1080p60 (H.265). It meets the needs of various AI-driven visual applications.\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eApplications\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eEdge Generative AI: \u003c\/strong\u003eThe NVIDIA Jetson Orin series provides powerful AI computing capabilities, large unified memory, and a comprehensive software stack to execute the latest generative AI applications with ultra-efficiency. It can quickly infer any Transformer-based generative AI model and achieve excellent edge performance in MLPerf benchmarks.\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Software Stack and Ecosystem: \u003c\/strong\u003eDemocratize edge AI and robotics development with a complete AI software stack and ecosystem, powered by Edge-Generated AI, NVIDIA Metropolis, and the Isaac platform. NVIDIA JetPack, Isaac ROS, and reference AI workflows enable you to integrate advanced technologies into your products without relying on expensive in-house AI resources.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWide Range of Applications: \u003c\/strong\u003eApplicable to industries such as edge computing, robotics, large-scale model positioning, smart cities, smart medical care, and smart industrial applications.\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eHardware Overview\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/AIO-Orin.webp?v=1750059980\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/AIO-Orin2.webp?v=1750059995\" alt=\"\"\u003e\u003c\/p\u003e\n\u003chr\u003e\n\u003ch2\u003e\n  \u003c\/h2\u003e\n\u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"1\"\u003e\n    \u003ch3\u003eShipping list\u003c\/h3\u003e\n    \u003cul\u003e\n      \u003cli\u003eMain unit × 1\u003c\/li\u003e\n      \u003cli\u003ePower adapter \/ cable (region plug on request) × 1\u003c\/li\u003e\n      \u003cli\u003eAccessories vary by configuration — contact us for the exact included list.\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"2\"\u003e\n    \u003cdiv class=\"fx-specs\"\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eShipping list\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eAIO-OrinNano*1\nPower Adapter*1\nType-C 3.0 Cable\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAi performance\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eRobot model: ROS robot model is supported.\nLarge language models: Support Ollama local large model deployment framework, which can be used for natural language processing, code generation, and assistance scenarios. Support the private deployment of ultra-large-scale parametric models under the Transformer architecture, such as Llama3 and Phi-3 Mini.\nLarge visual models: Support the privatization deployment of large visual models such as EfficientViT, NanoOWL NanoSAM, SAM, and TAM.\nAl Painting: Support ComfyUl graphical deployment framework, which can be used for scenarios such as image restoration, image style conversion, and image synthesis. Supports the private deployment of Flux, Stable Diffusion and Stable DiffusionXL image generation models in the AlGc field.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAi software stack\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eThe NVIDIA Jetson Orin series delivers powerful Al compute power, massive unified memory, and a comprehensive software stack to power the latest generative Al applications. It enables fast inference on any generative Al model powered by the Transformer architecture, enabling superior edge performance on MLPerf.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eCpu\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eHexa-core 64-bit ARM Cortex-A78AE v8.2 processor, up to 1.7GHZ\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eTpu\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e67 TOPS\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eVpu\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eRam\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e8GB LPDDR5\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eStorage\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 x M.2 M-KEY (Expandable PCle NVMe SSD, supports 2242\/2260\/2280)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eDC 12V (5.5 x2.1mm, support 9V~24V wide voltage input)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003ePower consumption\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eNormal: 6W(12V\/500mA)\nMax: 30W (12V\/2500mA)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eVideo output\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 x HDMI2.0 (4K@30fps)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eVideo input\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e2 x MIPI CSI DPHY (1 x 4 Lanes or 2 x 2 Lanes), Line in (Led by double row headers)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAudio\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 x 3.5mm Audio jack (Support MC recording, American Standard CTlA)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eOs\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eJetson systems based on Ubuntu 22.04 provide a complete desktop Linux environment with graphics acceleration and support for libraries such as NVIDlA CUDA, TensorRT CuDNN, and more.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eDimension\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e122.89 mm x 85.04 mm x 35.28mm\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eWeight\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eWithout Fan - 129g, with fan - 180g\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eEnvironment\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eOperating Temperature: -20℃~60°C\nStorage Temperature: -20°~ 70°C\nStorage Humidity: 10%~90%RH(non-condensing)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eOther interface\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 x FAN(4Pin-1.25mm), 1 x SlM Card, 1 x Debug (3Pin-2mm),\n1 x Double-row pin headers (2x10-20PIN-2.0mm): USB2.0, SPl, 2 x 12C, Line in, Line out, GPl0\n1 x Phoenix connector (2x4Pin,3.5mm pitch): 1 x RS485, 1 x RS232,1 x CAN 2.0\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eButton\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 x Reset, 1 x Recovery, 1 x Power\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eProduct datasheet\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"3\"\u003e\n        \u003cdiv class=\"fx-docs\"\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct tutorials\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct datasheet\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eSDK software and firmware files\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eDocument links will be replaced with the official Firefly resource URLs on request.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"4\"\u003e\n        \u003cp\u003e\u003cb\u003eOur cooperating carriers:\u003c\/b\u003e FedEx, DHL, UPS, SF Express\u003c\/p\u003e\n    \u003ch3\u003eDelivery Area And Cost\u003c\/h3\u003e\n    \u003cdiv class=\"fx-scroll\"\u003e\n      \u003ctable class=\"fx-table\"\u003e\n        \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eCountry\/Region\u003c\/th\u003e\n\u003cth\u003e0–2kg\u003c\/th\u003e\n\u003cth\u003e2–3kg\u003c\/th\u003e\n\u003cth\u003e3–4kg\u003c\/th\u003e\n\u003cth\u003e4–5kg\u003c\/th\u003e\n\u003cth\u003e5–6kg\u003c\/th\u003e\n\u003cth\u003e6–7kg\u003c\/th\u003e\n\u003cth\u003e7–8kg\u003c\/th\u003e\n\u003cth\u003e8–9kg\u003c\/th\u003e\n\u003cth\u003e9–10kg\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n        \u003ctbody\u003e\n          \u003ctr\u003e\n\u003ctd\u003eJapan, Taiwan, Hong Kong, Macau\u003c\/td\u003e\n\u003ctd\u003e$15\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSingapore, Thailand, Malaysia\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eIndonesia, Philippines\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003ctd\u003e$70\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSouth Korea\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eUnited States, Australia, New Zealand, Canada, UK, and most of Western Europe\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$75\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$105\u003c\/td\u003e\n\u003ctd\u003e$115\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eOther regions (Eastern Europe, Middle East, Latin America, etc.)\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$110\u003c\/td\u003e\n\u003ctd\u003e$125\u003c\/td\u003e\n\u003ctd\u003e$135\u003c\/td\u003e\n\u003ctd\u003e$150\u003c\/td\u003e\n\u003ctd\u003e$165\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003c\/tbody\u003e\n      \u003c\/table\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eShipping time is for reference only; the actual situation shall prevail.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"5\"\u003e\n    Why Buy From Ai-Paipai?\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eAuthorized \u0026amp; Genuine\u003c\/b\u003e — sourced directly from brand-approved channels.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLocal Engineering Support\u003c\/b\u003e — datasheets, SDKs, and pre-flashed images in English and Chinese.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOEM \/ ODM \u0026amp; FPGA Customization\u003c\/b\u003e — tailor specs, enclosures, and BSP for your project.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOne-Stop Sourcing\u003c\/b\u003e — Firefly + youyeetoo + our own FPGA \/ edge lineup in one store.\u003c\/li\u003e\n\u003c\/ul\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cstyle\u003e\n  .fx-tabs{margin:24px 0;border:1px solid #e5e7eb;border-radius:10px;overflow:hidden;background:#fff}\n  .fx-tablist{display:flex;flex-wrap:wrap;gap:0;border-bottom:1px solid #e5e7eb;background:#f8fafc}\n  .fx-tab{flex:1 1 auto;min-width:120px;padding:14px 16px;border:0;background:transparent;cursor:pointer;font:600 14px\/1.3 inherit;color:#475569;border-bottom:3px solid transparent;transition:.18s}\n  .fx-tab:hover{color:#0f172a;background:#eef2f7}\n  .fx-tab.is-active{color:#0f172a;border-bottom-color:#2563eb;background:#fff}\n  .fx-panel{display:none;padding:22px 24px}\n  .fx-panel.is-active{display:block}\n  .fx-panel h3{font-size:16px;margin:22px 0 8px;font-weight:700}\n  .fx-panel h3:first-child{margin-top:0}\n  .fx-panel p{margin:10px 0;line-height:1.65}\n  .fx-panel ul{margin:10px 0;padding-left:22px}\n  .fx-panel li{margin:6px 0;line-height:1.6}\n  .fx-auth{background:#f0fdf4;border:1px solid #bbf7d0;border-radius:8px;padding:12px 14px;margin:0 0 16px;font-size:14px;line-height:1.6}\n  .fx-specs{border-top:1px solid #eef2f7}\n  .fx-spec{display:grid;grid-template-columns:230px 1fr;gap:16px;padding:12px 4px;border-bottom:1px solid #eef2f7}\n  .fx-k{font-weight:700;color:#334155}\n  .fx-v{color:#475569}\n  .fx-docs{display:flex;flex-direction:column;gap:10px}\n  .fx-doc{display:flex;justify-content:space-between;align-items:center;gap:12px;padding:12px 14px;border:1px solid #e5e7eb;border-radius:8px}\n  .fx-doc a{color:#2563eb;font-weight:700;text-decoration:none}\n  .fx-doc a:hover{text-decoration:underline}\n  .fx-scroll{overflow-x:auto}\n  .fx-table{border-collapse:collapse;width:100%;min-width:760px;font-size:13px}\n  .fx-table th,.fx-table td{border:1px solid #e5e7eb;padding:8px 10px;text-align:left}\n  .fx-table th{background:#f8fafc;font-weight:700}\n  .fx-note{color:#64748b;font-size:13px;margin-top:12px}\n  @media (max-width:749px){.fx-spec{grid-template-columns:1fr;gap:4px}.fx-tab{min-width:50%;flex:1 1 50%}.fx-panel{padding:16px}}\n\u003c\/style\u003e\n\n\u003cscript\u003e\n  (function () {\n    var roots = document.querySelectorAll('[data-fx-tabs]');\n    roots.forEach(function (root) {\n      var tabs = root.querySelectorAll('[data-fx-tab]');\n      var panels = root.querySelectorAll('[data-fx-panel]');\n      tabs.forEach(function (t) {\n        t.addEventListener('click', function () {\n          var i = t.getAttribute('data-fx-tab');\n          tabs.forEach(function (x) { x.classList.toggle('is-active', x === t); });\n          panels.forEach(function (p) { p.classList.toggle('is-active', p.getAttribute('data-fx-panel') === i); });\n        });\n      });\n    });\n  })();\n\u003c\/script\u003e","brand":"Firefly","offers":[{"title":"8G RAM","offer_id":48422472024322,"sku":"firefly-aio-orinnano-nvidia-jetson-orin-nano-motherboard-42276619223124","price":659.0,"currency_code":"USD","in_stock":true},{"title":"8G RAM+128G SSD without WiFi","offer_id":48422472057090,"sku":"firefly-aio-orinnano-nvidia-jetson-orin-nano-motherboard-41983825805396","price":679.0,"currency_code":"USD","in_stock":true},{"title":"8G RAM+256G SSD without WiFi","offer_id":48422472089858,"sku":"firefly-aio-orinnano-nvidia-jetson-orin-nano-motherboard-45300266205268","price":789.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0837\/5953\/0242\/files\/AIO-OrinNX1.webp?v=1788244333"},{"product_id":"csb1-n10norinnx-computing-server-1000t-large-model-privatization-deployment-bmc-nvidia","title":"CSB1-N10NorinNX Jetson Orin NX Server","description":"\u003cp class=\"geo-summary\" style=\"font-size:1rem;line-height:1.65;margin:0 0 1.25rem;padding:0 0 1rem;border-bottom:1px solid #e5e7eb;color:#1f2937\"\u003e\u003cstrong\u003eCSB1-N10NorinNX Jetson Orin NX Server\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Ai computing power: 1570 TOPS (INT8) · Ram: 16GB LPDDR5 × 10 (Number of compute nodes) · Storage: 256GB (2242 PCIe NVMe SSD, the server is internally… · Display: 1 × VGA (maximum resolution 1080P, BMC management display) · Storage expansion: 3.5-inch\/2.5-inch SATA3.0\/SSD hard drive slot × 1 (BMC…. Typical applications: edge AI inference, machine vision and IoT gateway deployments. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK \/ OS images, OEM \/ ODM customization, and worldwide shipping.\u003c\/p\u003e\n\u003c!-- Firefly product tabs --\u003e\n\u003cdiv class=\"fx-tabs\" data-fx-tabs\u003e\n  \u003cdiv class=\"fx-tablist\" role=\"tablist\"\u003e\n    \u003cbutton class=\"fx-tab is-active\" role=\"tab\" data-fx-tab=\"0\"\u003eDescription\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"1\"\u003eWhat's Included\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"2\"\u003eSpecifications\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"3\"\u003eDocuments\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"4\"\u003eShipping Information\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"5\"\u003eWhy Buy From Ai-Paipai?\u003c\/button\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel is-active\" data-fx-panel=\"0\"\u003e\n\u003cdiv style=\"border:2px solid #2b6cb0;background:#f0f7ff;padding:14px 18px;margin:0 0 18px;border-radius:8px;\"\u003e\n\u003ch3 style=\"margin:0 0 6px;color:#2b6cb0;\"\u003e✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)\u003c\/h3\u003e\n\u003cp style=\"margin:0;font-size:14px;\"\u003eThis product is supplied by an \u003cb\u003eauthorized distributor\u003c\/b\u003e of the original brand.\nWe provide \u003cb\u003elocal technical support, pre-installed SDK \/ mirror images, and OEM \/ ODM customization\u003c\/b\u003e, plus fast global shipping.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003eMachines with deployed DeepSeek specifications come with deployment software and model files for DeepSeek-R1 series distillation models, allowing you to quickly run the reasoning of DeepSeek-R1 series distillation models at hand\u003c\/div\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNX-_-__02_c1777213-91d1-4c17-bfb0-26df23c9ece7.png?v=1737095184\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNX-_-__03_5c12fd70-1c12-419e-8ef4-9bacf7517c48.png?v=1737095214\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNX-_-__04.png?v=1732703928\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNX-_-__05_bd56dfbc-b993-4cdd-a8c5-b249367e5c9a.png?v=1737095233\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNX-_-__06.png?v=1732703926\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNX-_-__07.png?v=1732703929\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNX-_-__08.png?v=1732703928\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNX-_-__09_e1e97501-ac49-42e9-851f-c81380f6084e.png?v=1737095269\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNX-_-__10.jpg?v=1732703928\"\u003e\u003c\/p\u003e\n\u003chr\u003e\n\u003ch2\u003e\n  \u003c\/h2\u003e\n\u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"1\"\u003e\n    \u003ch3\u003eShipping list\u003c\/h3\u003e\n    \u003cul\u003e\n      \u003cli\u003eMain unit × 1\u003c\/li\u003e\n      \u003cli\u003ePower adapter \/ cable (region plug on request) × 1\u003c\/li\u003e\n      \u003cli\u003eAccessories vary by configuration — contact us for the exact included list.\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"2\"\u003e\n    \u003cdiv class=\"fx-specs\"\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eServer form\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1U rack-mounted computing power server\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eNumber of nodes\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e10 distributed computing nodes (up to 80 ARM cores) + 1 control node\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eCompute nodes\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eOcta-core 64-bit processor NVIDIA Jetson OrinNX, main frequency up to 2.0GHz\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eControl nodes\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eOcta-core 64-bit processor RK3588, main frequency up to 2.4GHz, the highest computing power is 6TOPS\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAi computing power\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1570 TOPS (INT8)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eFan module\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e6 high-speed cooling fans\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eInstallation requirements\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eIEC 297 Universal Cabinet Installation: 19 inches wide and 800 mm deep and above\nRetractable slideway installation: The distance between the front and rear holes of the cabinet is 543.5mm~848.5mm\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eBmc\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eThe BMC management system is integrated with the web-based management interface, supporting Redfish, VNC, NTP, monitoring advanced and virtual media, and the BMC management system can be redeveloped\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eLarge model\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eRobot model: The ROS robot model is supported.\nLarge language models: Support Ollama local large model deployment framework, which can be used for natural language processing, code generation, and assistance scenarios. Support the private deployment of ultra-large-scale parametric models under the Transformer architecture, such as LLaMa3 and Phi-3 Mini. \nLarge visual models: Support the privatization deployment of large visual models such as EfficientVIT, NanoOWL, NanoSAM, SAM, and TAM.\nAI Painting: Support ComfyUI graphical deployment framework, which can be used for scenarios such as image restoration, image style conversion, and image synthesis. Supports the private deployment of Flux, Stable Diffusion, and Stable Diffusion XL image generation model in the AIGC field.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eDeep learning\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eSupports multiple deep learning frameworks accelerated by cuDNN, including PaddlePaddle, PyTorch, TensorFlow, MATLAB, MxNet, Caffe2, Chainer, and Keras.\nSupports custom operator development.\nDocker containerization: Docker containerization technology is supported, which can be easily used for image deployment.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eConsole\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 × Console (RJ45, BMC debug serial port, baud rate 115200)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eRam\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e16GB LPDDR5 × 10 (Number of compute nodes)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eStorage\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e256GB (2242 PCIe NVMe SSD, the server is internally assembled)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eStorage expansion\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e3.5-inch\/2.5-inch SATA3.0\/SSD hard drive slot × 1 (BMC can directly operate the hard drive, and computing child nodes can indirectly access the hard drive through the network sharing method provided by BMC)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e550W AC power supply (Input: 90V AC~264V AC, 47 Hz~63 Hz, 8A) (Hot swappable not supported)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eDisplay\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 × VGA (maximum resolution 1080P, BMC management display)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eDimension\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e420.0 mm(L) × 421.3 mm(W) × 44.4 mm(H)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eWeight\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eServer net weight: 8.1kg, total weight with packaging: 10.3kg\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eEnvironment\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eOperating Temperature: 0ºC ~ 45ºC\nStorage Temperature: -40ºC ~ 60ºC\nOperating Humidity: 5% ~ 90%RH(non-condensing)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eOther interface\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 × RS232 (DB9, baud rate 115200),1 × RS485 (DB9, baud rate 115200)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eUsb\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e2 × USB3.0 (The lower USB is USB3.0 OTG, and the BMC can be upgraded OTG by using a USB flash drive)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eButton\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 × Reset, 1 × UID, 1 × Power button\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eProduct tutorials\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eSdk software and firmware files\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"3\"\u003e\n        \u003cdiv class=\"fx-docs\"\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct tutorials\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct datasheet\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eSDK software and firmware files\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eDocument links will be replaced with the official Firefly resource URLs on request.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"4\"\u003e\n        \u003cp\u003e\u003cb\u003eOur cooperating carriers:\u003c\/b\u003e FedEx, DHL, UPS, SF Express\u003c\/p\u003e\n    \u003ch3\u003eDelivery Area And Cost\u003c\/h3\u003e\n    \u003cdiv class=\"fx-scroll\"\u003e\n      \u003ctable class=\"fx-table\"\u003e\n        \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eCountry\/Region\u003c\/th\u003e\n\u003cth\u003e0–2kg\u003c\/th\u003e\n\u003cth\u003e2–3kg\u003c\/th\u003e\n\u003cth\u003e3–4kg\u003c\/th\u003e\n\u003cth\u003e4–5kg\u003c\/th\u003e\n\u003cth\u003e5–6kg\u003c\/th\u003e\n\u003cth\u003e6–7kg\u003c\/th\u003e\n\u003cth\u003e7–8kg\u003c\/th\u003e\n\u003cth\u003e8–9kg\u003c\/th\u003e\n\u003cth\u003e9–10kg\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n        \u003ctbody\u003e\n          \u003ctr\u003e\n\u003ctd\u003eJapan, Taiwan, Hong Kong, Macau\u003c\/td\u003e\n\u003ctd\u003e$15\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSingapore, Thailand, Malaysia\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eIndonesia, Philippines\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003ctd\u003e$70\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSouth Korea\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eUnited States, Australia, New Zealand, Canada, UK, and most of Western Europe\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$75\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$105\u003c\/td\u003e\n\u003ctd\u003e$115\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eOther regions (Eastern Europe, Middle East, Latin America, etc.)\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$110\u003c\/td\u003e\n\u003ctd\u003e$125\u003c\/td\u003e\n\u003ctd\u003e$135\u003c\/td\u003e\n\u003ctd\u003e$150\u003c\/td\u003e\n\u003ctd\u003e$165\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003c\/tbody\u003e\n      \u003c\/table\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eShipping time is for reference only; the actual situation shall prevail.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"5\"\u003e\n    Why Buy From Ai-Paipai?\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eAuthorized \u0026amp; Genuine\u003c\/b\u003e — sourced directly from brand-approved channels.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLocal Engineering Support\u003c\/b\u003e — datasheets, SDKs, and pre-flashed images in English and Chinese.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOEM \/ ODM \u0026amp; FPGA Customization\u003c\/b\u003e — tailor specs, enclosures, and BSP for your project.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOne-Stop Sourcing\u003c\/b\u003e — Firefly + youyeetoo + our own FPGA \/ edge lineup in one store.\u003c\/li\u003e\n\u003c\/ul\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cstyle\u003e\n  .fx-tabs{margin:24px 0;border:1px solid #e5e7eb;border-radius:10px;overflow:hidden;background:#fff}\n  .fx-tablist{display:flex;flex-wrap:wrap;gap:0;border-bottom:1px solid #e5e7eb;background:#f8fafc}\n  .fx-tab{flex:1 1 auto;min-width:120px;padding:14px 16px;border:0;background:transparent;cursor:pointer;font:600 14px\/1.3 inherit;color:#475569;border-bottom:3px solid transparent;transition:.18s}\n  .fx-tab:hover{color:#0f172a;background:#eef2f7}\n  .fx-tab.is-active{color:#0f172a;border-bottom-color:#2563eb;background:#fff}\n  .fx-panel{display:none;padding:22px 24px}\n  .fx-panel.is-active{display:block}\n  .fx-panel h3{font-size:16px;margin:22px 0 8px;font-weight:700}\n  .fx-panel h3:first-child{margin-top:0}\n  .fx-panel p{margin:10px 0;line-height:1.65}\n  .fx-panel ul{margin:10px 0;padding-left:22px}\n  .fx-panel li{margin:6px 0;line-height:1.6}\n  .fx-auth{background:#f0fdf4;border:1px solid #bbf7d0;border-radius:8px;padding:12px 14px;margin:0 0 16px;font-size:14px;line-height:1.6}\n  .fx-specs{border-top:1px solid #eef2f7}\n  .fx-spec{display:grid;grid-template-columns:230px 1fr;gap:16px;padding:12px 4px;border-bottom:1px solid #eef2f7}\n  .fx-k{font-weight:700;color:#334155}\n  .fx-v{color:#475569}\n  .fx-docs{display:flex;flex-direction:column;gap:10px}\n  .fx-doc{display:flex;justify-content:space-between;align-items:center;gap:12px;padding:12px 14px;border:1px solid #e5e7eb;border-radius:8px}\n  .fx-doc a{color:#2563eb;font-weight:700;text-decoration:none}\n  .fx-doc a:hover{text-decoration:underline}\n  .fx-scroll{overflow-x:auto}\n  .fx-table{border-collapse:collapse;width:100%;min-width:760px;font-size:13px}\n  .fx-table th,.fx-table td{border:1px solid #e5e7eb;padding:8px 10px;text-align:left}\n  .fx-table th{background:#f8fafc;font-weight:700}\n  .fx-note{color:#64748b;font-size:13px;margin-top:12px}\n  @media (max-width:749px){.fx-spec{grid-template-columns:1fr;gap:4px}.fx-tab{min-width:50%;flex:1 1 50%}.fx-panel{padding:16px}}\n\u003c\/style\u003e\n\n\u003cscript\u003e\n  (function () {\n    var roots = document.querySelectorAll('[data-fx-tabs]');\n    roots.forEach(function (root) {\n      var tabs = root.querySelectorAll('[data-fx-tab]');\n      var panels = root.querySelectorAll('[data-fx-panel]');\n      tabs.forEach(function (t) {\n        t.addEventListener('click', function () {\n          var i = t.getAttribute('data-fx-tab');\n          tabs.forEach(function (x) { x.classList.toggle('is-active', x === t); });\n          panels.forEach(function (p) { p.classList.toggle('is-active', p.getAttribute('data-fx-panel') === i); });\n        });\n      });\n    });\n  })();\n\u003c\/script\u003e","brand":"Firefly","offers":[{"title":"16G RAM+128G ROM","offer_id":48422475268354,"sku":"firefly-csb1-n10norinnx-computing-server-1000t-large-model-privatization-deployment-bmc-nvidia-41728161513556","price":19569.0,"currency_code":"USD","in_stock":true},{"title":"16G RAM+256G ROM","offer_id":48422475301122,"sku":"firefly-csb1-n10norinnx-computing-server-1000t-large-model-privatization-deployment-bmc-nvidia-45300461731924","price":20029.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0837\/5953\/0242\/files\/800800-1_4cf9b096-de55-4f6a-bc44-087f8cfdaffa.jpg?v=1788242781"},{"product_id":"csb1-n10norinnano-computing-power-server-400t-large-model-privatization-deployment-bmc-nvidia","title":"CSB1-N10NorinNano Jetson Orin Nano AI Server","description":"\u003cp class=\"geo-summary\" style=\"font-size:1rem;line-height:1.65;margin:0 0 1.25rem;padding:0 0 1rem;border-bottom:1px solid #e5e7eb;color:#1f2937\"\u003e\u003cstrong\u003eCSB1-N10NorinNano Jetson Orin Nano AI Server\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Ai computing power: 670 TOPS (INT8) · Ram: 8GB LPDDR5 × 10 (Number of compute nodes) · Storage: 256GB (2242 PCIe NVMe SSD, the server is internally… · Display: 1 × VGA (maximum resolution 1080P, BMC management display) · Storage expansion: 3.5-inch\/2.5-inch SATA3.0\/SSD hard drive slot × 1 (BMC…. Typical applications: edge AI inference, machine vision and industrial automation. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK \/ OS images, OEM \/ ODM customization, and worldwide shipping.\u003c\/p\u003e\n\u003c!-- Firefly product tabs --\u003e\n\u003cdiv class=\"fx-tabs\" data-fx-tabs\u003e\n  \u003cdiv class=\"fx-tablist\" role=\"tablist\"\u003e\n    \u003cbutton class=\"fx-tab is-active\" role=\"tab\" data-fx-tab=\"0\"\u003eDescription\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"1\"\u003eWhat's Included\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"2\"\u003eSpecifications\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"3\"\u003eDocuments\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"4\"\u003eShipping Information\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"5\"\u003eWhy Buy From Ai-Paipai?\u003c\/button\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel is-active\" data-fx-panel=\"0\"\u003e\n\u003cdiv style=\"border:2px solid #2b6cb0;background:#f0f7ff;padding:14px 18px;margin:0 0 18px;border-radius:8px;\"\u003e\n\u003ch3 style=\"margin:0 0 6px;color:#2b6cb0;\"\u003e✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)\u003c\/h3\u003e\n\u003cp style=\"margin:0;font-size:14px;\"\u003eThis product is supplied by an \u003cb\u003eauthorized distributor\u003c\/b\u003e of the original brand.\nWe provide \u003cb\u003elocal technical support, pre-installed SDK \/ mirror images, and OEM \/ ODM customization\u003c\/b\u003e, plus fast global shipping.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003eMachines with deployed DeepSeek specifications come with deployment software and model files for DeepSeek-R1 series distillation models, allowing you to quickly run the reasoning of DeepSeek-R1 series distillation models at hand\u003c\/p\u003e\n\u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNano-_-__02_cca198c2-c0d3-4c69-b139-98235480b817.png?v=1737095337\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNano-_-__03_d0b5a512-7bce-4f76-9d3f-1dafdbbed1bb.png?v=1737095337\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNano-_-__04.png?v=1732703190\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNano-_-__05_da6dda4c-c88f-44e8-9f73-2eb11d7a7bcb.png?v=1737095337\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNano-_-__06.png?v=1732703187\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNano-_-__07.png?v=1732703190\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNano-_-__08.png?v=1732703188\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNano-_-__09_5792e34d-b8a6-4923-b029-f76c2fd6810b.png?v=1737095337\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/CSB1-N10NOrinNano-_-__10.png?v=1732703185\"\u003e\u003c\/p\u003e\n\u003chr\u003e\n\u003ch2\u003e\n  \u003c\/h2\u003e\n\u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"1\"\u003e\n    \u003ch3\u003eShipping list\u003c\/h3\u003e\n    \u003cul\u003e\n      \u003cli\u003eMain unit × 1\u003c\/li\u003e\n      \u003cli\u003ePower adapter \/ cable (region plug on request) × 1\u003c\/li\u003e\n      \u003cli\u003eAccessories vary by configuration — contact us for the exact included list.\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"2\"\u003e\n    \u003cdiv class=\"fx-specs\"\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eServer form\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1U rack-mounted computing power server\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eNumber of nodes\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e10 distributed computing nodes (up to 80 ARM cores) + 1 control node\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eCompute nodes\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eHexa-core 64-bit processor NVIDIA Jetson OrinNano, main frequency up to 1.7GHz\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eControl nodes\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eOcta-core 64-bit processor RK3588, main frequency up to 2.4GHz, the highest computing power is 6TOPS\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAi computing power\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e670 TOPS (INT8)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eFan module\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e6 high-speed cooling fans\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eInstallation requirements\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eIEC 297 Universal Cabinet Installation: 19 inches wide and 800 mm deep and above\nRetractable slideway installation: The distance between the front and rear holes of the cabinet is 543.5mm~848.5mm\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eBmc\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eThe BMC management system is integrated with the web-based management interface, supporting Redfish, VNC, NTP, monitoring advanced and virtual media, and the BMC management system can be redeveloped.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eLarge model\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eRobot model: The ROS robot model is supported.\nLarge language models: Support Ollama local large model deployment framework, which can be used for natural language processing, code generation, and assistance scenarios. Support the private deployment of ultra-large-scale parametric models under the Transformer architecture, such as LLaMa3 and Phi-3 Mini.\nLarge visual models: Support the privatization deployment of large visual models such as EfficientVIT, NanoOWL, NanoSAM, SAM, and TAM.\nAI Painting: Support ComfyUI graphical deployment framework, which can be used for scenarios such as image restoration, image style conversion, and image synthesis. Supports the private deployment of Flux, Stable Diffusion, and Stable Diffusion XL image generation model in the AIGC field.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eDeep learning\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eSupports multiple deep learning frameworks accelerated by cuDNN, including PaddlePaddle, PyTorch, TensorFlow, MATLAB, MxNet, Caffe2, Chainer, and Keras.\nSupports custom operator development.\nDocker containerization: Docker containerization technology is supported, which can be easily used for image deployment.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eConsole\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 × Console (RJ45, BMC debug serial port, baud rate 115200)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eRam\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e8GB LPDDR5 × 10 (Number of compute nodes)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eStorage\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e256GB (2242 PCIe NVMe SSD, the server is internally assembled)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eStorage expansion\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e3.5-inch\/2.5-inch SATA3.0\/SSD hard drive slot × 1 (BMC can directly operate the hard drive, and computing child nodes can indirectly access the hard drive through the network sharing method provided by BMC)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e550W AC power supply (Input: 90V AC~264V AC, 47 Hz~63 Hz, 8A) (Hot swappable not supported)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eDisplay\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 × VGA (maximum resolution 1080P, BMC management display)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eEnvironment\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eOperating Temperature: 0ºC ~ 45ºC\nStorage Temperature: -40ºC ~ 60ºC\nOperating Humidity: 5% ~ 90%RH(non-condensing)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eInternet\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e2 × 10G Ethernet (SFP+)\n2 × Gigabit Ethernet (RJ45)\n1 × Gigabit Ethernet (RJ45, MGNT is used as BMC management network)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eUsb\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e2 × USB3.0 (The lower USB is USB3.0 OTG, and the BMC can be upgraded OTG by using a USB flash drive)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eButton\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 × Reset, 1 × UID, 1 × Power button\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eProduct tutorials\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eSdk software and firmware files\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"3\"\u003e\n        \u003cdiv class=\"fx-docs\"\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct tutorials\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct datasheet\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eSDK software and firmware files\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eDocument links will be replaced with the official Firefly resource URLs on request.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"4\"\u003e\n        \u003cp\u003e\u003cb\u003eOur cooperating carriers:\u003c\/b\u003e FedEx, DHL, UPS, SF Express\u003c\/p\u003e\n    \u003ch3\u003eDelivery Area And Cost\u003c\/h3\u003e\n    \u003cdiv class=\"fx-scroll\"\u003e\n      \u003ctable class=\"fx-table\"\u003e\n        \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eCountry\/Region\u003c\/th\u003e\n\u003cth\u003e0–2kg\u003c\/th\u003e\n\u003cth\u003e2–3kg\u003c\/th\u003e\n\u003cth\u003e3–4kg\u003c\/th\u003e\n\u003cth\u003e4–5kg\u003c\/th\u003e\n\u003cth\u003e5–6kg\u003c\/th\u003e\n\u003cth\u003e6–7kg\u003c\/th\u003e\n\u003cth\u003e7–8kg\u003c\/th\u003e\n\u003cth\u003e8–9kg\u003c\/th\u003e\n\u003cth\u003e9–10kg\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n        \u003ctbody\u003e\n          \u003ctr\u003e\n\u003ctd\u003eJapan, Taiwan, Hong Kong, Macau\u003c\/td\u003e\n\u003ctd\u003e$15\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSingapore, Thailand, Malaysia\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eIndonesia, Philippines\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003ctd\u003e$70\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSouth Korea\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eUnited States, Australia, New Zealand, Canada, UK, and most of Western Europe\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$75\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$105\u003c\/td\u003e\n\u003ctd\u003e$115\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eOther regions (Eastern Europe, Middle East, Latin America, etc.)\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$110\u003c\/td\u003e\n\u003ctd\u003e$125\u003c\/td\u003e\n\u003ctd\u003e$135\u003c\/td\u003e\n\u003ctd\u003e$150\u003c\/td\u003e\n\u003ctd\u003e$165\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003c\/tbody\u003e\n      \u003c\/table\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eShipping time is for reference only; the actual situation shall prevail.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"5\"\u003e\n    Why Buy From Ai-Paipai?\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eAuthorized \u0026amp; Genuine\u003c\/b\u003e — sourced directly from brand-approved channels.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLocal Engineering Support\u003c\/b\u003e — datasheets, SDKs, and pre-flashed images in English and Chinese.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOEM \/ ODM \u0026amp; FPGA Customization\u003c\/b\u003e — tailor specs, enclosures, and BSP for your project.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOne-Stop Sourcing\u003c\/b\u003e — Firefly + youyeetoo + our own FPGA \/ edge lineup in one store.\u003c\/li\u003e\n\u003c\/ul\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cstyle\u003e\n  .fx-tabs{margin:24px 0;border:1px solid #e5e7eb;border-radius:10px;overflow:hidden;background:#fff}\n  .fx-tablist{display:flex;flex-wrap:wrap;gap:0;border-bottom:1px solid #e5e7eb;background:#f8fafc}\n  .fx-tab{flex:1 1 auto;min-width:120px;padding:14px 16px;border:0;background:transparent;cursor:pointer;font:600 14px\/1.3 inherit;color:#475569;border-bottom:3px solid transparent;transition:.18s}\n  .fx-tab:hover{color:#0f172a;background:#eef2f7}\n  .fx-tab.is-active{color:#0f172a;border-bottom-color:#2563eb;background:#fff}\n  .fx-panel{display:none;padding:22px 24px}\n  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.fx-table{border-collapse:collapse;width:100%;min-width:760px;font-size:13px}\n  .fx-table th,.fx-table td{border:1px solid #e5e7eb;padding:8px 10px;text-align:left}\n  .fx-table th{background:#f8fafc;font-weight:700}\n  .fx-note{color:#64748b;font-size:13px;margin-top:12px}\n  @media (max-width:749px){.fx-spec{grid-template-columns:1fr;gap:4px}.fx-tab{min-width:50%;flex:1 1 50%}.fx-panel{padding:16px}}\n\u003c\/style\u003e\n\n\u003cscript\u003e\n  (function () {\n    var roots = document.querySelectorAll('[data-fx-tabs]');\n    roots.forEach(function (root) {\n      var tabs = root.querySelectorAll('[data-fx-tab]');\n      var panels = root.querySelectorAll('[data-fx-panel]');\n      tabs.forEach(function (t) {\n        t.addEventListener('click', function () {\n          var i = t.getAttribute('data-fx-tab');\n          tabs.forEach(function (x) { x.classList.toggle('is-active', x === t); });\n          panels.forEach(function (p) { p.classList.toggle('is-active', p.getAttribute('data-fx-panel') === i); });\n        });\n      });\n    });\n  })();\n\u003c\/script\u003e","brand":"Firefly","offers":[{"title":"8G RAM+128G ROM \/ 10 computing nodes","offer_id":48422540706050,"sku":"firefly-csb1-n10norinnano-computing-power-server-400t-large-model-privatization-deployment-bmc-nvidia-41728142999636","price":9629.0,"currency_code":"USD","in_stock":true},{"title":"8G RAM+256G ROM \/ 10 computing nodes","offer_id":48422540738818,"sku":"firefly-csb1-n10norinnano-computing-power-server-400t-large-model-privatization-deployment-bmc-nvidia-45300429389908","price":10089.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0837\/5953\/0242\/files\/800800-1_6946d828-1e34-4bfa-a8b1-b513b7796aa7.jpg?v=1788244376"},{"product_id":"ec-orinnano-67tops-computing-power-ai-edge-computing-host-jetson-module-nvidia-nvidia","title":"EC-OrinNano Jetson Orin Nano Edge AI Fanless PC","description":"\u003cp class=\"geo-summary\" style=\"font-size:1rem;line-height:1.65;margin:0 0 1.25rem;padding:0 0 1rem;border-bottom:1px solid #e5e7eb;color:#1f2937\"\u003e\u003cstrong\u003eEC-OrinNano Jetson Orin Nano Edge AI Fanless PC\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Cpu: Hexa-core 64-bit ARM Cortex-A78AE v8.2 processor, up to… · Ai performance: 67 TOPS · Storage: 1 x M.2 (internal device, PCIe NVMe SSD expansion… · Network: Ethernet: 1 x Gigabit Ethernet (RJ45) WiFi: WiFi 6 \/ BT… · Display: 1 x HDMI2.0 (4K@60fps). Typical applications: edge AI inference, machine vision and IoT gateway deployments. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK \/ OS images, OEM \/ ODM customization, and worldwide shipping.\u003c\/p\u003e \u003c!-- Firefly product tabs --\u003e \u003cdiv class=\"fx-tabs\" data-fx-tabs\u003e \u003cdiv class=\"fx-tablist\" role=\"tablist\"\u003e \u003cbutton class=\"fx-tab is-active\" role=\"tab\" data-fx-tab=\"0\"\u003eDescription\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"1\"\u003eWhat's Included\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"2\"\u003eSpecifications\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"3\"\u003eDocuments\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"4\"\u003eShipping Information\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"5\"\u003eWhy Buy From Ai-Paipai?\u003c\/button\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel is-active\" data-fx-panel=\"0\"\u003e \u003cdiv style=\"border:2px solid #2b6cb0;background:#f0f7ff;padding:14px 18px;margin:0 0 18px;border-radius:8px;\"\u003e \u003ch3 style=\"margin:0 0 6px;color:#2b6cb0;\"\u003e✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)\u003c\/h3\u003e \u003cp style=\"margin:0;font-size:14px;\"\u003eThis product is supplied by an \u003cb\u003eauthorized distributor\u003c\/b\u003e of the original brand.\nWe provide \u003cb\u003elocal technical support, pre-installed SDK \/ mirror images, and OEM \/ ODM customization\u003c\/b\u003e, plus fast global shipping.\u003c\/p\u003e \u003c\/div\u003e \u003cp\u003eEC-OrinNano is equipped with the NVIDIA Jetson Orin Nano core module, which provides up to 67 TOPS of computing power. It can realize the private deployment of current mainstream AI models, support larger and more complex deep neural networks, and has visual development functions such as object recognition, target detection and tracking, and speech recognition to meet the needs of a wider range of artificial intelligence application scenarios.\u003c\/p\u003e \u003cul\u003e \u003cli\u003e\u003cstrong\u003eProduct Datasheet: \u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/EC-OrinNano_EC-OrinNX_Specification_EN.pdf?v=1749540358\"\u003eClick Here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e \u003cli\u003e\u003cstrong\u003eProduct Wiki: \u003ca href=\"https:\/\/wiki.t-firefly.com\/en\/EC-Orin-Nano\/preface.html\"\u003eClick Here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e \u003c\/ul\u003e \u003cdiv style=\"position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; background: #000;\"\u003e\u003cvideo poster=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/9_5.jpg?v=1760148022\" style=\"position: absolute; top: 0; left: 0; width: 100%; height: 100%;\" playsinline=\"\" controls=\"controls\"\u003e \u003csource src=\"https:\/\/cdn.shopify.com\/videos\/c\/o\/v\/88cbe6c335ad49d394e6de705916f145.mp4\"\u003e\u003c\/video\u003e\u003c\/div\u003e \u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e \u003cstrong\u003e67 TOPS Edge Computing Power: \u003c\/strong\u003eWith a computing power of up to 67 TOPS, it can run all current AI models, including Transformer and ROS models. It supports building larger and more complex deep neural networks using frameworks such as TensorFlow, OpenCV, JetPack, MXNet, and PyTorch. The computer has object recognition, target detection and tracking, speech recognition, and other visual development capabilities, making it suitable for a wide range of AI application scenarios.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eHigh-performance Edge Computing Module: \u003c\/strong\u003eThe NVIDIA Jetson Orin Nano edge computing module is equipped with a six-core ARM CPU and a 1024-core NVIDIA Ampere architecture GPU (including 32 Tensor Cores), which can run multiple AI application pipelines simultaneously to improve AI performance.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eFull-Scale Model Private Deployment: \u003c\/strong\u003eIt supports private deployment of modern mainstream AI models, including large language models such as LLaMA, ChatGLM, and Qwen, basic visual models such as ViT, Grounding DINO, and SAM, and AIGC models such as Stable Diffusion V1.5 for image generation.\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e \u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eSupports Up to 4K Video Decoding: \u003c\/strong\u003eIt can decode 11 channels of 1080p30 videos and supports: 1 x 4K60, 2 x 4K30, 5 x 1080p60. It meets the needs of various AI-driven visual applications.\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eAluminum Alloy Enclosure with Passive Heat Dissipation:\u003c\/strong\u003e The device adopts industrial-grade aluminum alloy housing and has efficient fanless passive heat dissipation function, ensuring stable operation around the clock and meeting various industrial application requirements. Its space-saving design supports wall-mounting and can be flexibly installed on walls or industrial automation equipment.\u003cbr\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eApplications\u003c\/strong\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e \u003cstrong\u003eEdge Generative AI: \u003c\/strong\u003eThe NVIDIA Jetson Orin series provides powerful AI computing capabilities, large unified memory, and a comprehensive software stack to execute the latest generative AI applications with ultra-efficiency. It can quickly infer any Transformer-based generative AI model and achieve excellent edge performance in MLPerf benchmarks.\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eAI Software Stack and Ecosystem: \u003c\/strong\u003eDemocratize edge AI and robotics development with a complete AI software stack and ecosystem, powered by Edge-Generated AI, NVIDIA Metropolis, and the Isaac platform. NVIDIA JetPack, Isaac ROS, and reference AI workflows enable you to integrate advanced technologies into your products without relying on expensive in-house AI resources.\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e \u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eWide Range of Applications: \u003c\/strong\u003eApplicable to industries such as edge computing, robotics, large-scale model positioning, smart cities, smart medical care, and smart industrial applications.\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eHardware Overview\u003c\/strong\u003e\u003c\/h2\u003e \u003cp style=\"font-weight: bold;\"\u003e\u003cstrong\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/ec-orin_inter.webp?v=1750058577\" alt=\"\"\u003e\u003c\/strong\u003e\u003c\/p\u003e \u003chr\u003e \u003ch2\u003e \u003c\/h2\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"1\"\u003e \u003ch3\u003eShipping list\u003c\/h3\u003e \u003cul\u003e \u003cli\u003eMain unit × 1\u003c\/li\u003e \u003cli\u003ePower adapter \/ cable (region plug on request) × 1\u003c\/li\u003e \u003cli\u003eAccessories vary by configuration — contact us for the exact included list.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"2\"\u003e \u003cdiv class=\"fx-specs\"\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eShipping list\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eEC-OrinNano*1\nPower Adapter (12V4A, EU\/US\/UK\/AU) * 1\nType-C 2.0 USB Cable*1\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAi performance\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e67 TOPS\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eCpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eHexa-core 64-bit ARM Cortex-A78AE v8.2 processor, up to 1.7GHz\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eGpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eStorage\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 x M.2 (internal device, PCIe NVMe SSD expansion available, supporting 2242\/2260\/2280)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eDC 12V (5.5 mm x 2.1 mm, 9-24V wide input voltage)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eDisplay\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 x HDMI2.0 (4K@60fps)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAudio\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 x 3.5mm audio jack, supporting MIC recording, CTIA standard\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOs\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eBased on Ubuntu 22.04, the Jetson system offers a comprehensive desktop Linux environment with accelerated graphics, supporting libraries such as NVIDIA CUDA 11.4.19, TensorRT 8.5.2, and CuDNN 8.6.0.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eSoftware support\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eRobotic models: ROS models\nLarge language models: The private deployment of ultra-large-scale parameter models under the Transformer architecture, such as LLaMa2, ChatGLM, and Qwen.\nVision models: ViT, Grounding DINO, and SAM.\nAI painting: Stable Diffusion V1.5 image generation model in the AIGC field.\nTraditional network architectures: Traditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks include TensorFlow, PyTorch, MXNet, ONNX, PaddlePaddle, and Darknet; custom operator development\nDocker containerization: Docker container management technology, facilitates easy image deployment.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eDimension\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e188 mm x 88.44 mm x 50.65mm\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eEnvironment\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eOperating temperature: -20℃~60℃ \nOperating humidity: 10%~90%RH (non-condensing)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eNetwork\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eEthernet: 1 x Gigabit Ethernet (RJ45) WiFi: WiFi 6 \/ BT 5.2 modules expansion available via the M.2 interface\n4G: 4G LTE expansion available via the Mini PCIe\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOther\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 x Type-C (USB 2.0\/DEBUG)\n1 x SIM card\n1 x Phoenix connector (2*4Pin, 3.5mm pitch): 1 x RS485, 1 x RS232, 1 x CAN 2.0\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eProduct tutorials\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eProduct datasheet\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eSdk software and firmware files\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"3\"\u003e \u003cdiv class=\"fx-docs\"\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eProduct tutorials\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eProduct datasheet\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eSDK software and firmware files\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cp class=\"fx-note\"\u003eDocument links will be replaced with the official Firefly resource URLs on request.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"4\"\u003e \u003cp\u003e\u003cb\u003eOur cooperating carriers:\u003c\/b\u003e FedEx, DHL, UPS, SF Express\u003c\/p\u003e \u003ch3\u003eDelivery Area And Cost\u003c\/h3\u003e \u003cdiv class=\"fx-scroll\"\u003e \u003ctable class=\"fx-table\"\u003e \u003cthead\u003e\u003ctr\u003e \u003cth\u003eCountry\/Region\u003c\/th\u003e \u003cth\u003e0–2kg\u003c\/th\u003e \u003cth\u003e2–3kg\u003c\/th\u003e \u003cth\u003e3–4kg\u003c\/th\u003e \u003cth\u003e4–5kg\u003c\/th\u003e \u003cth\u003e5–6kg\u003c\/th\u003e \u003cth\u003e6–7kg\u003c\/th\u003e \u003cth\u003e7–8kg\u003c\/th\u003e \u003cth\u003e8–9kg\u003c\/th\u003e \u003cth\u003e9–10kg\u003c\/th\u003e \u003c\/tr\u003e\u003c\/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd\u003eJapan, Taiwan, Hong Kong, Macau\u003c\/td\u003e \u003ctd\u003e$15\u003c\/td\u003e \u003ctd\u003e$20\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSingapore, Thailand, Malaysia\u003c\/td\u003e \u003ctd\u003e$20\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$60\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eIndonesia, Philippines\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$60\u003c\/td\u003e \u003ctd\u003e$70\u003c\/td\u003e \u003ctd\u003e$80\u003c\/td\u003e \u003ctd\u003e$85\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSouth Korea\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eUnited States, Australia, New Zealand, Canada, UK, and most of Western Europe\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$75\u003c\/td\u003e \u003ctd\u003e$85\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003ctd\u003e$105\u003c\/td\u003e \u003ctd\u003e$115\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOther regions (Eastern Europe, Middle East, Latin America, etc.)\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$80\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003ctd\u003e$110\u003c\/td\u003e \u003ctd\u003e$125\u003c\/td\u003e \u003ctd\u003e$135\u003c\/td\u003e \u003ctd\u003e$150\u003c\/td\u003e \u003ctd\u003e$165\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e \u003c\/table\u003e \u003c\/div\u003e \u003cp class=\"fx-note\"\u003eShipping time is for reference only; the actual situation shall prevail.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"5\"\u003e\n Why Buy From Ai-Paipai? \u003cul\u003e \u003cli\u003e \u003cb\u003eAuthorized \u0026amp; Genuine\u003c\/b\u003e — sourced directly from brand-approved channels.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eLocal Engineering Support\u003c\/b\u003e — datasheets, SDKs, and pre-flashed images in English and Chinese.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eOEM \/ ODM \u0026amp; FPGA Customization\u003c\/b\u003e — tailor specs, enclosures, and BSP for your project.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eOne-Stop Sourcing\u003c\/b\u003e — Firefly + youyeetoo + our own FPGA \/ edge lineup in one store.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cstyle\u003e.fx-tabs{margin:24px 0;border:1px solid #e5e7eb;border-radius:10px;overflow:hidden;background:#fff}.fx-tablist{display:flex;flex-wrap:wrap;gap:0;border-bottom:1px solid #e5e7eb;background:#f8fafc}.fx-tab{flex:1 1 auto;min-width:120px;padding:14px 16px;border:0;background:transparent;cursor:pointer;font:600 14px\/1.3 inherit;color:#475569;border-bottom:3px solid transparent;transition:.18s}.fx-tab:hover{color:#0f172a;background:#eef2f7}.fx-tab.is-active{color:#0f172a;border-bottom-color:#2563eb;background:#fff}.fx-panel{display:none;padding:22px 24px}.fx-panel.is-active{display:block}.fx-panel h3{font-size:16px;margin:22px 0 8px;font-weight:700}.fx-panel h3:first-child{margin-top:0}.fx-panel p{margin:10px 0;line-height:1.65}.fx-panel ul{margin:10px 0;padding-left:22px}.fx-panel li{margin:6px 0;line-height:1.6}.fx-auth{background:#f0fdf4;border:1px solid #bbf7d0;border-radius:8px;padding:12px 14px;margin:0 0 16px;font-size:14px;line-height:1.6}.fx-specs{border-top:1px solid #eef2f7}.fx-spec{display:grid;grid-template-columns:230px 1fr;gap:16px;padding:12px 4px;border-bottom:1px solid #eef2f7}.fx-k{font-weight:700;color:#334155}.fx-v{color:#475569}.fx-docs{display:flex;flex-direction:column;gap:10px}.fx-doc{display:flex;justify-content:space-between;align-items:center;gap:12px;padding:12px 14px;border:1px solid #e5e7eb;border-radius:8px}.fx-doc a{color:#2563eb;font-weight:700;text-decoration:none}.fx-doc a:hover{text-decoration:underline}.fx-scroll{overflow-x:auto}.fx-table{border-collapse:collapse;width:100%;min-width:760px;font-size:13px}.fx-table th,.fx-table td{border:1px solid #e5e7eb;padding:8px 10px;text-align:left}.fx-table th{background:#f8fafc;font-weight:700}.fx-note{color:#64748b;font-size:13px;margin-top:12px}\n @media (max-width:749px){.fx-spec{grid-template-columns:1fr;gap:4px}.fx-tab{min-width:50%;flex:1 1 50%}.fx-panel{padding:16px}} \u003c\/style\u003e \u003cscript\u003e\n (function () {\n var roots = document.querySelectorAll('[data-fx-tabs]');\n roots.forEach(function (root) {\n var tabs = root.querySelectorAll('[data-fx-tab]');\n var panels = root.querySelectorAll('[data-fx-panel]');\n tabs.forEach(function (t) {\n t.addEventListener('click', function () {\n var i = t.getAttribute('data-fx-tab');\n tabs.forEach(function (x) { x.classList.toggle('is-active', x === t); });\n panels.forEach(function (p) { p.classList.toggle('is-active', p.getAttribute('data-fx-panel') === i); });\n });\n });\n });\n })(); \u003c\/script\u003e","brand":"Firefly","offers":[{"title":"8G RAM+128G SSD without WiFi","offer_id":48422475530498,"sku":"firefly-ec-orinnano-67tops-computing-power-ai-edge-computing-host-jetson-module-nvidia-nvidia-42073383600212","price":739.0,"currency_code":"USD","in_stock":true},{"title":"8G RAM+128G SSD with WiFi","offer_id":48422475563266,"sku":"firefly-ec-orinnano-67tops-computing-power-ai-edge-computing-host-jetson-module-nvidia-nvidia-41695706251348","price":759.0,"currency_code":"USD","in_stock":true},{"title":"8G RAM+256G SSD without WiFi","offer_id":48422475596034,"sku":"firefly-ec-orinnano-67tops-computing-power-ai-edge-computing-host-jetson-module-nvidia-nvidia-45300287602772","price":849.0,"currency_code":"USD","in_stock":true},{"title":"8G RAM+256G SSD with WiFi","offer_id":48422475628802,"sku":"firefly-ec-orinnano-67tops-computing-power-ai-edge-computing-host-jetson-module-nvidia-nvidia-45300287635540","price":859.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0837\/5953\/0242\/files\/EC-OrinNano_-800800-1_2_a3330219-8f3d-41c7-a1bf-4d9a3927252a.jpg?v=1788244376"},{"product_id":"aio-gsn1-jetson-orin-rk3576-dual-module-motherboard","title":"AIO-GS1N2 Jetson Orin RK3576 Dual Module Gateway Motherboard","description":"\u003cp class=\"geo-summary\" style=\"font-size:1rem;line-height:1.65;margin:0 0 1.25rem;padding:0 0 1rem;border-bottom:1px solid #e5e7eb;color:#1f2937\"\u003e\u003cstrong\u003eAIO-GS1N2 Jetson Orin RK3576 Dual Module Gateway Motherboard\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Soc: Core-3576JD4 RAM: LPDDR4\/LPDDR4x (4\/8\/16GB) Storage:… · Storage expansion: 3 × SATA3.0 (Multiplexed with PCIe, expandable with 3.5\"… · Video output: 1 × VGA (Maximum resolution 1080P), 1 × HDMI2.0 (Default… · Os: Linux · Power: DC 24V\/5A (5.5 × 2.1mm) 280W AC power supply (Input:…. Typical applications: edge AI inference, IoT gateway deployments and industrial automation. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK \/ OS images, OEM \/ ODM customization, and worldwide shipping.\u003c\/p\u003e \u003c!-- Firefly product tabs --\u003e \u003cdiv class=\"fx-tabs\" data-fx-tabs\u003e \u003cdiv class=\"fx-tablist\" role=\"tablist\"\u003e \u003cbutton class=\"fx-tab is-active\" role=\"tab\" data-fx-tab=\"0\"\u003eDescription\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"1\"\u003eWhat's Included\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"2\"\u003eSpecifications\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"3\"\u003eDocuments\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"4\"\u003eShipping Information\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"5\"\u003eWhy Buy From Ai-Paipai?\u003c\/button\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel is-active\" data-fx-panel=\"0\"\u003e \u003cdiv style=\"border:2px solid #2b6cb0;background:#f0f7ff;padding:14px 18px;margin:0 0 18px;border-radius:8px;\"\u003e \u003ch3 style=\"margin:0 0 6px;color:#2b6cb0;\"\u003e✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)\u003c\/h3\u003e \u003cp style=\"margin:0;font-size:14px;\"\u003eThis product is supplied by an \u003cb\u003eauthorized distributor\u003c\/b\u003e of the original brand.\nWe provide \u003cb\u003elocal technical support, pre-installed SDK \/ mirror images, and OEM \/ ODM customization\u003c\/b\u003e, plus fast global shipping.\u003c\/p\u003e \u003c\/div\u003e \u003cp\u003eAIO-GS1N2 adopts a dual-core heterogeneous architecture, with two system on modules running in parallel: RK3576 for general computing and Jetson Orin for real-time AI reasoning. By utilizing heterogeneous computing and integrating the advantages of different chips, it provides high-performance and multi-functional processing capabilities for complex scenarios. This design optimizes resource allocation, supports parallel task execution, and significantly improves system efficiency.\u003c\/p\u003e \u003cul\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eProduct Datasheet: \u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/AIO-GS1N2_Specifications_EN.pdf?v=1749722675\"\u003eClick \u003c\/a\u003e\u003ca href=\"https:\/\/download.t-firefly.com\/Spec\/Mainboards\/AIO-GS1N2_Specifications_EN.pdf\" target=\"_blank\" rel=\"noopener\"\u003eH\u003c\/a\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/AIO-GS1N2_Specifications_EN.pdf?v=1749722675\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/download.t-firefly.com\/Spec\/Mainboards\/AIO-GS1N2_Specifications_EN.pdf\" rel=\"noopener\" target=\"_blank\"\u003ee\u003c\/a\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/AIO-GS1N2_Specifications_EN.pdf?v=1749722675\"\u003ere\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e \u003cstrong\u003eUp to 157 TOPS Computing Power: \u003c\/strong\u003eIt supports 6-157 TOPS computing power and has the capabilities of edge computing, real-time decision-making, AI smart gateway, large-scale data forwarding processing, complex network protocols and security computing, and visual development. It is suitable for various AI application scenarios such as edge AI servers, smart gateways, industrial automation, robot control, medical equipment, and in-vehicle multimedia terminals.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eSupports 8K Video Codec: \u003c\/strong\u003eSupports 8K@60fps H.265 encoding\/decoding, providing clearer and smoother video transmission over standard networks while reducing storage requirements. Strong compression efficiency makes it ideal for security surveillance, industrial IoT monitoring and other bandwidth-sensitive applications.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eOnboard SATA 3.0 \/ M.2 PCIe Interfaces:\u003c\/strong\u003e Onboard SATA 3.0 and M.2 PCIe interfaces support storage expansion with 3.5\"\/2.5\" SSDs\/HDDs and PCIe NVMe SSDs, delivering terabyte-scale capacity.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003e10 Gigabit Ethernet Ports with PSE Support: \u003c\/strong\u003eThis configuration features a 10 Gigabit Ethernet interface with Power Sourcing Equipment (PSE) functionality, providing strong compatibility to connect major brands of network cameras that comply with ONVIF and RTSP standards.\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eApplications\u003c\/strong\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003eEnterprise Security\u003c\/li\u003e \u003cli\u003eTraffic Management\u003c\/li\u003e \u003cli\u003ePublic Safety\u003c\/li\u003e \u003cli\u003eEnvironmental Protection\u003c\/li\u003e \u003cli\u003eSmart Cities\u003c\/li\u003e \u003cli\u003eHome Security\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eHardware Overview\u003c\/strong\u003e\u003c\/h2\u003e \u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/face_en123.webp?v=1749721305\"\u003e\u003c\/p\u003e \u003chr\u003e \u003ch2\u003e \u003c\/h2\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"1\"\u003e \u003ch3\u003eShipping list\u003c\/h3\u003e \u003cul\u003e \u003cli\u003eMain unit × 1\u003c\/li\u003e \u003cli\u003ePower adapter \/ cable (region plug on request) × 1\u003c\/li\u003e \u003cli\u003eAccessories vary by configuration — contact us for the exact included list.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"2\"\u003e \u003cdiv class=\"fx-specs\"\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eSoc\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eCore-3576JD4\nRAM: LPDDR4\/LPDDR4x (4\/8\/16GB)\nStorage: eMMC (128\/256GB)\nVideo Decoding: 8K@30fps H.265\/VP9\/AVS2\/AV1, \n 4K@120fps H.265\/VP9\/AVS2\/AV1, 4K@60fps H.264\/AVC\nVideo Encoding: 4K@60fps H.265\/H.264\nAI Performance: 6T\nJetson Orin Nano\nRAM: LPDDR5 (8GB)\nStorage: None\nVideo Decoding: 1×4K@60fps, 2×4K@30fps, 5×1080p@60fps H.265 H.264\/AVC\nVideo Encoding: 1080p@30fps H.265\nAI Performance: 67T\nJetson Orin NX\nRAM: LPDDR5 (16GB)\nStorage: None\nVideo Decoding: 1×8K@30fps, 2×4K@60fps, 9×1080p@60fps H.265\nVideo Encoding: 1×4K@60fps, 3×4K@30fps, 6×1080p@60fps H.265\nAI Performance: 157T\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eStorage expansion\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e3 × SATA3.0 (Multiplexed with PCIe, expandable with 3.5\" or 2.5\" SSD\/HDD, SATA2 is only available when the main mod is Core-3588JD4)\n2 × M.2 M-KEY (Multiplexed with SATA3.0, expandable PCIe NVMe 2280 SSD)\n* M.2 PCIe and SATA are multiplexed, please refer to page 6 of the datasheet for specific functions\n2 × M.2 M-KEY (Expandable PCIe 2280 SSD, this M.2 M-KEY port is only available when the sub mod is optional)\n1 × TF Card\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eDC 24V\/5A (5.5 × 2.1mm)\n280W AC power supply (Input: 100V AC~240V AC, 50Hz ~ 60Hz, 6A; Output 1: 12V DC, 5A; Output 2: 52V DC, 4.6A; Does notsupport hot-swapping)\n1 × 12V ATX (6Pin-4.2mm)\n4) 1 × 48V ATX (4Pin-4.2mm)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eVideo output\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × VGA (Maximum resolution 1080P), 1 × HDMI2.0 (Default support for 1080P)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAudio\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × Audio input, 1 × Audio output\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOs\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eLinux\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eDimension\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e231.27mm × 164.13mm × 33.57mm\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eWeight\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e≈350g\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eEnvironment\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eOperating Temperature: -20℃~60℃, Storage Temperature: -20℃~70℃, Storage Humidity: 10%~90%RH (non-condensing)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eInternet\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e8 × Gigabit Ethernet (RJ45, PSE is supported when powered by a 48V ATX)\n2 × LAN (RJ45\/1000Mbps, the upper LAN supports PSE when the 48V ATX is powered)\nSupport 2.4GHz\/5GHz dual-band WiFi (Extended via M.2 E-KEY, multiplexed with SATA3.0)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eButton\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × Power, 1 × MaskRom, 1 × Reset\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOther\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × RS485\u0026amp;IO (10Pin-1.25mm), 1 × SATA_PWR (4Pin-3.96mm), 1 × UART (10Pin-1.25mm), 2 × FAN (4Pin-1.25mm), 1 × SYS_FAN (4Pin-2.54mm), 1 × Debug (3Pin-2mm)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eProduct datasheet\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"3\"\u003e \u003cdiv class=\"fx-docs\"\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eProduct tutorials\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eProduct datasheet\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eSDK software and firmware files\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cp class=\"fx-note\"\u003eDocument links will be replaced with the official Firefly resource URLs on request.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"4\"\u003e \u003cp\u003e\u003cb\u003eOur cooperating carriers:\u003c\/b\u003e FedEx, DHL, UPS, SF Express\u003c\/p\u003e \u003ch3\u003eDelivery Area And Cost\u003c\/h3\u003e \u003cdiv class=\"fx-scroll\"\u003e \u003ctable class=\"fx-table\"\u003e \u003cthead\u003e\u003ctr\u003e \u003cth\u003eCountry\/Region\u003c\/th\u003e \u003cth\u003e0–2kg\u003c\/th\u003e \u003cth\u003e2–3kg\u003c\/th\u003e \u003cth\u003e3–4kg\u003c\/th\u003e \u003cth\u003e4–5kg\u003c\/th\u003e \u003cth\u003e5–6kg\u003c\/th\u003e \u003cth\u003e6–7kg\u003c\/th\u003e \u003cth\u003e7–8kg\u003c\/th\u003e \u003cth\u003e8–9kg\u003c\/th\u003e \u003cth\u003e9–10kg\u003c\/th\u003e \u003c\/tr\u003e\u003c\/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd\u003eJapan, Taiwan, Hong Kong, Macau\u003c\/td\u003e \u003ctd\u003e$15\u003c\/td\u003e \u003ctd\u003e$20\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSingapore, Thailand, Malaysia\u003c\/td\u003e \u003ctd\u003e$20\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$60\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eIndonesia, Philippines\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$60\u003c\/td\u003e \u003ctd\u003e$70\u003c\/td\u003e \u003ctd\u003e$80\u003c\/td\u003e \u003ctd\u003e$85\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSouth Korea\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eUnited States, Australia, New Zealand, Canada, UK, and most of Western Europe\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$75\u003c\/td\u003e \u003ctd\u003e$85\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003ctd\u003e$105\u003c\/td\u003e \u003ctd\u003e$115\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOther regions (Eastern Europe, Middle East, Latin America, etc.)\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$80\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003ctd\u003e$110\u003c\/td\u003e \u003ctd\u003e$125\u003c\/td\u003e \u003ctd\u003e$135\u003c\/td\u003e \u003ctd\u003e$150\u003c\/td\u003e \u003ctd\u003e$165\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e \u003c\/table\u003e \u003c\/div\u003e \u003cp class=\"fx-note\"\u003eShipping time is for reference only; the actual situation shall prevail.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"5\"\u003e\n Why Buy From Ai-Paipai? \u003cul\u003e \u003cli\u003e \u003cb\u003eAuthorized \u0026amp; Genuine\u003c\/b\u003e — sourced directly from brand-approved channels.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eLocal Engineering Support\u003c\/b\u003e — datasheets, SDKs, and pre-flashed images in English and Chinese.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eOEM \/ ODM \u0026amp; FPGA Customization\u003c\/b\u003e — tailor specs, enclosures, and BSP for your project.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eOne-Stop Sourcing\u003c\/b\u003e — Firefly + youyeetoo + our own FPGA \/ edge lineup in one store.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cstyle\u003e.fx-tabs{margin:24px 0;border:1px solid #e5e7eb;border-radius:10px;overflow:hidden;background:#fff}.fx-tablist{display:flex;flex-wrap:wrap;gap:0;border-bottom:1px solid #e5e7eb;background:#f8fafc}.fx-tab{flex:1 1 auto;min-width:120px;padding:14px 16px;border:0;background:transparent;cursor:pointer;font:600 14px\/1.3 inherit;color:#475569;border-bottom:3px solid transparent;transition:.18s}.fx-tab:hover{color:#0f172a;background:#eef2f7}.fx-tab.is-active{color:#0f172a;border-bottom-color:#2563eb;background:#fff}.fx-panel{display:none;padding:22px 24px}.fx-panel.is-active{display:block}.fx-panel h3{font-size:16px;margin:22px 0 8px;font-weight:700}.fx-panel h3:first-child{margin-top:0}.fx-panel p{margin:10px 0;line-height:1.65}.fx-panel ul{margin:10px 0;padding-left:22px}.fx-panel li{margin:6px 0;line-height:1.6}.fx-auth{background:#f0fdf4;border:1px solid #bbf7d0;border-radius:8px;padding:12px 14px;margin:0 0 16px;font-size:14px;line-height:1.6}.fx-specs{border-top:1px solid #eef2f7}.fx-spec{display:grid;grid-template-columns:230px 1fr;gap:16px;padding:12px 4px;border-bottom:1px solid #eef2f7}.fx-k{font-weight:700;color:#334155}.fx-v{color:#475569}.fx-docs{display:flex;flex-direction:column;gap:10px}.fx-doc{display:flex;justify-content:space-between;align-items:center;gap:12px;padding:12px 14px;border:1px solid #e5e7eb;border-radius:8px}.fx-doc a{color:#2563eb;font-weight:700;text-decoration:none}.fx-doc a:hover{text-decoration:underline}.fx-scroll{overflow-x:auto}.fx-table{border-collapse:collapse;width:100%;min-width:760px;font-size:13px}.fx-table th,.fx-table td{border:1px solid #e5e7eb;padding:8px 10px;text-align:left}.fx-table th{background:#f8fafc;font-weight:700}.fx-note{color:#64748b;font-size:13px;margin-top:12px}\n @media (max-width:749px){.fx-spec{grid-template-columns:1fr;gap:4px}.fx-tab{min-width:50%;flex:1 1 50%}.fx-panel{padding:16px}} \u003c\/style\u003e \u003cscript\u003e\n (function () {\n var roots = document.querySelectorAll('[data-fx-tabs]');\n roots.forEach(function (root) {\n var tabs = root.querySelectorAll('[data-fx-tab]');\n var panels = root.querySelectorAll('[data-fx-panel]');\n tabs.forEach(function (t) {\n t.addEventListener('click', function () {\n var i = t.getAttribute('data-fx-tab');\n tabs.forEach(function (x) { x.classList.toggle('is-active', x === t); });\n panels.forEach(function (p) { p.classList.toggle('is-active', p.getAttribute('data-fx-panel') === i); });\n });\n });\n });\n })(); \u003c\/script\u003e","brand":"Firefly","offers":[{"title":"Orin Nano 8G and RK3576 8G RAM + 64G ROM \/ With POE","offer_id":48422537134338,"sku":"firefly-aio-gsn1-jetson-orin-rk3576-dual-module-motherboard-42147106095188","price":1149.0,"currency_code":"USD","in_stock":true},{"title":"Orin Nano 8G and RK3576 8G RAM + 64G ROM \/ Without POE","offer_id":48422537167106,"sku":"firefly-aio-gsn1-jetson-orin-rk3576-dual-module-motherboard-42147106127956","price":1119.0,"currency_code":"USD","in_stock":true},{"title":"Orin NX 16G and RK3576 8G RAM + 64G ROM \/ With POE","offer_id":48422537199874,"sku":"firefly-aio-gsn1-jetson-orin-rk3576-dual-module-motherboard-42147106160724","price":2149.0,"currency_code":"USD","in_stock":true},{"title":"Orin NX 16G and RK3576 8G RAM + 64G ROM \/ Without POE","offer_id":48422537232642,"sku":"firefly-aio-gsn1-jetson-orin-rk3576-dual-module-motherboard-42147106193492","price":2119.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0837\/5953\/0242\/files\/AIO-GSN11.webp?v=1788244330"},{"product_id":"aibox-orinnx-157tops-ai-big-model-of-edge-computing-jetson-module-nvidia","title":"AIBOX-OrinNX Jetson Orin NX Embedded PC","description":"\u003cp class=\"geo-summary\" style=\"font-size:1rem;line-height:1.65;margin:0 0 1.25rem;padding:0 0 1rem;border-bottom:1px solid #e5e7eb;color:#1f2937\"\u003e\u003cstrong\u003eAIBOX-OrinNX Jetson Orin NX Embedded PC\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Cpu: Octa-core 64-bit Arm Cortex-A78AE v8.2 processor, up to… · Ai performance: 157 TOPS · Traditional network architectures: Traditional network architectures such as CNN, RNN, and… · Video output: 1 × HDMI 2.1 (4K@60fps) · Usb: 2× USB 3.0 (Max: 1A). Typical applications: edge AI inference, machine vision and industrial automation. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK \/ OS images, OEM \/ ODM customization, and worldwide shipping.\u003c\/p\u003e\n\u003c!-- Firefly product tabs --\u003e\n\u003cdiv class=\"fx-tabs\" data-fx-tabs\u003e\n  \u003cdiv class=\"fx-tablist\" role=\"tablist\"\u003e\n    \u003cbutton class=\"fx-tab is-active\" role=\"tab\" data-fx-tab=\"0\"\u003eDescription\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"1\"\u003eWhat's Included\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"2\"\u003eSpecifications\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"3\"\u003eDocuments\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"4\"\u003eShipping Information\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"5\"\u003eWhy Buy From Ai-Paipai?\u003c\/button\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel is-active\" data-fx-panel=\"0\"\u003e\n\u003c!-- ===== Firefly product tabs component ===== --\u003e\n\u003cdiv class=\"fx-tabs\" data-fx-tabs\u003e\n  \u003cdiv class=\"fx-tablist\" role=\"tablist\"\u003e\n    \u003cbutton class=\"fx-tab is-active\" role=\"tab\" data-fx-tab=\"0\"\u003eDescription\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"1\"\u003eWhat's Included\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"2\"\u003eSpecifications\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"3\"\u003eDocuments\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"4\"\u003eShipping Information\u003c\/button\u003e\n    \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"5\"\u003e\n  \u003c\/button\u003e\n\u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"1\"\u003e\n    \u003ch3\u003eShipping list\u003c\/h3\u003e\n    \u003cul\u003e\n      \u003cli\u003eMain unit × 1\u003c\/li\u003e\n      \u003cli\u003ePower adapter \/ cable (region plug on request) × 1\u003c\/li\u003e\n      \u003cli\u003eAccessories vary by configuration — contact us for the exact included list.\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"2\"\u003e\n    \u003cdiv class=\"fx-specs\"\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eShipping list\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eAIBOX-OrinNX * 1\nPower Adapter (12V4A, EU\/US\/UK\/AU) * 1\nType-C 2.0 USB Cable * 1\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAi performance\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e157 TOPS\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eTraditional network architectures\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eTraditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks include TensorFlow, PyTorch, MXNet, PaddlePaddle, ONNX, and Darknet; custom operator development.\nDocker container management technology facilitates easy image deployment.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAi software stack\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eNVIDIA Jetson Orin offers unparalleled AI computing, large unified memory, and comprehensive software stacks, delivering superior energy efficiency to drive the latest generative AI applications. It’s capable of fast inference for any generative AI models powered by the transformer architecture, providing superior edge performance on MLPerf.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eLarge model\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eRobotic models: ROS models\nLarge language models: The private deployment of ultra-large-scale parameter models under the Transformer architecture, such as LLaMa2, ChatGLM, and Qwen.\nVision models: ViT, Grounding DINO, and SAM.\nAI painting: Stable Diffusion V1.5 image generation model in the AIGC field.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eCpu\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eOcta-core 64-bit Arm Cortex-A78AE v8.2 processor, up to 2.0GHz\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eGpu\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eDC 12V (DC 5.5 * 2.1mm)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003ePower consumption\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eNormal: 7.2W (12V\/600mA)\nMax: 33.6W (12V\/2800mA)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eVideo output\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 × HDMI 2.1 (4K@60fps)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eOs\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eThe Jetson system, based on Ubuntu 22.04, offers a comprehensive desktop Linux environment with accelerated graphics, supporting libraries such as NVIDIA CUDA, TensorRT, and CuDNN.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eDimension\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e93.4 mm x 93.4 mm x 50 mm\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eWeight\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e≈ 500g\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eWatchdog\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eSupport external watchdog\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eUsb\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e2× USB 3.0 (Max: 1A)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eProduct tutorials\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eProduct datasheet\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eSdk software and firmware files\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"3\"\u003e\n        \u003cdiv class=\"fx-docs\"\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct tutorials\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct datasheet\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eSDK software and firmware files\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eDocument links will be replaced with the official Firefly resource URLs on request.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"4\"\u003e\n        \u003cp\u003e\u003cb\u003eOur cooperating carriers:\u003c\/b\u003e FedEx, DHL, UPS, SF Express\u003c\/p\u003e\n    \u003ch3\u003eDelivery Area And Cost\u003c\/h3\u003e\n    \u003cdiv class=\"fx-scroll\"\u003e\n      \u003ctable class=\"fx-table\"\u003e\n        \u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eCountry\/Region\u003c\/th\u003e\n\u003cth\u003e0–2kg\u003c\/th\u003e\n\u003cth\u003e2–3kg\u003c\/th\u003e\n\u003cth\u003e3–4kg\u003c\/th\u003e\n\u003cth\u003e4–5kg\u003c\/th\u003e\n\u003cth\u003e5–6kg\u003c\/th\u003e\n\u003cth\u003e6–7kg\u003c\/th\u003e\n\u003cth\u003e7–8kg\u003c\/th\u003e\n\u003cth\u003e8–9kg\u003c\/th\u003e\n\u003cth\u003e9–10kg\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n        \u003ctbody\u003e\n          \u003ctr\u003e\n\u003ctd\u003eJapan, Taiwan, Hong Kong, Macau\u003c\/td\u003e\n\u003ctd\u003e$15\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSingapore, Thailand, Malaysia\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eIndonesia, Philippines\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003ctd\u003e$70\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSouth Korea\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eUnited States, Australia, New Zealand, Canada, UK, and most of Western Europe\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$75\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$105\u003c\/td\u003e\n\u003ctd\u003e$115\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eOther regions (Eastern Europe, Middle East, Latin America, etc.)\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$110\u003c\/td\u003e\n\u003ctd\u003e$125\u003c\/td\u003e\n\u003ctd\u003e$135\u003c\/td\u003e\n\u003ctd\u003e$150\u003c\/td\u003e\n\u003ctd\u003e$165\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003c\/tbody\u003e\n      \u003c\/table\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eShipping time is for reference only; the actual situation shall prevail.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"5\"\u003e\n    Why Buy From Ai-Paipai?\n  \u003c\/div\u003e\n\n  \u003c!-- TAB 0: Description --\u003e\n  \u003cdiv class=\"fx-panel is-active\" data-fx-panel=\"0\"\u003e\n    \u003cdiv class=\"fx-auth\"\u003e\n      \u003cb\u003e✅ Authorized Distributor — Ai-Paipai\u003c\/b\u003e\u003cbr\u003e\n      Supplied by an authorized distributor of the original brand. We provide local technical support,\n      pre-installed SDK \/ system images, and OEM \/ ODM customization, plus fast global shipping.\n    \u003c\/div\u003e\n    \u003cp\u003eWith up to 157 TOPS of computing power, AIBOX-OrinNX can run almost all modern AI models, including Transformer and ROS robot models. Implement larger and more complex deep neural networks, such as using TensorFlow, OpenCV, JetPack, MXNet, PyTorch, etc., to achieve object recognition, target detection and tracking, speech recognition, and other visual development functions, and adapt to a variety of AI application scenarios.\u003c\/p\u003e\n\n    \u003ch3\u003eApplication Cases\u003c\/h3\u003e\n    \u003cul\u003e\n      \u003cli\u003eBackground Removal via U²-Net\u003c\/li\u003e\n      \u003cli\u003eMonocular Depth Estimation\u003c\/li\u003e\n    \u003c\/ul\u003e\n\n    \u003ch3\u003eFeature\u003c\/h3\u003e\n    \u003cul\u003e\n      \u003cli\u003e\n\u003cb\u003eHigh-performance Edge Computing Jetson Orin NX Module:\u003c\/b\u003e The NVIDIA Jetson Orin NX edge computing module (16GB version) is equipped with an eight-core ARM CPU and a 1024-core NVIDIA Ampere architecture GPU (including 32 Tensor Cores), which can run multiple AI application pipelines simultaneously and provide powerful inference performance.\u003c\/li\u003e\n      \u003cli\u003e\n\u003cb\u003eUp to 157 TOPS of Computing Power:\u003c\/b\u003e The AIBOX-OrinNX provides up to 157 TOPS of computing power and is equipped with a 128GB PCIe NVMe SSD. The Ubuntu 22.04-based JETSON system provides a comprehensive desktop Linux environment with accelerated graphics capabilities and support for libraries such as NVIDIA CUDA, TensorRT, and CuDNN.\u003c\/li\u003e\n      \u003cli\u003e\n\u003cb\u003eSupport 18-channel 1080p@30fps H.265 Video Decoding:\u003c\/b\u003e Supports up to 1×8K30 (H.265), 2×4K60 (H.265), 4×4K30 (H.265), 9×1080p60 (H.265), and 18×1080p30 (H.265) video decoding to meet the needs of diverse AI application scenarios.\u003c\/li\u003e\n      \u003cli\u003e\n\u003cb\u003eAluminum Alloy Enclosure With Efficient Heat Dissipation:\u003c\/b\u003e Industrial-grade full metal shell and aluminum alloy structure with excellent thermal conductivity. The grille design on the top cover effectively conducts heat and ensures computing performance and stability even under high-temperature operating conditions.\u003c\/li\u003e\n    \u003c\/ul\u003e\n\n    \u003ch3\u003eApplications\u003c\/h3\u003e\n    \u003cul\u003e\n      \u003cli\u003e\n\u003cb\u003eAI Software Stack and Ecosystem:\u003c\/b\u003e Enable edge AI and robotics development with the world's most comprehensive AI software stack and ecosystem, powered by generative AI at the edge and the NVIDIA Metropolis and Isaac platforms. NVIDIA JetPack, Isaac ROS, and reference AI workflows seamlessly integrate cutting-edge technologies into your products.\u003c\/li\u003e\n      \u003cli\u003e\n\u003cb\u003eGenerative AI at The Edge:\u003c\/b\u003e NVIDIA Jetson Orin provides unparalleled AI computing power, large unified memory, and a comprehensive software stack with excellent energy efficiency to drive the latest generative AI applications.\u003c\/li\u003e\n      \u003cli\u003e\n\u003cb\u003eThe Private Deployment of Large Models:\u003c\/b\u003e Large language models; Vision models; AI painting; Traditional network architectures; Deep learning frameworks; Docker containerization.\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- TAB 1: What's Included --\u003e\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"1\"\u003e\n    \u003ch3\u003eShipping list\u003c\/h3\u003e\n    \u003cul\u003e\n      \u003cli\u003eAIBOX-OrinNX * 1\u003c\/li\u003e\n      \u003cli\u003ePower Adapter (12V4A, EU\/US\/UK\/AU) * 1\u003c\/li\u003e\n      \u003cli\u003eType-C 2.0 USB Cable * 1\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- TAB 2: Specifications --\u003e\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"2\"\u003e\n    \u003cdiv class=\"fx-specs\"\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAi performance\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e157 TOPS\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eTraditional network architectures\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eTraditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks include TensorFlow, PyTorch, MXNet, PaddlePaddle, ONNX, and Darknet; custom operator development.\u003cbr\u003eDocker container management technology facilitates easy image deployment.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eAi software stack\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eNVIDIA Jetson Orin offers unparalleled AI computing, large unified memory, and comprehensive software stacks, delivering superior energy efficiency to drive the latest generative AI applications. It's capable of fast inference for any generative AI models powered by the transformer architecture, providing superior edge performance on MLPerf.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eLarge model\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eRobotic models: ROS models\u003cbr\u003eLarge language models: The private deployment of ultra-large-scale parameter models under the Transformer architecture, such as LLaMa2, ChatGLM, and Qwen.\u003cbr\u003eVision models: ViT, Grounding DINO, and SAM.\u003cbr\u003eAI painting: Stable Diffusion V1.5 image generation model in the AIGC field.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eCPU\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eOcta-core 64-bit Arm Cortex-A78AE v8.2 processor, up to 2.0GHz\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eGPU\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eDC 12V (DC 5.5 * 2.1mm)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003ePower consumption\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eNormal: 7.2W (12V\/600mA)\u003cbr\u003eMax: 33.6W (12V\/2800mA)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eVideo output\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e1 × HDMI 2.1 (4K@60fps)\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eOS\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eThe Jetson system, based on Ubuntu 22.04, offers a comprehensive desktop Linux environment with accelerated graphics, supporting libraries such as NVIDIA CUDA, TensorRT, and CuDNN.\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eDimension\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e93.4 mm x 93.4 mm x 50 mm\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eWeight\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e≈ 500g\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eWatchdog\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003eSupport external watchdog\u003c\/div\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-spec\"\u003e\n\u003cdiv class=\"fx-k\"\u003eUSB\u003c\/div\u003e\n\u003cdiv class=\"fx-v\"\u003e2× USB 3.0 (Max: 1A)\u003c\/div\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- TAB 3: Documents --\u003e\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"3\"\u003e\n    \u003cdiv class=\"fx-docs\"\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct tutorials\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eProduct datasheet\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n      \u003cdiv class=\"fx-doc\"\u003e\n\u003cspan\u003eSdk software and firmware files\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e\n\u003c\/div\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eDocument links will be replaced with the official Firefly resource URLs.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- TAB 4: Shipping Information --\u003e\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"4\"\u003e\n    \u003cp\u003e\u003cb\u003eOur cooperating carriers:\u003c\/b\u003e FedEx, DHL, UPS, SF Express\u003c\/p\u003e\n    \u003ch3\u003eDelivery Area And Cost\u003c\/h3\u003e\n    \u003cdiv class=\"fx-scroll\"\u003e\n      \u003ctable class=\"fx-table\"\u003e\n        \u003cthead\u003e\u003ctr\u003e\n          \u003cth\u003eCountry\/Region\u003c\/th\u003e\n\u003cth\u003e0–2kg\u003c\/th\u003e\n\u003cth\u003e2–3kg\u003c\/th\u003e\n\u003cth\u003e3–4kg\u003c\/th\u003e\n\u003cth\u003e4–5kg\u003c\/th\u003e\n          \u003cth\u003e5–6kg\u003c\/th\u003e\n\u003cth\u003e6–7kg\u003c\/th\u003e\n\u003cth\u003e7–8kg\u003c\/th\u003e\n\u003cth\u003e8–9kg\u003c\/th\u003e\n\u003cth\u003e9–10kg\u003c\/th\u003e\n        \u003c\/tr\u003e\u003c\/thead\u003e\n        \u003ctbody\u003e\n          \u003ctr\u003e\n\u003ctd\u003eJapan, Taiwan, Hong Kong, Macau\u003c\/td\u003e\n\u003ctd\u003e$15\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSingapore, Thailand, Malaysia\u003c\/td\u003e\n\u003ctd\u003e$20\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eIndonesia, Philippines\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$40\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$60\u003c\/td\u003e\n\u003ctd\u003e$70\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eSouth Korea\u003c\/td\u003e\n\u003ctd\u003e$25\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$35\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eUnited States, Australia, New Zealand, Canada, UK, and most of Western Europe\u003c\/td\u003e\n\u003ctd\u003e$30\u003c\/td\u003e\n\u003ctd\u003e$45\u003c\/td\u003e\n\u003ctd\u003e$55\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$75\u003c\/td\u003e\n\u003ctd\u003e$85\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$105\u003c\/td\u003e\n\u003ctd\u003e$115\u003c\/td\u003e\n\u003c\/tr\u003e\n          \u003ctr\u003e\n\u003ctd\u003eOther regions (Eastern Europe, Middle East, Latin America, etc.)\u003c\/td\u003e\n\u003ctd\u003e$50\u003c\/td\u003e\n\u003ctd\u003e$65\u003c\/td\u003e\n\u003ctd\u003e$80\u003c\/td\u003e\n\u003ctd\u003e$95\u003c\/td\u003e\n\u003ctd\u003e$110\u003c\/td\u003e\n\u003ctd\u003e$125\u003c\/td\u003e\n\u003ctd\u003e$135\u003c\/td\u003e\n\u003ctd\u003e$150\u003c\/td\u003e\n\u003ctd\u003e$165\u003c\/td\u003e\n\u003c\/tr\u003e\n        \u003c\/tbody\u003e\n      \u003c\/table\u003e\n    \u003c\/div\u003e\n    \u003cp class=\"fx-note\"\u003eShipping time is for reference only; the actual situation shall prevail.\u003c\/p\u003e\n  \u003c\/div\u003e\n\n  \u003c!-- TAB 5: Why Buy From Ai-Paipai --\u003e\n  \u003cdiv class=\"fx-panel\" data-fx-panel=\"5\"\u003e\n    \u003cul\u003e\n      \u003cli\u003e\n\u003cb\u003eAuthorized distributor\u003c\/b\u003e — genuine products with full manufacturer warranty.\u003c\/li\u003e\n      \u003cli\u003e\n\u003cb\u003eLocal technical support\u003c\/b\u003e — pre-installed SDK \/ system images, ready to run out of the box.\u003c\/li\u003e\n      \u003cli\u003e\n\u003cb\u003eOEM \/ ODM customization\u003c\/b\u003e — carrier board, enclosure, I\/O and branding options.\u003c\/li\u003e\n      \u003cli\u003e\n\u003cb\u003eFast global shipping\u003c\/b\u003e — FedEx \/ DHL \/ UPS \/ SF Express, tracked door to door.\u003c\/li\u003e\n      \u003cli\u003e\n\u003cb\u003eVolume pricing\u003c\/b\u003e — contact us for project and distributor pricing.\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003cstyle\u003e\n  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Wifi","offer_id":48422538772738,"sku":"firefly-aibox-orinnx-157tops-ai-big-model-of-edge-computing-jetson-module-nvidia-42231474061396","price":1559.0,"currency_code":"USD","in_stock":true},{"title":"16G RAM+256G SSD \/ Standard without Wifi","offer_id":48422538805506,"sku":"firefly-aibox-orinnx-157tops-ai-big-model-of-edge-computing-jetson-module-nvidia-45300359069780","price":1649.0,"currency_code":"USD","in_stock":true},{"title":"16G RAM+256G SSD \/ Deepseek Deployed without Wifi","offer_id":48422538838274,"sku":"firefly-aibox-orinnx-157tops-ai-big-model-of-edge-computing-jetson-module-nvidia-45300359102548","price":1669.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0837\/5953\/0242\/files\/800800-1.jpg?v=1788244361"},{"product_id":"aibox-orinnano-67tops-ai-big-model-of-edge-computing-jetson-module-nvidia","title":"AIBOX-OrinNano Jetson Orin Nano Embedded PC","description":"\u003cp class=\"geo-summary\" style=\"font-size:1rem;line-height:1.65;margin:0 0 1.25rem;padding:0 0 1rem;border-bottom:1px solid #e5e7eb;color:#1f2937\"\u003e\u003cstrong\u003eAIBOX-OrinNano Jetson Orin Nano Embedded PC\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Cpu: Hexa-core 64-bit ARM Cortex-A78AE v8.2 processor, up to… · Ai performance: 67 TOPS · Traditional network architectures: Traditional network architectures such as CNN, RNN, and… · Video output: 1×HDMI 2.1 (4K@60fps) · Usb: 2 × USB 3.0 (Max: 1A). Typical applications: edge AI inference, machine vision and industrial automation. Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.) is an authorized distributor providing local technical support, pre-installed SDK \/ OS images, OEM \/ ODM customization, and worldwide shipping.\u003c\/p\u003e \u003c!-- Firefly product tabs --\u003e \u003cdiv class=\"fx-tabs\" data-fx-tabs\u003e \u003cdiv class=\"fx-tablist\" role=\"tablist\"\u003e \u003cbutton class=\"fx-tab is-active\" role=\"tab\" data-fx-tab=\"0\"\u003eDescription\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"1\"\u003eWhat's Included\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"2\"\u003eSpecifications\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"3\"\u003eDocuments\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"4\"\u003eShipping Information\u003c\/button\u003e \u003cbutton class=\"fx-tab\" role=\"tab\" data-fx-tab=\"5\"\u003eWhy Buy From Ai-Paipai?\u003c\/button\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel is-active\" data-fx-panel=\"0\"\u003e \u003cdiv style=\"border:2px solid #2b6cb0;background:#f0f7ff;padding:14px 18px;margin:0 0 18px;border-radius:8px;\"\u003e \u003ch3 style=\"margin:0 0 6px;color:#2b6cb0;\"\u003e✅ Authorized Distributor — Ai-Paipai (Shenzhen AiPaipai Intelligent Technology Co., Ltd.)\u003c\/h3\u003e \u003cp style=\"margin:0;font-size:14px;\"\u003eThis product is supplied by an \u003cb\u003eauthorized distributor\u003c\/b\u003e of the original brand.\nWe provide \u003cb\u003elocal technical support, pre-installed SDK \/ mirror images, and OEM \/ ODM customization\u003c\/b\u003e, plus fast global shipping.\u003c\/p\u003e \u003c\/div\u003e \u003cp\u003eAIBOX-OrinNano is equipped with NVIDIA's original Jetson Orin Nano core module (8GB RAM version), providing up to 67 TOPS of computing power, supporting private deployment of mainstream AI models such as Transformer and ROS robot models, thereby realizing larger and more complex deep neural networks, and realizing visual development tasks such as object recognition, target detection and tracking, and speech recognition, meeting higher-level AI application scenario requirements.\u003c\/p\u003e \u003cul\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eProduct Datasheet: \u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/AIBOX-OrinNano_AIBOX-OrinNX_Specification_EN.pdf?v=1749620262\"\u003eClick Here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eProduct Wiki: \u003ca href=\"https:\/\/wiki.t-firefly.com\/en\/AIBOX-Orin-Nano\/index.html\"\u003eClick Here\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eApplication Cases \u003c\/strong\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003ca href=\"https:\/\/www.firefly.store\/blogs\/technical-case\/aibox-application-case-background-removal-via-u-net\"\u003e\u003cstrong\u003eBackground Removal via U²-Net\u003c\/strong\u003e\u003c\/a\u003e\u003c\/li\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003e\u003ca href=\"https:\/\/www.firefly.store\/blogs\/news\/monocular-depth-estimation-aibox-application\"\u003eMonocular Depth Estimation\u003c\/a\u003e\u003c\/strong\u003e\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e \u003cstrong\u003eHigh-performance Edge Computing Module: \u003c\/strong\u003eThe NVIDIA Jetson Orin Nano edge computing module (8GB version) is equipped with a six-core ARM CPU and a 1024-core NVIDIA Ampere architecture GPU (including 32 Tensor Cores), which can run multiple AI application pipelines simultaneously and provide powerful inference performance.\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e \u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eMultiple Deep Learning Frameworks: \u003c\/strong\u003eIt supports a variety of cuDNN-accelerated deep learning frameworks, including PaddlePaddle, PyTorch, TensorFlow, MATLAB, MxNet, Caffe2, Chainer, Keras, etc., as well as custom operator development, and supports Docker containerization technology.\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eAluminum Alloy Enclosure With Efficient Heat Dissipation: \u003c\/strong\u003eAIBOX adopts an industrial-grade all-metal shell and an aluminum alloy structure with good thermal conductivity. The grille design on the side of the top cover is conducive to external airflow and efficient heat dissipation, ensuring computing performance and stability even in high-temperature operating environments.\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eApplication\u003c\/strong\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e \u003cstrong\u003eAI Software Stack And Ecosystem:\u003c\/strong\u003e NVIDIA JetPack, Isaac ROS, and reference AI workflows seamlessly integrate cutting-edge technologies into your products without expensive in-house AI resources. Experience end-to-end acceleration of AI applications and get to market faster using the same powerful technology that drives data center and cloud deployments.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eThe Private Deployment Of Large Models:\u003c\/strong\u003e Large language model: supports the Ollamalocal large model deployment framework and private deployment of ultra-large-scale parameterized models: Llama3, Phi-3 Mini. Vision model: supports EfficientVIT, NanoOWL, NanoSAM, SAM, TAM. AI painting: supports ComfyUIgraphical deployment framework and private deployment of Flux, and a stable Diffusion image generation model in the AIGC field.\u003cbr\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eHardware Overview\u003c\/strong\u003e\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/ORINAIBOX.webp?v=1751269631\"\u003e\u003c\/strong\u003e\u003c\/p\u003e \u003chr\u003e \u003ch2\u003e \u003c\/h2\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"1\"\u003e \u003ch3\u003eShipping list\u003c\/h3\u003e \u003cul\u003e \u003cli\u003eMain unit × 1\u003c\/li\u003e \u003cli\u003ePower adapter \/ cable (region plug on request) × 1\u003c\/li\u003e \u003cli\u003eAccessories vary by configuration — contact us for the exact included list.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"2\"\u003e \u003cdiv class=\"fx-specs\"\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eShipping list\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eAIBOX-OrinNano*1\n12V3A Power Adapter*1\nType-C 2.0 USB Cable*1\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAi performance\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e67 TOPS\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eTraditional network architectures\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eTraditional network architectures such as CNN, RNN, and LSTM; a variety of deep learning frameworks include TensorFlow, PyTorch, MXNet, PaddlePaddle, ONNX, and Darknet; custom operator development.\nDocker container management technology facilitates easy image deployment.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eAi software stack\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eNVIDIA Jetson Orin offers unparalleled AI computing, large unified memory, and comprehensive software stacks, delivering superior energy efficiency to drive the latest generative AI applications. It’s capable of fast inference for any generative AI models powered by the transformer architecture, providing superior edge performance on MLPerf.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eLarge model\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eRobotic models: ROS models.\nLarge language models: The private deployment of ultra-large-scale parameter models under the Transformer architecture, such as LLaMa2, ChatGLM, and Qwen.\nVision models: ViT, Grounding DINO, and SAM.\nAI painting: Stable Diffusion V1.5 image generation model in the AIGC field.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eCpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eHexa-core 64-bit ARM Cortex-A78AE v8.2 processor, up to 1.7GHz\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003ePower\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eDC 12V (DC 5.5 x 2.1mm) \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003ePower consumption\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eNormal: 7.2W (12V\/600mA)\nMax: 18W (12V\/1500mA)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eVideo output\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1×HDMI 2.1 (4K@60fps)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOs\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eThe Jetson system, based on Ubuntu 22.04, offers a comprehensive desktop Linux environment with accelerated graphics, supporting libraries such as NVIDIA CUDA, TensorRT, and CuDNN.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eDimension\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e93.4 mm x 93.4 mm x 50 mm\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eWeight\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e≈ 500g\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eEnvironment\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eOperating temperature: -20℃~60℃\nStorage temperature: -20℃~70℃\nStorage Humidity: 10%~90%RH (non-condensing)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eWatchdog\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eSupport external watchdog\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eEthernet\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × Gigabit Ethernet (1000Mbps \/ RJ45)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eUsb\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e2 × USB 3.0 (Max: 1A)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOther\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 × Type-C (USB 2.0 OTG)\n1 × Console (debug serial port)\n1 × Recovery\n1 × power button\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eProduct tutorials\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eSdk software and firmware files\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eClick Here\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"3\"\u003e \u003cdiv class=\"fx-docs\"\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eProduct tutorials\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eProduct datasheet\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003cdiv class=\"fx-doc\"\u003e \u003cspan\u003eSDK software and firmware files\u003c\/span\u003e\u003ca href=\"#\" target=\"_blank\" rel=\"noopener\"\u003eClick Here\u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cp class=\"fx-note\"\u003eDocument links will be replaced with the official Firefly resource URLs on request.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"4\"\u003e \u003cp\u003e\u003cb\u003eOur cooperating carriers:\u003c\/b\u003e FedEx, DHL, UPS, SF Express\u003c\/p\u003e \u003ch3\u003eDelivery Area And Cost\u003c\/h3\u003e \u003cdiv class=\"fx-scroll\"\u003e \u003ctable class=\"fx-table\"\u003e \u003cthead\u003e\u003ctr\u003e \u003cth\u003eCountry\/Region\u003c\/th\u003e \u003cth\u003e0–2kg\u003c\/th\u003e \u003cth\u003e2–3kg\u003c\/th\u003e \u003cth\u003e3–4kg\u003c\/th\u003e \u003cth\u003e4–5kg\u003c\/th\u003e \u003cth\u003e5–6kg\u003c\/th\u003e \u003cth\u003e6–7kg\u003c\/th\u003e \u003cth\u003e7–8kg\u003c\/th\u003e \u003cth\u003e8–9kg\u003c\/th\u003e \u003cth\u003e9–10kg\u003c\/th\u003e \u003c\/tr\u003e\u003c\/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd\u003eJapan, Taiwan, Hong Kong, Macau\u003c\/td\u003e \u003ctd\u003e$15\u003c\/td\u003e \u003ctd\u003e$20\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSingapore, Thailand, Malaysia\u003c\/td\u003e \u003ctd\u003e$20\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$60\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eIndonesia, Philippines\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$40\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$60\u003c\/td\u003e \u003ctd\u003e$70\u003c\/td\u003e \u003ctd\u003e$80\u003c\/td\u003e \u003ctd\u003e$85\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSouth Korea\u003c\/td\u003e \u003ctd\u003e$25\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$35\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eUnited States, Australia, New Zealand, Canada, UK, and most of Western Europe\u003c\/td\u003e \u003ctd\u003e$30\u003c\/td\u003e \u003ctd\u003e$45\u003c\/td\u003e \u003ctd\u003e$55\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$75\u003c\/td\u003e \u003ctd\u003e$85\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003ctd\u003e$105\u003c\/td\u003e \u003ctd\u003e$115\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eOther regions (Eastern Europe, Middle East, Latin America, etc.)\u003c\/td\u003e \u003ctd\u003e$50\u003c\/td\u003e \u003ctd\u003e$65\u003c\/td\u003e \u003ctd\u003e$80\u003c\/td\u003e \u003ctd\u003e$95\u003c\/td\u003e \u003ctd\u003e$110\u003c\/td\u003e \u003ctd\u003e$125\u003c\/td\u003e \u003ctd\u003e$135\u003c\/td\u003e \u003ctd\u003e$150\u003c\/td\u003e \u003ctd\u003e$165\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e \u003c\/table\u003e \u003c\/div\u003e \u003cp class=\"fx-note\"\u003eShipping time is for reference only; the actual situation shall prevail.\u003c\/p\u003e \u003c\/div\u003e \u003cdiv class=\"fx-panel\" data-fx-panel=\"5\"\u003e\n Why Buy From Ai-Paipai? \u003cul\u003e \u003cli\u003e \u003cb\u003eAuthorized \u0026amp; Genuine\u003c\/b\u003e — sourced directly from brand-approved channels.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eLocal Engineering Support\u003c\/b\u003e — datasheets, SDKs, and pre-flashed images in English and Chinese.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eOEM \/ ODM \u0026amp; FPGA Customization\u003c\/b\u003e — tailor specs, enclosures, and BSP for your project.\u003c\/li\u003e \u003cli\u003e \u003cb\u003eOne-Stop Sourcing\u003c\/b\u003e — Firefly + youyeetoo + our own FPGA \/ edge lineup in one store.\u003c\/li\u003e \u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cstyle\u003e.fx-tabs{margin:24px 0;border:1px solid #e5e7eb;border-radius:10px;overflow:hidden;background:#fff}.fx-tablist{display:flex;flex-wrap:wrap;gap:0;border-bottom:1px solid #e5e7eb;background:#f8fafc}.fx-tab{flex:1 1 auto;min-width:120px;padding:14px 16px;border:0;background:transparent;cursor:pointer;font:600 14px\/1.3 inherit;color:#475569;border-bottom:3px solid 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