{"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 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