{"product_id":"roc-rk3576-pc-octa-core-6t-aiot-mini-computer","title":"ROC-RK3576-PC AIOT ARM Single Board 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\u003eROC-RK3576-PC AIOT ARM Single Board Computer\u003c\/strong\u003e is a Firefly product sold by Ai-Paipai. Key specifications — Soc: Rockchip RK3576 Octa-core 64-bit processor (4×A72 +… · Npu: 6 TOPS NPU, supporting INT4\/8\/16\/FP16\/BF16\/TF32 mixed… · Ram: LPDDR4\/LPDDR5 (4GB\/8GB\/16GB optional) · Storage: eMMC (16GB\/32GB\/64GB\/128GB\/256GB optional), UFS2.0… · Video input: 1 * MIPI CSI DPHY (30Pin-0.5mm, 1*4 lanes\/2*2 lanes). 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\u003eROC-RK3576-PC is equipped with Rockchip's eight-core 64-bit AIOT processor RK3576, which adopts the big.iTTLE architecture (4xA72+4xA53) and uses advanced lithography technology to provide high performance while maintaining low power consumption. It is equipped with ARM Mali G52 MC3 GPU and 6 TOPs NPU, supports private deployment of ultra-large parameter models under the Transformer architecture, and is compatible with various deep learning frameworks, custom operator development, and Docker container management technology. Equipped with an external watchdog to ensure industrial-grade reliability, it is an ideal choice for AI applications that require local deployment.\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\/ROC-RK3576-PC_Specification_EN.pdf?v=1750669203\"\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\/ROC-RK3576-PC\/\"\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\u003cspan\u003e\u003cstrong\u003eThe Private Deployment of Large Models:\u003c\/strong\u003e Large language Models; Traditional network architectures; Docker container\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan\u003e\u003cstrong\u003eOcta-core 64-bit AIOT Processor RK3576:\u003c\/strong\u003e RK3576 is a new octa-core 64-bit high-performance AIoT processor that adopts big.LITTLE architecture (4×A72+4×A53), uses advanced lithography technology and has a main frequency of up to 2.2GHz.\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e\u003cspan\u003e\u003cstrong\u003e4K@120fps High Frame Rate Video Decoding:\u003c\/strong\u003e It supports 8K@30fps\/4K@120fps decoding (H.265\/HEVC, VP9, AVS2, AV1) and 4K@60fps decoding (H.264\/AVC), and is equipped with HDMI 2.1 (4K@120fps)\/eDP1.3 (4K@60fps), DP1.4 (4K@120fps), and MIPI DSI (2560*1600@60fps) interfaces, enabling triple-display output.\u003c\/span\u003e\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eUFS 2.0 with A Data Read Speed of Up to 12 Gbps: \u003c\/strong\u003eThe device supports UFS 2.0 \/ HS-G3 (12 Gbps), ensuring efficient data storage and access. With PCIe NVMe\/SATA SSD expansion, it provides fast data read and write speeds, allowing the device to be easily expanded to TB-level storage capacity.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003e16MP ISP with Enhanced Image Processing Capabilities: \u003c\/strong\u003eThe integrated 16-megapixel ISP supports low-light noise reduction, RGB-IR sensor, and up to 120dB HDR. It uses AI-ISP technology to reduce noise, improve image quality, and supports MIPI-CSI input.\u003c\/li\u003e \u003cli\u003e \u003cstrong\u003eCompact Size and Rich Interfaces:\u003c\/strong\u003e Rich expansion interface options include MIPI-CSI, MIPI DSI, USB 3.0, USB 2.0, I2C, SPI, SARADC, UART, PWM, LineOut, etc. The device provides a 1000Mbps Ethernet port, 2.4\/5GHz dual-band WiFi, and Bluetooth 5.0. Its compact design (90mm x 60mm in size) makes it highly adaptable to various applications.\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 18px;\"\u003e\u003cstrong\u003eApplications\u003c\/strong\u003e\u003c\/h2\u003e \u003cul\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eEdge Computing\u003c\/strong\u003e\u003c\/li\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eDigital Signage\u003c\/strong\u003e\u003c\/li\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eIndustrial Embedded PC\u003c\/strong\u003e\u003c\/li\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eCloud Terminal Products\u003c\/strong\u003e\u003c\/li\u003e \u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eAutomotive Electronics\u003c\/strong\u003e\u003c\/li\u003e \u003c\/ul\u003e \u003ch2 style=\"font-size: 20px;\"\u003e\u003cstrong\u003eHardware Overview\u003cstrong\u003e\u003c\/strong\u003e\u003c\/strong\u003e\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0592\/4965\/5892\/files\/roc-3576_overview.webp?v=1750670316\" 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\"\u003eSoc\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eRockchip RK3576\nOcta-core 64-bit processor (4×A72 + 4×A53), 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\"\u003eG52 MC3 @ 1GHz, supporting OpenGL ES 1.1\/2.0\/3.2, OpenCL 2.0, Vulkan 1.1\nBuilt-in high-performance 2D acceleration hardware\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eNpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e6 TOPS NPU, supporting INT4\/8\/16\/FP16\/BF16\/TF32 mixed operations\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eVpu\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eDecoding: 8K@30fps\/4K@120fps: H.265\/HEVC, VP9, AVS2, AV1, 4K@60fps: H.264\/AVC.\nEncoding: 4K@60fps: H.265\/HEVC, H.264\/AVC\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eRam\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eLPDDR4\/LPDDR5 (4GB\/8GB\/16GB optional)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eStorage\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eeMMC (16GB\/32GB\/64GB\/128GB\/256GB optional), UFS2.0 (optional)\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 * 2.1mm, 12V~24V wide input voltage)\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: 1.2W(12V\/100mA), Max: 6W(12V\/500mA), Min: 0.096W(12V\/8mA)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eVideo input\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 * MIPI CSI DPHY (30Pin-0.5mm, 1*4 lanes\/2*2 lanes)\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOs\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eAndroid 14, Linux OS, and Buildroot+QT\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eSoftware support\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003eThe private deployment of ultra-large-scale parameter models under the transformer architecture, such as Gemma-2B, LlaMa2-7B, ChatGLM3-6B, Qwen1.5-1.8B, and more.\nTraditional network architectures such as CNN, RNN, and LSTM, a variety of deep learning frameworks include TensorFlow, PyTorch, MXNet, PaddlePaddle, ONNX, and Darknet.\nCustom operator development.\nDocker container management technology.\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eDimension\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e93.00mm * 60.15mm * 12.49mm\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eWeight\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e≈50g\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 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\"\u003eExternal watchdog\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eUsb\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 * USB 3.0, 1 * USB 2.0\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"fx-spec\"\u003e \u003cdiv class=\"fx-k\"\u003eOther\u003c\/div\u003e \u003cdiv class=\"fx-v\"\u003e1 * Type-C (OTG\/DP1.4), 1 * FAN (4Pin-1.25mm), 1 * Debug (3Pin-2mm), \n1 * 3.5mm Audio jack (supporting MIC recording, CTIA standard), 1 * MIC (2Pin-1.25mm)\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":"4G RAM+64G ROM","offer_id":48422476415234,"sku":"firefly-roc-rk3576-pc-octa-core-6t-aiot-mini-computer-41541811765332","price":259.0,"currency_code":"USD","in_stock":true},{"title":"8G RAM+64G ROM","offer_id":48422476448002,"sku":"firefly-roc-rk3576-pc-octa-core-6t-aiot-mini-computer-41541811798100","price":289.0,"currency_code":"USD","in_stock":true},{"title":"16G RAM+128 ROM","offer_id":48422476480770,"sku":"firefly-roc-rk3576-pc-octa-core-6t-aiot-mini-computer-42112966950996","price":559.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0837\/5953\/0242\/files\/2693-1719-max_0baa6cdd-a930-45e8-8e61-b1d78fc11447.webp?v=1788244385","url":"https:\/\/ai-paipai.store\/products\/roc-rk3576-pc-octa-core-6t-aiot-mini-computer","provider":"Ai-Paipai","version":"1.0","type":"link"}