{"product_id":"recomputer-rk3576-20-open-rockchip-ai-box-for-ai-development","title":"reComputer RK3576-20 Open Rockchip AI Box for AI Development","description":"\u003ch1 style=\"text-align: center;\"\u003ereComputer RK3576-20 Open Rockchip AI Box for AI Development\u003c\/h1\u003e\n\u003cp style=\"text-align: center;\"\u003eThis product is more than an open-source 8-core Linux AI box. Built on the powerful \u003cstrong\u003eRockchip RK3576\u003c\/strong\u003e \u003cstrong\u003e4GB RAM\u003c\/strong\u003e, it is designed to make edge AI development and deployment faster and easier.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eTo improve the developer experience, Seeed offers \u003cstrong\u003e\u003ca data-lark-is-custom=\"true\" href=\"https:\/\/sensecraft.seeed.cc\/ai-lab\"\u003ereComputer AI Lab\u003c\/a\u003e\u003c\/strong\u003e — a platform that helps you deploy AI applications with \u003cstrong\u003eone-click tools and ready-to-use resources\u003c\/strong\u003e. It includes optimized edge AI model demos for \u003cstrong\u003eCV\u003c\/strong\u003e, \u003cstrong\u003eLLM\u003c\/strong\u003e, \u003cstrong\u003eVLM\u003c\/strong\u003e, \u003cstrong\u003eSTT\u003c\/strong\u003e, and \u003cstrong\u003eTTS\u003c\/strong\u003e, interactive tutorials, deployment tools, containerized applications, and community projects to speed up development on Rockchip.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eWith rich I\/O, multiple OS support, wireless expansion options, and active cooling, this compact AI box is ready for a wide range of edge AI workloads. It is ideal for smart vision systems, voice-enabled devices, AI agents, robotics, and industrial edge applications.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/iStTz_NzJ2c?si=BicC3YYWQW3AxhOG\" title=\"YouTube video player\" width=\"1270\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/reComputer_RK_Flyer-EN_7.7.jpg\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eKey Features\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeature 1: Based on Powerful RK3576 Processor\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe reComputer RK3588 features an advanced CPU architecture with\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e4 × Cortex-A72 @2.2GHz | 4 × Cortex-A53 @2.0GHz\u003cbr\u003eLPDDR5 (4GB\/8GB\/16GB) | ARM Mali GPU-G52 MC3\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeature 2: 6 TOPS NPU Embedded\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eWith a built-in \u003cstrong\u003e6 TOPS NPU\u003c\/strong\u003e, it delivers efficient AI inference directly on the device, reducing latency and enhancing privacy without relying on the cloud.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eAI performance highlights include:\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eVision CNN:\u003c\/strong\u003e YOLO11@77.9FPS(640*640)\u003cbr\u003e\u003cstrong\u003eLLM:\u003c\/strong\u003e capable for deepseek-r1-distill-qwen 7b support\u003cbr\u003e\u003cstrong\u003eVLM: \u003c\/strong\u003ecapable for qwen2.5-vl 3b\u003cbr\u003e\u003cstrong\u003eSTT: \u003c\/strong\u003ewhisper_base_20s (RTF 0.218) with real-time processing support\u003cbr\u003e\u003cstrong\u003eTTS:\u003c\/strong\u003e mms_tts_eng_200 (RTF 0.069) with real-time processing support\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eCheck the details of the \u003ca href=\"https:\/\/sensecraft.seeed.cc\/ai-lab\/tutorials\/rk\/benchmark\/cv\" rel=\"noopener\" target=\"_blank\"\u003ebenchmark\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeature 3: Compute Power, Storage, and Wireless Connectivity Expandable\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eIt offers flexible expansion through\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003ea) 1 × M.2 M Key: PCIe 2.1x1, supports SSD expansion and AI accelerators such as Hailo and Rockchip, up to 26TOPS\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eb) 1 x miniPCIe for wireless expansion, like 4G LTE, LoRaWAN, Wi-Fi HaLow\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/913904e2-7636-4a5a-beb4-0a545bec5cd1.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeature 4: Broad Model and Framework Support\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eIt also supports a wide range of popular AI models, From \u003cstrong\u003ecomputer vision\u003c\/strong\u003e and \u003cstrong\u003espeech\u003c\/strong\u003e to \u003cstrong\u003eLLM-powered edge intelligence\u003c\/strong\u003e, including: YOLO, MobileNet V2, RetinaFace, CLIP, Whisper, DeepSeek-R1, Qwen2-VL，...................\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eFramework support includes:\u003c\/strong\u003e ONNX, PyTorch, TensorFlow, TensorFlow Lite, Caffe, Darknet，...................\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eToolchain support:\u003c\/strong\u003e RKNN-Toolkit2\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThis broad compatibility makes it easy to migrate existing models and build integrated edge AI applications across Perception AI, Generative AI, Agent and Physical AI.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/cd050748-2016-413f-bcd8-2f92465500a9.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeature 5: Get Started in Seconds with reComputer AI Lab\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eDeploying AI at the edge is often complicated — from environment setup and model conversion to performance optimization. To simplify this process, Seeed created \u003cstrong\u003e\u003ca data-lark-is-custom=\"true\" href=\"https:\/\/sensecraft.seeed.cc\/ai-lab\"\u003ereComputer AI Lab\u003c\/a\u003e\u003c\/strong\u003e, a developer platform designed to lower the barrier to edge AI development.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eIt provides a complete collection of optimized AI model demos for CV, LLM, and VLM, along with interactive tutorials, deployment tools, containerized AI applications, project examples, and community resources. It is built to accelerate AI development and deployment on \u003cstrong\u003eRockchip\u003c\/strong\u003e, \u003cstrong\u003eRaspberry Pi\u003c\/strong\u003e, and \u003cstrong\u003eNVIDIA Jetson\u003c\/strong\u003e platforms.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eFor Rockchip users, reComputer AI Lab includes:\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eReady-to-Use Models\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eAccess pre-optimized models without starting from scratch. AI Lab includes models such as \u003cstrong\u003eYOLO11, MobileNet, CLIP, and Whisper\u003c\/strong\u003e, optimized for Rockchip platforms. With the \u003cstrong\u003eRKLLM toolchain\u003c\/strong\u003e, it also supports edge LLM deployment.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eOne-Command Deployment Tools\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eSkip complex build environments and speed up deployment with one-command tools. With Seeed-optimized \u003cstrong\u003eRKNN-Toolkit2\u003c\/strong\u003e, models can be converted from \u003cstrong\u003eONNX to NPU deployment\u003c\/strong\u003e in just minutes, making AI application deployment faster and easier.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eComprehensive Tutorials, Projects, and Community\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eFrom basic NPU benchmarking to real-world applications such as \u003cstrong\u003eYOLO11-based industrial detection\u003c\/strong\u003e, AI Lab provides step-by-step guides, practical project examples, and community support to help developers build faster.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/3438e6dd-ff74-4468-8d97-5a526b76050f.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeature 6: Pre-installed Armbian and Multi-OS\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe device comes with \u003cstrong\u003e\u003ca data-lark-is-custom=\"true\" href=\"https:\/\/armbian.com\/\"\u003eArmbian\u003c\/a\u003e\u003c\/strong\u003e \u003cstrong\u003epre-installed\u003c\/strong\u003e for a fast out-of-the-box experience.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eWith the help of Armbian, we are able to provide long-term maintained system images, security updates, encrypted OS options, and OTA upgrade support for production-ready deployment.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/c0b2c142-9f09-4702-9e4f-7b3f2a1edadf.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eIt also supports multiple operating systems through the Rockchip ecosystem, giving developers more flexibility across different projects, Ubuntu, Android, Debian.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeature 7: Simultaneous 3-Display Output with 8K Video Capability\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe reComputer RK3576 Series supports \u003cstrong\u003esimultaneous 3-display output\u003c\/strong\u003e, giving developers more flexibility for digital signage, control centers, smart retail, and multimedia systems.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eSupported output interfaces include:\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eHDMI | \u003c\/strong\u003e\u003cstrong style=\"font-size: 0.875rem;\"\u003eMIPI DSI | \u003c\/strong\u003e\u003cstrong style=\"font-size: 0.875rem;\"\u003eType-C (DP Alt Mode)\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eIt also offers strong multimedia capabilities:\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eUp to \u003cstrong\u003e4K@60fps\u003c\/strong\u003e video encoding with \u003cstrong\u003eH.265 \/ H.264\u003cbr\u003e\u003c\/strong\u003eUp to \u003cstrong\u003e8K@30fps\u003c\/strong\u003e video decoding with \u003cstrong\u003eH.265 \/ H.264 \/ AV1 \/ AVS2\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThis makes it ideal for high-resolution AI vision and multimedia applications.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eTechnical Specifications\u003c\/h2\u003e\n\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\" style=\"width: 100%; height: 901.313px;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003cth style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 33.343%; height: 19.5938px;\"\u003e\u003cstrong\u003ereComputer RK3576\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 34.2753%; height: 19.5938px;\"\u003e\u003cstrong\u003ereComputer RK3588\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 39.1875px;\"\u003eSKU\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 39.1875px;\"\u003e4GB RAM：100062096\u003cbr\u003e8GB RAM：100052518\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 39.1875px;\"\u003e8GB RAM：100071234\u003cbr\u003e16GB RAM：100086238\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 39.1875px;\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 39.1875px;\"\u003e4x Cortex-A72@2.2GHz\u003cbr\u003e4x Cortex-A53@2.0GHz\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 39.1875px;\"\u003e4x Cortex-A76@2.4GHz\u003cbr\u003e4x Cortex-A55@1.8GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eGPU\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 19.5938px;\"\u003eARM Mali-G52 MC3\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 19.5938px;\"\u003eARM Mali-G610 MC4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 39.1875px;\"\u003eNPU\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 67.6183%; height: 39.1875px;\"\u003eINT8@6TOPS; Supporting INT4\/8\/16\/FP16\/BF16\/TF32 mixed operations\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eOperating System\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 67.6183%; height: 19.5938px;\"\u003eDebian 12\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eRAM\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 19.5938px;\"\u003eLPDDR5: 4GB\/8GB\/16GB\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 19.5938px;\"\u003eLPDDR5: 8GB\/16GB\/32GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003ePower Input\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 67.6183%; height: 19.5938px;\"\u003e9V-19VDC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 39.1875px;\"\u003ePoE (as powered device)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 39.1875px;\"\u003e1x PoE PD\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 39.1875px;\"\u003e1x PoE PD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eButton\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 67.6183%; height: 19.5938px;\"\u003e1x Power; 1x Recovery; 1x MaskROM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 58.7812px;\"\u003eEthernet\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 58.7812px;\"\u003e1x Gigabit Ethernet\u003cbr\u003e1x Gigabit Ethernet with PoE support*\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 58.7812px;\"\u003e1x 2.5 Gigabit Ethernet\u003cbr\u003e1x 2.5 Gigabit Ethernet with PoE support*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 58.7812px;\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 58.7812px;\"\u003e1x Type A USB 3.0\u003cbr\u003e3x Type A USB 2.0\u003cbr\u003e1x Type C for OTG \u0026amp; DP\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 58.7812px;\"\u003e4x Type A USB 3.0\u003cbr\u003e1x Type C for OTG \u0026amp; DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 39.1875px;\"\u003eHDMI\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 39.1875px;\"\u003e1x HDMI 2.0\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 39.1875px;\"\u003e2x HDMI 2.1;1x HDMI 2.0 Input\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eSIM Card\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 67.6183%; height: 19.5938px;\"\u003e1x nano SIM Card Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eSD Card\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 67.6183%; height: 19.5938px;\"\u003e1 x microSD card slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.375px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 78.375px;\"\u003eSSD Card\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 78.375px;\"\u003ePCle2.1x 1 for NVMe SSD or Al Accelerator\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 78.375px;\"\u003ePCle3.0x 4 for NVMe SSD or Al Accelerator\u003cbr\u003ePCle2.1x 1for NVMe SSD or Al Accelerator\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eLED\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 67.6183%; height: 19.5938px;\"\u003e1x Power; 1x Status; 1x User\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eBuzzer\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eWi-Fi\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"2\" style=\"text-align: center; width: 67.6183%; height: 39.1876px;\"\u003eOnboard WiFi6 \u0026amp; BT5.4 with FPC Antenna\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eBLE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eLoRa\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 19.5938px;\"\u003eUSB LoRa®*\/SPI LoRa®*\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 19.5938px;\"\u003eUSB LoRa®*\/SPI LoRa®*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003e4G\/5G Cellular\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 19.5938px;\"\u003e4G LTE*\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 19.5938px;\"\u003e4G LTE*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eCertification\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 67.6183%; height: 19.5938px;\"\u003eFCC\/CE\/TELEC\/RoHS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 39.1875px;\"\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 39.1875px;\"\u003e0~60°C\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 39.1875px;\"\u003e0~55°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 39.1875px;\"\u003eStorage Temperature\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 39.1875px;\"\u003e-20~90 °C\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 39.1875px;\"\u003e-20~90 °C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 39.1875px;\"\u003eOperating Humidity\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 39.1875px;\"\u003e10~95% RH\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 39.1875px;\"\u003e10~95% RH\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eRTC\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 33.343%; height: 19.5938px;\"\u003e1x 2PIN\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 34.2753%; height: 19.5938px;\"\u003e1x 2PIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eHeat Dissipation\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 67.6183%; height: 19.5938px;\"\u003eHeatsink with Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 39.1875px;\"\u003eEnclosure Material\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 67.6183%; height: 39.1875px;\"\u003eABS Plastic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 23.3282%; height: 19.5938px;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 67.6183%; height: 19.5938px;\"\u003e1 year\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHardware Overview\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/3576_.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eApplication\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/_application.jpg\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eCheck More Demos on \u003ca data-lark-is-custom=\"true\" href=\"https:\/\/sensecraft.seeed.cc\/ai-lab\"\u003ereComputer AI lab\u003c\/a\u003e.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/9b00636e-27e4-48dd-9b38-00a2e503faad.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDocuments\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer_RK35XX_Series_Flyer.pdf\" rel=\"noopener\" target=\"_blank\"\u003ereComputer RK35XX Series Flyer\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer_RK\/Documents\/recomputer_rk3576\/RECOMPUTER%20RK3576_V1.0_SCH_2026.pdf\"\u003ereComputer RK3576 Schematic\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer_RK\/Documents\/recomputer_rk3576\/recomputer_rk3576_top_cover_abs.stp\"\u003erecomputer_rk3576 Top Cover ABS\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer_RK\/Documents\/recomputer_rk3576\/recomputer_rk3576_bottom_cover_abs.stp\"\u003erecomputer_rk3576 Bottom Cover ABS\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer_RK\/Documents\/recomputer_rk3576\/recomputer_rk3576_user_manual.pdf\"\u003ereComputer RK3576 User Manual\u003cbr\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePart List\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 70.3112%; text-align: center;\"\u003ereComputer RK3576-20\u003c\/td\u003e\n\u003ctd style=\"width: 29.2721%; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 70.3112%; text-align: center;\"\u003e12V\/3A Power Adapter (with 1x US\/EU\/UK\/AU Plugs)\u003c\/td\u003e\n\u003ctd style=\"width: 29.2721%; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 70.3112%; text-align: center;\"\u003e32GB microSD Card\u003c\/td\u003e\n\u003ctd style=\"width: 29.2721%; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 70.3112%; text-align: center;\"\u003eUser Manual\u003c\/td\u003e\n\u003ctd style=\"width: 29.2721%; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":53120899055933,"sku":"SBC1171","price":24949.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/2-rk3576_1.jpg?v=1789979760","url":"https:\/\/thinkrobotics.com\/products\/recomputer-rk3576-20-open-rockchip-ai-box-for-ai-development","provider":"ThinkRobotics.com","version":"1.0","type":"link"}