{"product_id":"recomputer-rk3588-30-open-rockchip-ai-box-tailored-for-ai-application-development-ss100071234","title":"reComputer RK3588-30 | Open Rockchip AI Box tailored for AI Application Development","description":"\u003cdiv\u003eThis product is more than an open-source 8-core Linux AI box. Built on the powerful \u003cstrong\u003eRockchip RK3588\u003c\/strong\u003e\u003cstrong\u003e 8GB \u003c\/strong\u003e\u003cstrong\u003eRAM\u003c\/strong\u003e, it is designed to make edge AI development and deployment faster and easier.\u003c\/div\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003cdiv\u003eTo improve the developer experience, Seeed offers \u003cstrong\u003e\u003ca 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\u003e, \u003c\/strong\u003e\u003cstrong\u003eLLM\u003c\/strong\u003e\u003cstrong\u003e, VLM, STT, and \u003c\/strong\u003e\u003cstrong\u003eTTS\u003c\/strong\u003e, interactive tutorials, deployment tools, containerized applications, and community projects to speed up development on Rockchip.\u003c\/div\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003cdiv\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\/div\u003e\n\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/iStTz_NzJ2c?si=BicC3YYWQW3AxhOG\" width=\"560\" height=\"315\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/09d826c7-3701-4f80-b8f4-6526ef2a6bf8.png\" alt=\"\" width=\"847\" height=\"1200\"\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"heading-1 ace-line old-record-id-JwVmdG2ECo3na0xsiplcIt9jn2f\"\u003eFeature 1：Based on Powerful RK3588 Processor\u003c\/h2\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-Aaaqd6VytoBfDhxwbzccpfmLn5d\"\u003eThe reComputer RK3588 features an advanced CPU architecture with\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e4 × Cortex-A76 @2.4GHz\u003c\/li\u003e\n\u003cli\u003e4 × Cortex-A55 @1.8GHz\u003c\/li\u003e\n\u003cli\u003eLPDDR5 （8GB\/16GB\/32GB）\u003c\/li\u003e\n\u003cli\u003eARM Mali GPU-G610 MC4\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 class=\"heading-1 ace-line old-record-id-BUPudvCrpoRurpx6FfOc6f8Hnfj\"\u003eFeature 2：6 TOPS NPU Embedded\u003c\/h2\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-VuatdCg6ooZSO8xNgzYcHaFKnxd\"\u003eWith a built-in \u003cstrong\u003e6 TOPS \u003c\/strong\u003e\u003cstrong\u003eNPU\u003c\/strong\u003e, it delivers efficient AI inference directly on the device, reducing latency and enhancing privacy without relying on the cloud.\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-R05pdCYbToF3qqxM4kEc4XuLnqd\"\u003eAI performance highlights include:\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003eVision CNN: YOLO11@60FPS(640*640)\u003c\/li\u003e\n\u003cli\u003eLLM: capable for deepseek-r1-distill-qwen 7b support\u003c\/li\u003e\n\u003cli\u003eVLM: capable for qwen2.5-vl 3b\u003c\/li\u003e\n\u003cli\u003eSTT: whisper_base_20s (RTF 0.215) with real-time processing support\u003c\/li\u003e\n\u003cli\u003eTTS：mms_tts_eng_200 （RTF 0.069) with real-time processing support\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-WxxzdgLK1ooRunxaldUcNAP2nRf\"\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\/div\u003e\n\u003ch2 class=\"heading-1 ace-line old-record-id-B2OSdNjdyoRdVBxzDn2crQmInPe\"\u003eFeature 3：Compute Power \u0026amp; Storage \u0026amp; Wireless Connectivity Expandable\u003c\/h2\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-E5fhd2wKYoAQ3oxXxyscXmpfn7d\"\u003eIt offers flexible expansion through\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-SoGBdDOqpoGjwXxM00wcy1dSnZc\"\u003ea) 2 × M.2 M Key: PCIe 3.0 x4 and PCIe 2.1 x1, supports SSD expansion and AI accelerators such as Hailo and Rockchip， up to 26TOPS\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-CVCNdaCJ6oDwaVxVwMlcTJ7HnLd\"\u003eb) 1 x miniPCIe for wireless expansion, like 4G LTE, LoRaWAN, Wi-Fi HaLow\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-CVCNdaCJ6oDwaVxVwMlcTJ7HnLd\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/913904e2-7636-4a5a-beb4-0a545bec5cd1.png\" alt=\"\" width=\"1280\" height=\"638\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-CVCNdaCJ6oDwaVxVwMlcTJ7HnLd\"\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"heading-1 ace-line old-record-id-R6d3dNdSkoofigx89uPcE1BhnJe\"\u003eFeature 4：Broad Model \u0026amp; Framework Support\u003c\/h2\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-PhKSdDpxvo36fFxXYaOclbLtn0e\"\u003eIt also supports a wide range of popular AI models, From \u003cstrong\u003ecomputer vision\u003c\/strong\u003e and \u003cstrong\u003espeech \u003c\/strong\u003eto \u003cstrong\u003eLLM-powered edge intelligence\u003c\/strong\u003e, including: YOLO, MobileNet V2, RetinaFace, CLIP, Whisper, DeepSeek-R1, Qwen2-VL，...................\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-UCeOdzzeToILYbxFX54cXbHFnyd\"\u003e\n\u003cstrong\u003eFramework support includes:\u003c\/strong\u003e ONNX, PyTorch, TensorFlow, TensorFlow Lite, Caffe, Darknet，...................\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-QwM7d5LCHoWrgQxOuAxcM0xIngd\"\u003e\n\u003cstrong\u003eToolchain support:\u003c\/strong\u003e RKNN-Toolkit2\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-JPR2dDHjuobtYsxDO2tcHhE1nkb\"\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\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-JPR2dDHjuobtYsxDO2tcHhE1nkb\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/cd050748-2016-413f-bcd8-2f92465500a9.png\" alt=\"\" width=\"1280\" height=\"638\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-JPR2dDHjuobtYsxDO2tcHhE1nkb\"\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"heading-1 ace-line old-record-id-Nh8fdiGlHojZvqxZI6McnMpenhd\"\u003eFeature 5：Get Started in Seconds with reComputer AI Lab\u003c\/h2\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-H7Kvdr0hCoKbIXxRR02cMXCsnDg\"\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 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\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-Cik7dX4kEonG94x0DTOcTx86nTd\"\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\u003cstrong\u003e, and NVIDIA Jetson\u003c\/strong\u003e platforms.\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-U7xgdzWYyokJb9xYTwNc0sL3n0e\"\u003eFor Rockchip users, reComputer AI Lab includes ：\u003c\/div\u003e\n\u003col\u003e\n\u003cli\u003e\u003cstrong\u003eReady-to-Use Models\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-MVjcdXJvqoVcMMxjcPNc50hbnWh\"\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\/div\u003e\n\u003col\u003e\n\u003cli\u003e\u003cstrong\u003eOne-Command Deployment Tools\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-WO6Zdjc4poZazzxBJACchxtkn4d\"\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\u003c\/strong\u003e\u003cstrong\u003e to NPU deployment\u003c\/strong\u003e in just minutes, making AI application deployment faster and easier.\u003c\/div\u003e\n\u003col\u003e\n\u003cli\u003e\u003cstrong\u003eComprehensive Tutorials, Projects, and Community\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-L4rndtomJoqcisxF7vJc1gzWn8g\"\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\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-L4rndtomJoqcisxF7vJc1gzWn8g\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/3438e6dd-ff74-4468-8d97-5a526b76050f.png\" alt=\"\" width=\"1280\" height=\"708\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-L4rndtomJoqcisxF7vJc1gzWn8g\"\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"heading-1 ace-line old-record-id-KaUpdKvrEoI8Aox6eDxcKW5Vn8c\"\u003eFeature 6： Pre-installed Armbian and Multi-OS\u003c\/h2\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-O0KjdWHGUoHEXnxT7X1corCRnKb\"\u003eThe device comes with \u003cstrong\u003e\u003ca href=\"https:\/\/armbian.com\/\"\u003eArmbian\u003c\/a\u003e\u003c\/strong\u003e\u003cstrong\u003e pre-installed\u003c\/strong\u003e for a fast out-of-the-box experience.\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-B1Tod7WEIoDWf5xyeaqcofnWnhe\"\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\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-B1Tod7WEIoDWf5xyeaqcofnWnhe\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/c0b2c142-9f09-4702-9e4f-7b3f2a1edadf.png\" alt=\"\" width=\"1280\" height=\"732\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-B1Tod7WEIoDWf5xyeaqcofnWnhe\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-AZpPdkFdgoHoHoxEjHbcxpIenne\"\u003eIt also supports multiple operating systems through the Rockchip ecosystem, giving developers more flexibility across different projects, Ubuntu, Android, Debian.\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-AkGvdtujxoGMoNxnrwZclV56nTZ\"\u003e \u003c\/div\u003e\n\u003ch2 class=\"heading-1 ace-line old-record-id-XY6LdEYNrozsn6xNGYgcNvXYnQd\"\u003eFeature 7：Simultaneous 4-Display Output with 8K Video Capability\u003c\/h2\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-Wi1zdlJrUoaYR1x8pCrci0rPnVb\"\u003eThe reComputer RK35xx Series supports \u003cstrong\u003esimultaneous 4-display output\u003c\/strong\u003e, giving developers more flexibility for digital signage, control centers, smart retail, and multimedia systems.\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-G2C7dRuqKoX4CXxG8akcuED2nWb\"\u003eSupported output interfaces include:\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eHDMI\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMIPI\u003c\/strong\u003e\u003cstrong\u003e DSI\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eType-C\u003c\/strong\u003e\u003cstrong\u003e (\u003c\/strong\u003e\u003cstrong\u003eDP\u003c\/strong\u003e\u003cstrong\u003e Alt Mode)\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-UzomdPhCqoAfKXxO5jPcuN2Jnrg\"\u003eIt also offers strong multimedia capabilities:\u003c\/div\u003e\n\u003cul\u003e\n\u003cli\u003eUp to \u003cstrong\u003e8K@30fps\u003c\/strong\u003e video encoding with \u003cstrong\u003eH.265\u003c\/strong\u003e\u003cstrong\u003e \/ \u003c\/strong\u003e\u003cstrong\u003eH.264\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eUp to \u003cstrong\u003e8K@60fps\u003c\/strong\u003e video decoding with \u003cstrong\u003eH.265\u003c\/strong\u003e\u003cstrong\u003e \/ \u003c\/strong\u003e\u003cstrong\u003eH.264\u003c\/strong\u003e\u003cstrong\u003e \/ \u003c\/strong\u003e\u003cstrong\u003eAV1\u003c\/strong\u003e\u003cstrong\u003e \/ AVS2\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-XMmHdhDzgoGcZGx1G5Hc0szGnBb\"\u003eThis makes it ideal for high-resolution AI vision and multimedia applications.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ctable\u003e\n\u003ccolgroup\u003e \u003ccol width=\"141\"\u003e \u003ccol width=\"402\"\u003e \u003ccol width=\"448\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e \u003c\/td\u003e\n\u003ctd\u003ereComputer RK3576\u003c\/td\u003e\n\u003ctd\u003ereComputer RK3588\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSKU\u003c\/td\u003e\n\u003ctd\u003e4GB RAM：100062096\u003cbr\u003e8GB RAM：100052518\u003c\/td\u003e\n\u003ctd\u003e8GB RAM：100071234\u003cbr\u003e16GB RAM：100086238\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e4x Cortex-A72@2.2GHz\u003cbr\u003e4x Cortex-A53@2.0GHz\u003c\/td\u003e\n\u003ctd\u003e4x Cortex-A76@2.4GHz\u003cbr\u003e4x Cortex-A55@1.8GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eARM Mali-G52 MC3\u003c\/td\u003e\n\u003ctd\u003eARM Mali-G610 MC4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNPU\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eINT8@6TOPS; Supporting INT4\/8\/16\/FP16\/BF16\/TF32 mixed operations\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eDebian 12\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003eLPDDR5: 4GB\/8GB\/16GB\u003c\/td\u003e\n\u003ctd\u003eLPDDR5: 8GB\/16GB\/32GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Input\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e9V-19VDC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoE (as powered device)\u003c\/td\u003e\n\u003ctd\u003e1x PoE PD\u003c\/td\u003e\n\u003ctd\u003e1x PoE PD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eButton\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x Power; 1x Recovery; 1x MaskROM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e1x Gigabit Ethernet\u003cbr\u003e1x Gigabit Ethernet with PoE support*\u003c\/td\u003e\n\u003ctd\u003e1x 2.5 Gigabit Ethernet\u003cbr\u003e1x 2.5 Gigabit Ethernet with PoE support*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\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\u003e4x Type A USB 3.0\u003cbr\u003e1x Type C for OTG \u0026amp; DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDMI\u003c\/td\u003e\n\u003ctd\u003e2x HDMI 2.0\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSIM Card\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x nano SIM Card Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSD Card\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1 x microSD card slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSSD Card\u003c\/td\u003e\n\u003ctd\u003ePCle2.1x 1 for NVMe SSD or Al Accelerator\u003c\/td\u003e\n\u003ctd\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\u003e\n\u003ctd\u003eLED\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x Power; 1x Status; 1x User\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBuzzer\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWi-Fi\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"2\"\u003eOnboard WiFi6 \u0026amp; BT5.4 with FPC Antenna\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBLE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLoRa\u003c\/td\u003e\n\u003ctd\u003eUSB LoRa®*\/SPI LoRa®*\u003c\/td\u003e\n\u003ctd\u003eUSB LoRa®*\/SPI LoRa®*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4G\/5G Cellular\u003c\/td\u003e\n\u003ctd\u003e4G LTE*\u003c\/td\u003e\n\u003ctd\u003e4G LTE*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertification\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eFCC\/CE\/TELEC\/RoHS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd\u003e0~60°C\u003c\/td\u003e\n\u003ctd\u003e0~55°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage Temperature\u003c\/td\u003e\n\u003ctd\u003e-20~90 °C\u003c\/td\u003e\n\u003ctd\u003e-20~90 °C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Humidity\u003c\/td\u003e\n\u003ctd\u003e10~95% RH\u003c\/td\u003e\n\u003ctd\u003e10~95% RH\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e1x 2PIN\u003c\/td\u003e\n\u003ctd\u003e1x 2PIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHeat Dissipation\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eHeatsink with Fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1 year\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-HwEhdR4LIozL2ixYfFMc6U1MnFf\"\u003eCheck More Demos on\u003ca href=\"https:\/\/sensecraft.seeed.cc\/ai-lab\"\u003e reComputer AI lab\u003c\/a\u003e.\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-HwEhdR4LIozL2ixYfFMc6U1MnFf\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/9b00636e-27e4-48dd-9b38-00a2e503faad.png\" alt=\"\" width=\"1215\" height=\"1200\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\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\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003ctable class=\"ace-table\"\u003e\n\u003ccolgroup\u003e \u003ccol width=\"375\"\u003e \u003ccol width=\"170\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\"\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-RwUTdOEDloG88yxSDmycXwgonFg\"\u003ereComputer RK3588-30\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\"\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-JU5Ed7wajoO3N9xZnoRc4xrpnhc\"\u003ex1\u003c\/div\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\"\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-SMKwdAZY8o0rOaxL3wscFY4fnab\"\u003e12V\/3A Power Adapter (with 1x US\/EU\/UK\/AU Plugs)\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\"\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-LIndd5xOeoeaoJxraqjcmuc1nag\"\u003ex1\u003c\/div\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\"\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-VLH0dNUumo7cpYxiASBc3RRwnMg\"\u003e32GB microSD Card\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\"\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-XaETdwPKCoqdPTxlzhncTz1Onpe\"\u003ex1\u003c\/div\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\"\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-ZWv0dn8cSoTcLhx1vwCcYCddnvb\"\u003eUser Manual\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\"\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-O3G2d1QJoooYDlxS1A5cpJ2dnVg\"\u003ex1\u003c\/div\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv class=\"certification\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ctable class=\"table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"name\"\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eCHINA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable class=\"table\"\u003e\n\u003ctbody\u003e\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003cbr\u003eArray\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":42416949854290,"sku":"SS100071234","price":564.0,"currency_code":"NZD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0735\/0383\/files\/2-3588__1.png?v=1779390890","url":"https:\/\/www.pakronics.co.nz\/products\/recomputer-rk3588-30-open-rockchip-ai-box-tailored-for-ai-application-development-ss100071234","provider":"Pakronics®","version":"1.0","type":"link"}