Name: ThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 16GB module (J4012)
Brand: Seeed Studio
SKU: SBC1045
Price: 95999.99 INR
Availability: InStock

{"id":8178769264957,"title":"ThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 16GB module (J4012)","handle":"j4012-edge-ai-device-with-nvidia-jetson-orin™-nx-16gb-module","description":"\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch1 class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003eThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 16GB module (J4012)\u003c\/h1\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eThinkRobotics Edge AI Device is built with Jetson Orin NX 16GB - a powerful and compact intelligent edge box to bring up to 100 TOPS modern AI performance to the edge, which offers up to 5X the performance of Jetson Xavier NX and up to 3X the performance of Jetson AGX Xavier. Combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, Orin NX integrates advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe full system includes one NVIDIA Jetson Orin™ NX 16GB production module, \u003cmeta charset=\"utf-8\"\u003eSEEED Studio reComputer \u003ca href=\"https:\/\/thinkrobotics.com\/products\/recomputer-j401-carrier-board-for-jetson-orin-nx-and-nano\" target=\"_blank\"\u003eJ401 carrier board\u003c\/a\u003e, a \u003ca href=\"https:\/\/thinkrobotics.com\/products\/official-cooling-fan-for-jetson-orin-online\" target=\"_blank\"\u003eheatsink\u003c\/a\u003e, \u003ca href=\"https:\/\/thinkrobotics.com\/products\/aw-cb375nf-dual-band-wireless-nic-wifi5\" target=\"_blank\"\u003eAW-CB375NF Dual-Band Wireless NIC WiFi5 module\u003c\/a\u003e, a power adapter installed in a 3D printed carbon fiber case. The device is preinstalled with JetPack 5.1 on the included 240GB NVMe SSD, simplifies development, and fits for deployment for edge AI solution providers working in video analytics, object detection, natural language processing, medical imaging, and robotics across industries of smart cities, security, industrial automation, smart factories.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eBrilliant AI Performance for production:\u003c\/strong\u003e on-device processing with up to 100 TOPS AI performance with low power and low latency\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eHand-size edge AI device:\u003c\/strong\u003e compact size at 130mm x120mm x 58.5mm, includes NVIDIA Jetson Orin™ NX 16GB production module, a cooling fan with a heatsink, enclosure, and a power adapter. Support desktop, wall mount, fit in anywhere\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eExpandable with rich I\/Os:\u003c\/strong\u003e 4x USB 3.2, HDMI 2.1, 2xCSI, 1xRJ45 for GbE, M.2 Key E, M.2 Key M, CAN, and GPIO.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eAccelerate solution to market:\u003c\/strong\u003e pre-installed Jetpack with NVIDIA JetPack™ 5.1 on the included 128GB NVMe SSD, Linux OS BSP, 128GB SSD, support Jetson software and leading AI frameworks and software platforms\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eComprehensive certificates:\u003c\/strong\u003e FCC, CE, RoHS\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDescription\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eWith rich extension modules, industrial peripherals, and thermal management, reComputer for Jetson is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP).\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eAt Seeed Studio, you will find everything you want to work with the NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, edge devices, as well as accessories.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eSEEED Studio has prepared abundant \u003ca href=\"https:\/\/wiki.seeedstudio.com\/Jetson-AI-developer-tools\/\" target=\"_blank\"\u003eguides\u003c\/a\u003e to get started with NVIDIA Jetson using leading AI frameworks and software. For example, with \u003ca href=\"https:\/\/wiki.seeedstudio.com\/YOLOv5-Object-Detection-Jetson\/\" target=\"_blank\"\u003eDeepstream and TensorRT\u003c\/a\u003e, developers can deploy custom YOLOv5 models on Jetson Orin at over 100FPS\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDevelopers Tools\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003ePre-installed Jetpack for fast development and edge AI integration\u003c\/h3\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" target=\"_blank\"\u003eJetson software stack\u003c\/a\u003e begins with NVIDIA JetPack™ SDK which provides a full development environment and includes CUDA-X accelerated libraries and other NVIDIA technologies to kickstart your development. JetPack includes the Jetson Linux Driver package which provides the Linux kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem, and toolchains for the Jetson platform. It also includes security features, over-the-air update capabilities, and much more.\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/image8.png\" alt=\"\" style=\"float: none;\" data-mce-style=\"float: none;\"\u003e\u003c\/div\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eComputer Vision and embedded machine learning\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/developer.nvidia.com\/deepstream-sdk\" target=\"_blank\"\u003eNVIDIA DeepStream SDK\u003c\/a\u003e delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/developer.nvidia.com\/tao-toolkit\" target=\"_blank\"\u003eNVIDIA TAO tool kit\u003c\/a\u003e, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/alwaysai.co\/blog\/getting-started-with-the-jetson-nano-using-alwaysai\" target=\"_blank\"\u003ealwaysAI\u003c\/a\u003e: build, train, and deploy computer vision applications directly at the edge of reComputer. Get free access to 100+ pre-trained Computer Vision Models and train custom AI models in the cloud in a few clicks via enterprise subscription. Check out our \u003ca href=\"https:\/\/wiki.seeedstudio.com\/alwaysAI-Jetson-Getting-Started\/#object-detection-on-pre-loaded-video-file\" target=\"_blank\"\u003ewiki\u003c\/a\u003e guide to get started with alwaysAI.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/www.edgeimpulse.com\/\" target=\"_blank\"\u003eEdge Impulse\u003c\/a\u003e: the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/blog.roboflow.com\/deploy-to-nvidia-jetson\/\" target=\"_blank\"\u003eRoboflow\u003c\/a\u003e provides tools to convert raw images into a custom-trained computer vision model of object detection and classification and deploy the model for use in applications. See the \u003ca href=\"https:\/\/docs.roboflow.com\/inference\/nvidia-jetson\" target=\"_blank\"\u003efull documentation\u003c\/a\u003e for deploying to NVIDIA Jetson with Roboflow.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/github.com\/ultralytics\/yolov5\" target=\"_blank\"\u003eYOLOv5 by Ultralytics\u003c\/a\u003e: use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step \u003ca href=\"https:\/\/wiki.seeedstudio.com\/YOLOv5-Object-Detection-Jetson\/\" target=\"_blank\"\u003ewiki \u003c\/a\u003etutorials\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/deci.ai\/blog\/jetson-machine-learning-inference\/\" target=\"_blank\"\u003eDeci\u003c\/a\u003e: optimize your models on NVIDIA Jetson Nano. Check the \u003ca href=\"https:\/\/info.deci.ai\/benchmark-optimize-runtime-performance-nvidia-jetson\" target=\"_blank\"\u003ewebinar\u003c\/a\u003e at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eSpeech AI\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/riva\" target=\"_blank\"\u003eNVIDIA® Riva\u003c\/a\u003e is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 class=\"document\"\u003eRemote Fleet Management\u003c\/h3\u003e\n\u003cp dir=\"ltr\"\u003eEnable secure OTA and remote device management with \u003ca href=\"https:\/\/www.allxon.com\/\" target=\"_blank\"\u003eAllxon\u003c\/a\u003e. Unlock 90 days free trial with code H4U-NMW-CPK.\u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eRobot and ROS Development\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eNVIDIA Isaac ROS GEMs are hardware-accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware. Learn more about \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" target=\"_blank\"\u003eNVIDIA Developer Tools\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003ca href=\"https:\/\/www.cogniteam.com\/nimbus\" target=\"_blank\"\u003eCogniteam Nimbus\u003c\/a\u003e is a cloud-based solution that allows developers to manage autonomous robots more effectively. Nimbus platform supports NVIDIA® Jetson™ and ISAAC SDK and GEMs out-of-the-box. Check out our \u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/04\/21\/webinar-connect-your-ros-project-to-the-cloud-with-nimbus\/\" target=\"_blank\"\u003ewebinar\u003c\/a\u003e on connecting your ROS Project to the Cloud with Nimbus.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cdiv class=\"document\" style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eHardware Overview\u003c\/h2\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eInterface-rich reference carrier board\u003c\/h3\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eSeeed carrier board for reComputer J4012 is a high-performance, interface-rich board, providing HDMI 2.1, Gigabit Ethernet, USB 3.2, M.2 key E, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, fan, and other rich peripheral interfaces.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eTake advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capabilities to all your embedded AI and edge systems.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/image1.jpg\" data-src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/image1.jpg\" data-original=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/image1.jpg\" height=\"950\" width=\"950\" class=\"lazy\" style=\"float: none;\" data-mce-style=\"float: none;\"\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch2 style=\"text-align: left;\" data-mce-style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003cbr\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003ePart List\u003c\/h2\u003e\n\u003ctable style=\"width: 60%; margin: auto;\" data-mce-style=\"width: 60%; margin: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr data-style=\"height: 46px;\"\u003e\n\u003ctd style=\"width: 68%;\" data-mce-style=\"width: 68%;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt pap-hanging-indent-1.6em\"\u003eNVDIA Jetson Orin™ NX 16GB\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd data-style=\"width: 7.44036%; height: 46px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-style=\"height: 46px;\"\u003e\n\u003ctd data-style=\"width: 35.7988%; height: 46px;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt pap-hanging-indent-1.6em\"\u003eSeeed carrier board (reComputer J401)\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd data-style=\"width: 7.44036%; height: 46px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-style=\"height: 46px;\"\u003e\n\u003ctd data-style=\"width: 35.7988%; height: 46px;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt pap-hanging-indent-1.6em\"\u003e240GB NVMe SSD\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd data-style=\"width: 7.44036%; height: 46px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-style=\"height: 18px;\"\u003e\n\u003ctd data-style=\"width: 35.7988%; height: 18px;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt pap-hanging-indent-1.6em\"\u003eAluminum heatsink with fan\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd data-style=\"width: 7.44036%; height: 18px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-style=\"height: 18px;\"\u003e\n\u003ctd data-style=\"width: 35.7988%; height: 18px;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt pap-hanging-indent-1.6em\"\u003e\u003cmeta charset=\"utf-8\"\u003e3D printed carbon fiber case\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd data-style=\"width: 7.44036%; height: 18px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-style=\"height: 16px;\"\u003e\n\u003ctd data-style=\"width: 35.7988%; height: 16px;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt pap-hanging-indent-1.6em\"\u003e12V\/6A power adapter\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd data-style=\"width: 7.44036%; height: 16px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2 style=\"text-align: left;\" data-mce-style=\"text-align: left;\"\u003eFAQ\u003c\/h2\u003e\n\u003ch3 style=\"text-align: left;\" data-data-data-style=\"font-weight: bold; margin-top: 10px;\" data-mce-style=\"text-align: left;\"\u003eWhat type of RTC is recommended for RTC socket?\u003c\/h3\u003e\n\u003cp style=\"text-align: left;\" data-data-data-style=\"font-weight: bold; margin-top: 10px;\" data-mce-style=\"text-align: left;\"\u003eCR1220 and ML1220. The non-rechargeable design of the RTC circuit of the carrier board allows both rechargeable and non-rechargeable RTC batteries to be used.\u003c\/p\u003e\n\u003cp style=\"text-align: left;\" data-data-data-style=\"font-weight: bold; margin-top: 10px;\" data-mce-style=\"text-align: left;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: left;\" data-mce-style=\"text-align: left;\"\u003eDocumentations\u003c\/h2\u003e\n\u003cdiv class=\"product documents-tab\"\u003e\n\u003cdiv class=\"value documents-info\"\u003e\n\u003cul\u003e\n\u003cli style=\"text-align: left;\" data-mce-style=\"text-align: left;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer-J401x-datasheet.pdf\" target=\"_blank\"\u003ereComputer J401X Datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"text-align: left;\" data-mce-style=\"text-align: left;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\" target=\"_blank\"\u003eNVIDIA Jetson Devices and carrier boards comparisons\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","published_at":"2023-03-16T04:19:26+05:30","created_at":"2023-03-16T04:19:26+05:30","vendor":"Seeed Studio","type":"","tags":["AGX ORIN","edge ai","jetson xavier","JTSN-KIT","nvidia","nvidia agx","nvidia gpu","nvidia jetson","NVIDIA Jetson Xavier Case","nvidia nx","nx","NX Module","NX SOM","ORIN","ORIN AGX","SEEED","SEEED STUDIO","SEEED-ST","SEEEDSTD","xavier","Xavier NX"],"price":9599999,"price_min":9599999,"price_max":9599999,"available":true,"price_varies":false,"compare_at_price":10999999,"compare_at_price_min":10999999,"compare_at_price_max":10999999,"compare_at_price_varies":false,"variants":[{"id":44809888694589,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"SBC1045","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"ThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 16GB module (J4012)","public_title":null,"options":["Default Title"],"price":9599999,"weight":800,"compare_at_price":10999999,"inventory_management":"shopify","barcode":"44809888694589","requires_selling_plan":false,"selling_plan_allocations":[]}],"images":["\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB1.png?v=1694429663","\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB5.png?v=1694429663","\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB2.png?v=1694429663","\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB4.png?v=1694429661","\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB3.png?v=1694429661"],"featured_image":"\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB1.png?v=1694429663","options":["Title"],"media":[{"alt":null,"id":34860679627069,"position":1,"preview_image":{"aspect_ratio":1.0,"height":1000,"width":1000,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB1.png?v=1694429663"},"aspect_ratio":1.0,"height":1000,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB1.png?v=1694429663","width":1000},{"alt":null,"id":34860679463229,"position":2,"preview_image":{"aspect_ratio":1.0,"height":1000,"width":1000,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB5.png?v=1694429663"},"aspect_ratio":1.0,"height":1000,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB5.png?v=1694429663","width":1000},{"alt":null,"id":34860679594301,"position":3,"preview_image":{"aspect_ratio":1.0,"height":1000,"width":1000,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB2.png?v=1694429663"},"aspect_ratio":1.0,"height":1000,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB2.png?v=1694429663","width":1000},{"alt":null,"id":34860679495997,"position":4,"preview_image":{"aspect_ratio":1.0,"height":1000,"width":1000,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB4.png?v=1694429661"},"aspect_ratio":1.0,"height":1000,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB4.png?v=1694429661","width":1000},{"alt":null,"id":34860679561533,"position":5,"preview_image":{"aspect_ratio":1.0,"height":1000,"width":1000,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB3.png?v=1694429661"},"aspect_ratio":1.0,"height":1000,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/OrinNX16GB3.png?v=1694429661","width":1000}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch1 class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003eThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 16GB module (J4012)\u003c\/h1\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eThinkRobotics Edge AI Device is built with Jetson Orin NX 16GB - a powerful and compact intelligent edge box to bring up to 100 TOPS modern AI performance to the edge, which offers up to 5X the performance of Jetson Xavier NX and up to 3X the performance of Jetson AGX Xavier. Combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, Orin NX integrates advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe full system includes one NVIDIA Jetson Orin™ NX 16GB production module, \u003cmeta charset=\"utf-8\"\u003eSEEED Studio reComputer \u003ca href=\"https:\/\/thinkrobotics.com\/products\/recomputer-j401-carrier-board-for-jetson-orin-nx-and-nano\" target=\"_blank\"\u003eJ401 carrier board\u003c\/a\u003e, a \u003ca href=\"https:\/\/thinkrobotics.com\/products\/official-cooling-fan-for-jetson-orin-online\" target=\"_blank\"\u003eheatsink\u003c\/a\u003e, \u003ca href=\"https:\/\/thinkrobotics.com\/products\/aw-cb375nf-dual-band-wireless-nic-wifi5\" target=\"_blank\"\u003eAW-CB375NF Dual-Band Wireless NIC WiFi5 module\u003c\/a\u003e, a power adapter installed in a 3D printed carbon fiber case. The device is preinstalled with JetPack 5.1 on the included 240GB NVMe SSD, simplifies development, and fits for deployment for edge AI solution providers working in video analytics, object detection, natural language processing, medical imaging, and robotics across industries of smart cities, security, industrial automation, smart factories.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eBrilliant AI Performance for production:\u003c\/strong\u003e on-device processing with up to 100 TOPS AI performance with low power and low latency\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eHand-size edge AI device:\u003c\/strong\u003e compact size at 130mm x120mm x 58.5mm, includes NVIDIA Jetson Orin™ NX 16GB production module, a cooling fan with a heatsink, enclosure, and a power adapter. Support desktop, wall mount, fit in anywhere\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eExpandable with rich I\/Os:\u003c\/strong\u003e 4x USB 3.2, HDMI 2.1, 2xCSI, 1xRJ45 for GbE, M.2 Key E, M.2 Key M, CAN, and GPIO.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eAccelerate solution to market:\u003c\/strong\u003e pre-installed Jetpack with NVIDIA JetPack™ 5.1 on the included 128GB NVMe SSD, Linux OS BSP, 128GB SSD, support Jetson software and leading AI frameworks and software platforms\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003cstrong\u003eComprehensive certificates:\u003c\/strong\u003e FCC, CE, RoHS\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDescription\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eWith rich extension modules, industrial peripherals, and thermal management, reComputer for Jetson is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP).\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eAt Seeed Studio, you will find everything you want to work with the NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, edge devices, as well as accessories.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eSEEED Studio has prepared abundant \u003ca href=\"https:\/\/wiki.seeedstudio.com\/Jetson-AI-developer-tools\/\" target=\"_blank\"\u003eguides\u003c\/a\u003e to get started with NVIDIA Jetson using leading AI frameworks and software. For example, with \u003ca href=\"https:\/\/wiki.seeedstudio.com\/YOLOv5-Object-Detection-Jetson\/\" target=\"_blank\"\u003eDeepstream and TensorRT\u003c\/a\u003e, developers can deploy custom YOLOv5 models on Jetson Orin at over 100FPS\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDevelopers Tools\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003ePre-installed Jetpack for fast development and edge AI integration\u003c\/h3\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" target=\"_blank\"\u003eJetson software stack\u003c\/a\u003e begins with NVIDIA JetPack™ SDK which provides a full development environment and includes CUDA-X accelerated libraries and other NVIDIA technologies to kickstart your development. JetPack includes the Jetson Linux Driver package which provides the Linux kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem, and toolchains for the Jetson platform. It also includes security features, over-the-air update capabilities, and much more.\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/image8.png\" alt=\"\" style=\"float: none;\" data-mce-style=\"float: none;\"\u003e\u003c\/div\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eComputer Vision and embedded machine learning\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/developer.nvidia.com\/deepstream-sdk\" target=\"_blank\"\u003eNVIDIA DeepStream SDK\u003c\/a\u003e delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/developer.nvidia.com\/tao-toolkit\" target=\"_blank\"\u003eNVIDIA TAO tool kit\u003c\/a\u003e, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/alwaysai.co\/blog\/getting-started-with-the-jetson-nano-using-alwaysai\" target=\"_blank\"\u003ealwaysAI\u003c\/a\u003e: build, train, and deploy computer vision applications directly at the edge of reComputer. Get free access to 100+ pre-trained Computer Vision Models and train custom AI models in the cloud in a few clicks via enterprise subscription. Check out our \u003ca href=\"https:\/\/wiki.seeedstudio.com\/alwaysAI-Jetson-Getting-Started\/#object-detection-on-pre-loaded-video-file\" target=\"_blank\"\u003ewiki\u003c\/a\u003e guide to get started with alwaysAI.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/www.edgeimpulse.com\/\" target=\"_blank\"\u003eEdge Impulse\u003c\/a\u003e: the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/blog.roboflow.com\/deploy-to-nvidia-jetson\/\" target=\"_blank\"\u003eRoboflow\u003c\/a\u003e provides tools to convert raw images into a custom-trained computer vision model of object detection and classification and deploy the model for use in applications. See the \u003ca href=\"https:\/\/docs.roboflow.com\/inference\/nvidia-jetson\" target=\"_blank\"\u003efull documentation\u003c\/a\u003e for deploying to NVIDIA Jetson with Roboflow.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/github.com\/ultralytics\/yolov5\" target=\"_blank\"\u003eYOLOv5 by Ultralytics\u003c\/a\u003e: use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step \u003ca href=\"https:\/\/wiki.seeedstudio.com\/YOLOv5-Object-Detection-Jetson\/\" target=\"_blank\"\u003ewiki \u003c\/a\u003etutorials\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca href=\"https:\/\/deci.ai\/blog\/jetson-machine-learning-inference\/\" target=\"_blank\"\u003eDeci\u003c\/a\u003e: optimize your models on NVIDIA Jetson Nano. Check the \u003ca href=\"https:\/\/info.deci.ai\/benchmark-optimize-runtime-performance-nvidia-jetson\" target=\"_blank\"\u003ewebinar\u003c\/a\u003e at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eSpeech AI\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/riva\" target=\"_blank\"\u003eNVIDIA® Riva\u003c\/a\u003e is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 class=\"document\"\u003eRemote Fleet Management\u003c\/h3\u003e\n\u003cp dir=\"ltr\"\u003eEnable secure OTA and remote device management with \u003ca href=\"https:\/\/www.allxon.com\/\" target=\"_blank\"\u003eAllxon\u003c\/a\u003e. Unlock 90 days free trial with code H4U-NMW-CPK.\u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eRobot and ROS Development\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eNVIDIA Isaac ROS GEMs are hardware-accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware. Learn more about \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" target=\"_blank\"\u003eNVIDIA Developer Tools\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\u003ca href=\"https:\/\/www.cogniteam.com\/nimbus\" target=\"_blank\"\u003eCogniteam Nimbus\u003c\/a\u003e is a cloud-based solution that allows developers to manage autonomous robots more effectively. Nimbus platform supports NVIDIA® Jetson™ and ISAAC SDK and GEMs out-of-the-box. Check out our \u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/04\/21\/webinar-connect-your-ros-project-to-the-cloud-with-nimbus\/\" target=\"_blank\"\u003ewebinar\u003c\/a\u003e on connecting your ROS Project to the Cloud with Nimbus.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cdiv class=\"document\" style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eHardware Overview\u003c\/h2\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eInterface-rich reference carrier board\u003c\/h3\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eSeeed carrier board for reComputer J4012 is a high-performance, interface-rich board, providing HDMI 2.1, Gigabit Ethernet, USB 3.2, M.2 key E, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, fan, and other rich peripheral interfaces.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eTake advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capabilities to all your embedded AI and edge systems.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/image1.jpg\" data-src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/image1.jpg\" data-original=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/image1.jpg\" height=\"950\" width=\"950\" class=\"lazy\" style=\"float: none;\" data-mce-style=\"float: none;\"\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch2 style=\"text-align: left;\" data-mce-style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003cbr\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003ePart List\u003c\/h2\u003e\n\u003ctable style=\"width: 60%; margin: auto;\" data-mce-style=\"width: 60%; margin: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr data-style=\"height: 46px;\"\u003e\n\u003ctd style=\"width: 68%;\" data-mce-style=\"width: 68%;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt pap-hanging-indent-1.6em\"\u003eNVDIA Jetson Orin™ NX 16GB\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd data-style=\"width: 7.44036%; height: 46px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-style=\"height: 46px;\"\u003e\n\u003ctd data-style=\"width: 35.7988%; height: 46px;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt pap-hanging-indent-1.6em\"\u003eSeeed carrier board (reComputer J401)\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd data-style=\"width: 7.44036%; height: 46px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-style=\"height: 46px;\"\u003e\n\u003ctd data-style=\"width: 35.7988%; height: 46px;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt pap-hanging-indent-1.6em\"\u003e240GB NVMe SSD\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd data-style=\"width: 7.44036%; height: 46px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-style=\"height: 18px;\"\u003e\n\u003ctd data-style=\"width: 35.7988%; height: 18px;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt pap-hanging-indent-1.6em\"\u003eAluminum heatsink with fan\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd data-style=\"width: 7.44036%; height: 18px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-style=\"height: 18px;\"\u003e\n\u003ctd data-style=\"width: 35.7988%; height: 18px;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt pap-hanging-indent-1.6em\"\u003e\u003cmeta charset=\"utf-8\"\u003e3D printed carbon fiber case\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd data-style=\"width: 7.44036%; height: 18px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-style=\"height: 16px;\"\u003e\n\u003ctd data-style=\"width: 35.7988%; height: 16px;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt pap-hanging-indent-1.6em\"\u003e12V\/6A power adapter\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd data-style=\"width: 7.44036%; height: 16px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2 style=\"text-align: left;\" data-mce-style=\"text-align: left;\"\u003eFAQ\u003c\/h2\u003e\n\u003ch3 style=\"text-align: left;\" data-data-data-style=\"font-weight: bold; margin-top: 10px;\" data-mce-style=\"text-align: left;\"\u003eWhat type of RTC is recommended for RTC socket?\u003c\/h3\u003e\n\u003cp style=\"text-align: left;\" data-data-data-style=\"font-weight: bold; margin-top: 10px;\" data-mce-style=\"text-align: left;\"\u003eCR1220 and ML1220. The non-rechargeable design of the RTC circuit of the carrier board allows both rechargeable and non-rechargeable RTC batteries to be used.\u003c\/p\u003e\n\u003cp style=\"text-align: left;\" data-data-data-style=\"font-weight: bold; margin-top: 10px;\" data-mce-style=\"text-align: left;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: left;\" data-mce-style=\"text-align: left;\"\u003eDocumentations\u003c\/h2\u003e\n\u003cdiv class=\"product documents-tab\"\u003e\n\u003cdiv class=\"value documents-info\"\u003e\n\u003cul\u003e\n\u003cli style=\"text-align: left;\" data-mce-style=\"text-align: left;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer-J401x-datasheet.pdf\" target=\"_blank\"\u003ereComputer J401X Datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli style=\"text-align: left;\" data-mce-style=\"text-align: left;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\" target=\"_blank\"\u003eNVIDIA Jetson Devices and carrier boards comparisons\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e"}

ThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 16GB module (J4012)

ThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 16GB module (J4012)

Features

Description

Developers Tools

Pre-installed Jetpack for fast development and edge AI integration

Computer Vision and embedded machine learning

Speech AI

Remote Fleet Management

Robot and ROS Development

Hardware Overview

Interface-rich reference carrier board

Part List

FAQ

What type of RTC is recommended for RTC socket?

Documentations

Want to buy in bulk?

Customer Reviews

Custom Requirements?

Download the ThinkRobotics Mobile App

We are here to serve you! Reach us at:

Popular Links

Shopping Cart

Let customers speak for us

NVDIA Jetson Orin™ NX 16GB	x1
Seeed carrier board (reComputer J401)	x1
240GB NVMe SSD	x1
Aluminum heatsink with fan	x1
3D printed carbon fiber case	x1
12V/6A power adapter	x1