reComputer J20-series are compact edge computers built with NVIDIA advanced AI embedded systems: Jetson Xavier NX and Seeed reference carrier board (J202).

With  rich  extension  modules,  industrial  peripherals,  thermal  management  combined with  decades  of  Seeed’s  hardware  expertise,  reComputer  Jetson  is  ready  to  help  you accelerate and scale the next-gen AI product emerging diverse AI scenarios

reComputer J2021 is a powerful and compact intelligent edge box to bring up to 21TOPS modern AI performance to the edge. The full system includes the same form factor carrier board as the Jetson NX Developer Kit, one Jetson Xavier NX production module, a heatsink, and a power adapter. reComputer J2021 is preinstalled with Jetpack 4.6.1, simplifies development, and fit 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.

J2021 is a hand-size edge AI box built with Jetson Xavier NX 8GB module which delivers up to 21 TOPs AI performance, rich set of IOs including USB 3.1 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on, aluminum case, cooling fan, pre-installed JetPack System, as NVIDIA Jetson Xavier NX Dev Kit alternative, ready for your next AI application development and deployment.

reComputer J2021 built with Jetson Xavier NX module supports alwaysAI Accelerated Edge Deployment. You can train a brand new custom model just in hours, or you can even use choose one of 130+ pre-trained models from the always dashboard, deploy it to edge devices, and build a computer vision application within minutes! alwaysAI removes barriers to machine learning expertise requirements and makes creating computer vision apps easy, fast and effective.

With the deployment engine, you can OTA containerization and device monitoring in production mode, Run the application in offline mode and Auto-start the application on boot.

With an extensive library of Python APIs, you can also customize any AI application, and also push real-time analytics to platforms such as Data Lakes and BI tools for further data visualization.