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# reComputer J2021-Edge AI Device with Jetson Xavier NX 8GB module, 4xUSB, M.2 Key E & Key M Slot, Aluminum case, Pre-installed JetPack System

**Type:** Product page · **SKU:** SS110061381 · **Brand:** [Seeed Studio](https://core-electronics.com.au/brands/seeed-studio-australia)
**Page:** https://core-electronics.com.au/recomputer-j2021-edge-ai-device-with-jetson-xavier-nx-8gb-module-4xusb-m2-key-e-key-m-slot-aluminum-case-pre-installed-jetpack-system.html ([markdown](https://core-electronics.com.au/recomputer-j2021-edge-ai-device-with-jetson-xavier-nx-8gb-module-4xusb-m2-key-e-key-m-slot-aluminum-case-pre-installed-jetpack-system.html.md))

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 Gen...

## Pricing

- **Price:** $1,249.95 (inc GST) — $1,136.32 AUD, exc GST
- **Quantity discounts:** 3+ $1102.23 (exc GST) · 5+ $1079.50 (exc GST)

## Availability & dispatch

- Available with a lead time — expect dispatch between Aug 19 and Aug 21.

## Restrictions

Restrictions apply to this equipment as it uses button/coin cell batteries:

- The equipment is intended to be used in trades, professions or industries
- The equipment is not intended for sale to the general public
- The equipment is not intended to be used where children are present
- You are aware that this equipment may not meet child safety testing requirements as it is not intended to be used by consumers or general public, but rather, is intended to be used in trades, professions or industries in conjunction with the limitations and restrictions listed above
- You are aware that these restrictions are due to a change in [A](https://www.accc.gov.au/media-release/businesses-on-notice-as-mandatory-button-battery-laws-commence)[ustralian legislation in 2022](https://www.accc.gov.au/media-release/businesses-on-notice-as-mandatory-button-battery-laws-commence) for button/coin cell batteries
 
![Button Battery Warning](https://core-electronics.com.au/attachments/uploads/iec-button-battery.png)

A declaration of use will need to be submitted during checkout.

## How to buy

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- **Payment methods, purchase orders, policies and contact details:** https://core-electronics.com.au/llms.txt
## Description

With rich extension modules, industrial peripherals, 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).

**Features**

- **Hand-size edge AI device**: built with Jetson Xavier NX 8GB Production Module, delivering 384 NVIDIA CUDA® cores delivers up to 21 TOPs AI performance with the small form factor of 130mm x120mm x 50mm.
- **NVIDIA Jetson Xavier NX Dev Kit alternative**: the carrier board brings rich IOs including Gigabit Ethernet port, 4 USB 3.1 Gen2 ports, HDMI port, and DP port
- **Pre-installed NVIDIA JetPack**: support entire [Jetson software stack](https://developer.nvidia.com/embedded/develop/software) and various developer tools for building fast and robust AI application provided by Seeed Edge AI partners, helps develop innovative AI solution for manufacturing, logistics, retail, service, agriculture, smart city, healthcare, and life sciences, etc
- **Power-efficient**: as little as 10 watts, delivering high performance, accurate, multi-modal AI inference at the edge.
- **Expandable** with the onboard interfaces and reComputer case, able to mount on the wall with mounting holes on the back.
- Comprehensive certificates: FCC, CE, RoHS(Certification received in early Sept)
 
**AI Beginners learning center**

If you would like to get critical AI skills and dive into deep learning. [NVIDIA’s Deep Learning Institute (DLI)](https://www.nvidia.com/en-us/training/) will be a good choice, which delivers practical, hands-on training and certification in AI at the edge for developers, educators, students, and lifelong learners. You can even earn certificates to demonstrate your understanding of Jetson and AI when you complete these free, open-source courses.

Please also check out Seeed [wiki](https://wiki.seeedstudio.com/reComputer_Jetson_Series_Started_Guide/) guide including getting started with Jetson Nano and also building different projects.

**Developers Tools**

**Pre-installed Jetpack for fast development and edge AI integration**

[Jetson software stack](https://developer.nvidia.com/embedded/develop/software) 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.

**Computer Vision and embedded machine learning**

- [Edge AI no code Vision tool,](https://github.com/Seeed-Studio/node-red-contrib-ml) Seeed latest open-source project for deploying AI application within 3 nodes.
- [NVIDIA DeepStream SDK](https://developer.nvidia.com/deepstream-sdk) delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.
- [NVIDIA TAO tool kit](https://developer.nvidia.com/tao-toolkit), built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training
- [alwaysAI](https://alwaysai.co/blog/getting-started-with-the-jetson-nano-using-alwaysai): 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 [wiki](https://wiki.seeedstudio.com/alwaysAI-Jetson-Getting-Started/#object-detection-on-pre-loaded-video-file) guide to get started with alwaysAI.
- [Edge Impulse](https://www.edgeimpulse.com/): the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud.
- [Roboflow](https://blog.roboflow.com/deploy-to-nvidia-jetson/) 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 [full documentation](https://docs.roboflow.com/inference/nvidia-jetson) for deploying to NVIDIA Jetson with Roboflow.
- [YOLOv5 by Ultralytics](https://github.com/ultralytics/yolov5): use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step [wiki ](https://wiki.seeedstudio.com/YOLOv5-Object-Detection-Jetson/)tutorials
- [Deci](https://deci.ai/blog/jetson-machine-learning-inference/): optimize your models on NVIDIA Jetson Nano. Check [webinar](https://info.deci.ai/benchmark-optimize-runtime-performance-nvidia-jetson) at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices
 
**Speech AI**

- [NVIDIA® Riva](https://developer.nvidia.com/riva) is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.
 
**Robot and ROS Development**

- NVIDIA 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 [NVIDIA Developer Tools](https://developer.nvidia.com/embedded/develop/software)
- [Cogniteam Nimbus](https://www.cogniteam.com/nimbus) 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 [webinar](https://www.seeedstudio.com/blog/2022/04/21/webinar-connect-your-ros-project-to-the-cloud-with-nimbus/) on Connect your ROS Project to the Cloud with Nimbus.
 
**Hardware Overview**

**The interface-rich reference carrier board**

Nearly the same functional design as Jetson Xavier NX Developer Kit

Seeed carrier board for reComputer J2021 is a high-performance, interface rich NVIDIA Jetson Xavier NX compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB 3.1 Gen2, M.2 key E, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, fans, and other rich peripheral interfaces. It has the same functional design and size as the carrier board of [NVIDIA® Jetson Xavier™ NX DEVELOPER KIT](https://developer.nvidia.com/embedded/jetson-xavier-nx-devkit).

Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.

**Desktop, Wall Mount, Expandable or fit in anywhere**

The back screw holes allow you to hang the product as you need. We also provide other editions case like blue, silver, and silver mental, whose stackable structure allows you to stack more middle layers to create rooms very easily.

**Part List**

- 1 x Acrylic Cover
- 1 x Aluminium Frame
- 1 x Jetson Xavier NX module
- 1 x Heatsink
- 1 x Carrier board
- 1 x 12V/5A (Barrel Jack 5.5/2.1mm) Power Adapter (Power cable not included)
 
[**Power cord not included**](https://core-electronics.com.au/1-8m-cloverleaf-c5-appliance-3-pin-2-5a-mains-lead.html)

**We will not include a 3V RTC battery (CR1220)**

Note

- We have already installed JetPack 4.6 system in the reComputer and you can directly use it by powering on.
 
#### Documentations

- [reComputer J202x datasheet.pdf](https://core-electronics.com.au/attachments/localcontent/reComputer-J202x-datasheet_22508dd7f20.pdf)
- [reComputer J202 carrier board datasheet.pdf](https://core-electronics.com.au/attachments/localcontent/reComputer-J202-carrier-board-datasheet_11251e43d5c.pdf)

## Images

- [Product image 1](https://core-electronics.com.au/media/catalog/product/S/S/SS110061381-1.jpg)
