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Jetson SUB Mini PC V2 - Blue with Jetson Xavier NX module, Aluminum case with cooling fan, 128GB SSD, WiFi, Antennas and pre-installed JetPack System


Jetson SUB Mini PC V2 is a hand-size edge AI box built with Jetson Xavier NX module which delivers up to 21 TOPS AI performance and has a reComputer J202 carrier board with rich set of IOs including USB 3.1 ports(4x), HDMI 2.0, M.2 key E for WIFI/ Bluetooth, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin and more. It is also equipped with an aluminum case, a cooling fan with a heatsink, and a pre-installed JetPack System. As part of the NVIDIA Jetson ecosystem, Jetson SUB Mini PC V2 is ready for your next AI application development and deployment.

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PRODUCT DETAILS

Jetson SUB Mini PC V2 is a powerful and compact intelligent PC to bring up to 21 TOPS modern AI performance to the edge. The full system includes one Jetson Xavier NX production module, a reComputer J202 carrier board, a heatsink with a cooling fan, a case and a power adapter, while being the an alternative option for the NVIDIA Jetson Xavier NX Dev Kit. It has a carrier board including USB 3.1 ports(4x), Gigabit Ethernet ,M.2 key E for WiFi/ Bluetooth, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin and more. Jetson SUB Mini PC V2 is preinstalled with Jetpack 5.0.2, simplifies development, and fits for deployment for edge AI solution providers.

Features

  • Fast AI Performance for production: on-device processing with up to 21 TOPS AI performance with low power and low latency.
  • Hand-size edge AI device: compact size at 130mm x120mm x 50mm, includes Jetson Xavier NX production module, a heatsink with a cooling fan, enclosure, and a power adapter.
  • Expandable with rich I/Os: USB 3.1 ports(4x), Gigabit Ethernet ,M.2 key E for WIFI/ Bluetooth, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin and more
  • Accelerate solution to market: pre-installed JetPack 5.0.2, Linux OS BSP, support Jetson software and leading AI frameworks and software platforms

Description

With rich extension modules, industrial peripherals, and thermal management, Jetson SUB Mini PC V2 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).

At 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.

We have prepared abundent guides to get started with NVIDIA Jetson using leading AI frameworks and software. For example, with Deepstream and TensorRT, developers can deploy custom YOLOv5 models on Jetson AGX Orin.

Welcome to check out our free Edge AI partner program. We are looking forward to leveraging local and global resources to accelerate next-gen AI products together with you.

Comparison among Jetson SUB Mini PCs - Blue

Jetson SUB Mini PC V2

Jetson SUB Mini PC-Blue

Module

NVIDIA JETSON XAVIER NX

AI Performance

21 TOPs(INT8)

OS

JetPack 5.0.2

JetPack 4.6

CPU

6-core 64-bit CPU, NVIDIA Carmel ARMv8.2

GPU

384-core NVIDIA Volta GPU

Memory

8 GB 128-bit LPDDR4x 59.7GB/s

Module Storage

16 GB eMMC 5.1

Carrier Board Storage

128GB M.2 NVMe SSD

Wifi

Pre-installed M.2 key E WiFi

Power

12V/5A DC

19V/4.74A DC

Display

1* HDMI / 1* DP

USB

4* USB3.1(USB 2.0 Integrated)

4* USB3.0(USB 2.0 Integrated)

1*USB Type-C

1*Micro USB

Network

1* Gigabit Ethernet

Dimension

130mm x120mm x 50mm

For a more comprehensive overview of the Jetson-powered devices, services that we offer and applications together with other partners, please visit our NVIDIA Jetson Series Catalog.

Hardware Overview

Interface-rich reference carrier board

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 metal, whose stackable structure allows you to stack more middle layers to create rooms very easily.

Developer Tools

Pre-installed Jetpack for fast development and edge AI integration

Jetson software stack 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

  • NVIDIA 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, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training
  • 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 guide to get started with alwaysAI.
  • Edge Impulse: the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud.
  • Roboflow 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 for deploying to NVIDIA Jetson with Roboflow.
  • YOLOv5 by Ultralytics: 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 tutorials
  • Deci: optimize your models on NVIDIA Jetson Nano. Check the webinar at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices

Speech AI

  • NVIDIA® Riva is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.

Remote Fleet Management

Enable secure OTA and remote device management with Allxon. Unlock 90 days free trial with code H4U-NMW-CPK.

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
  • Cogniteam 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 on connecting your ROS Project to the Cloud with Nimbus.

Applications

Jetson Sub Mini PC V2 powered by Xavier NX is ideal for complex AI tasks such as image recognition, object detection, pose estimation, semantic segmentation, video processing, and many more. This makes it suitable to deploy applications in various industries such as retail, robotics, healthcare, agriculture. disaster relief and more.

Note

The top acrylic cover is removable. If you want to add a HAT or Cape on your SBC inside the case, there is no need to re-screw the whole case because the top acrylic layer is designed to be removed easily.


Part List

Jetson Xavier NX module

1

reComputer J202 Carrier board

1

Acrylic Cover

1

Aluminium Frame

1

Heatsink with fan

1

12V/5A(Barrel Jack 5.5/2.1mm) Power Adapter (Power cable not included)

1

Antennas

1

Note

This product only comes with a power adapter, but not a power cord. Please buy EU version or US version of the power cord according to your region. You can also find them inside "Also Add:" at the top of this page. Please buy EU version or US version of the power cord according to your region. You can also find them inside "Also Add:" at the top of this page.

Before using it, you need to open a terminal and execute the following:

1. cd /home/nvidia

2. sudo./ssd extern.sh

to make sure the roof expands to take the unallocated 110GB space.

ECCN/HTS

HSCODE 8471504090
USHSCODE 8471410150
UPC
EUHSCODE 8471800000
COO CHINA

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