Features

• Brilliant AI Performance for production: on-device processing with up to 100 TOPS AI performance with low power and low latency
• Hand-size edge AI device: 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
• Expandable with rich I/Os: 4x USB 3.2, HDMI 2.1, 2xCSI, 1xRJ45 for GbE, M.2 Key E, M.2 Key M, CAN, and GPIO.
• Accelerate solution to market: 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
• Comprehensive certificates: FCC, CE, RoHS, UKCA

Description

Developers 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.

 

Comparison among reComputer J40 and J20 series boards

 

Specifications	reComputer J4011	reComputer J4012	reComputer J2021	reComputer J2022
Module	Jetson Orin NX 8GB	Jetson Orin NX 16GB	Jetson Xavier NX 8GB	Jetson Xavier NX 16GB
AI Performance	70 TOPS	100 TOPS	21 TOPS
GPU	1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores		384-core NVIDIA Volta™ GPU
GPU Max Frequency	765 MHz	918 MHz	1100MHz
CPU	6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3	8-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3	6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3
CPU Max Frequency	2 GHz		1900MHz
Memory	8GB 128-bit LPDDR5 102.4GB/s	16GB 128-bit LPDDR5 102.4GB/s	8 GB 128-bit LPDDR4x @ 59.7GB/s	16 GB 128-bit LPDDR4x 59.7GB/s
DL Accelerator	1x NVDLA v2	2x NVDLA v2	2x NVDLA
DLA Max Frequency	614 MHz		1100 MHz
Vision Accelerator	1x PVA v2		1x PVA
Storage	128GB NVMe SSD		16 GB eMMC 5.1
Video Encoder	1x 4K60 (H.265) ' 3x 4K30 (H.265) 6x 1080p60 (H.265) ' 12x 1080p30 (H.265)		2x 4K60 ' 4x 4K30 ' 10x 1080p60 ' 22x 1080p30 (H.265) 2x 4K60 ' 4x 4K30 ' 10x 1080p60 ' 20x 108p30 (H.264)
Video Decoder	1x 8K30 (H.265) ' 2x 4K60 (H.265) ' 4x 4K30 (H.265) 9x 1080p60 (H.265) ' 18x 1080p30 (H.265)		2x 8K30 ' 6x 4K60 ' 12x 4K30 ' 22x 1080p60 ' 44x 1080p30 (H.265) 2x 4K60 ' 6x 4K30 ' 10x 1080p60 ' 22x 1080p30 (H.264)
Display	1* HDMI 2.1		1*HDMI Type A; 1*DP
CSI Camera	2* CSI （2-lane 15pin）
Networking	1* Gigabit Ethernet (10/100/1000M)
USB	4* USB 3.2 Type-A (10Gbps); 1* USB2.0 Type-C (Device Mode)		4* USB 3.1 Type A Connector；1* USB Type-C (Device mode)
M.2 Key M	1* M.2 Key M
M.2 Key E	1* M.2 Key E
Fan	1* 4 pin Fan Connector(5V PWM)
CAN	1* CAN
Multifunctional Port	1* 40-Pin Expansion header,1* 12-Pin Control and UART header
RTC	RTC 2-pin, RTC socket (supports CR1220 but not included)
Power	9-19V		9-12V
Power Supply	Power adapter not included
Temperature	-10℃~60℃
Mechanical	130mm x120mm x 58.5mm		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

Seeed 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.

Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capabilities 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 metal, whose stackable structure allows you to stack more middle layers to create rooms very easily.

Applications

reComputer J40 series, powered by Orin NX, is ideal for building autonomous applications and complex AI tasks of image recognition, object detection, pose estimation, semantic segmentation, video processing, and many more. The following are few of the applications that have been tested with Xavier NX and you can take them for reference in order to build applications using Orin NX as well.

• Traffic management
  • license plate detection
  • car detection
  • pedestrian detection
• Industry 4.0:
  • helmet detection, hard hat detection, and custom PPE detection
  • visual anomaly detection using NVIDIA Deepstream IoT
• Retail:
  • sentiment analysis(webinar: learn your customer with AI by Zenus smart camera),
  • retail store items detection
• Robotics:
  • under-ice sensing ROV
  • warehouse towing robot
• Edge AI into the Wild: Wildfire detection
• Agriculture: weeding machines, Tractors, Livestock detection
• Healthcare: medical imaging analysis

Find in the Jetson Community Resources page tools and tutorials the community has created to power your development experience, and check out the Community Projects page to inspire your next project!

 

Note

If you want to use SSDs with reComputer, we only recommend you choose 128GB, 256GB, 512GB versions from Seeed, because some of the SSDs in the market will work with this product under a particular JetPack version and some will not work with a different JetPack version. Even the official NVIDIA dev kits have the same behavior with SSDs

Part List

NVDIA Jetson Orin™ NX 16GB	x1
Seeed carrier board (reComputer J401) x1	x1
128GB NVMe SSD x 1	x1
Aluminum heatsink with fan x1	x1
Aluminum case (black) x1	x1

FAQ

1. What type of RTC is recommended for RTC socket?

CR1220 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.