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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

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

$ 49.10

$ 63.83

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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

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

$ 49.10

$ 63.83

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Product Details

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  and various  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, KC

Description

reComputer series for Jetson are compact edge computers built with NVIDIA advanced AI embedded systems: J10 () and J20 (Jetson Xavier NX 8GB and ), where the reComputer J2021 is the Jetson Xavier NX 8GB module carried by . 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). 

At Seeed, you will find everything you want to work with  – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, and edge devices, as well as accessories.

Welcome to check out our . We are looking forward to leveraging local and global resources to accelerate next-gen AI product together with you.

Edge AI Applications

reComputer series for Jetson are ideal for building autonomous applications and complex AI tasks of image recognition, object detection, pose estimation, semantic segmentation, video processing, and many more. 

    • license plate detection

    • car detection

    • pedestrian detection

  • Industry 4.0: 

    • , , and custom PPE detection

  • Retail: 

    • sentiment analysis(: learn your customer with AI by Zenus smart camera),

  • Robotics: 

  • Edge AI into the Wild:  

  • Agriculture: weeding machine, Tractors, Livestock detection 

  • Healthcare: medical imaging analysis 

Developers Tools

Pre-installed Jetpack for fast development and edge AI integration

 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

  •  Seeed latest open-source project for deploying AI application within 3 nodes. 

  •  delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.

  • , built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training 

  • : 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  guide to get started with alwaysAI.

  • : the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud. 

  •  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  for deploying to NVIDIA Jetson with Roboflow.

  • : use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step tutorials

Speech AI

  •  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  

  •  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  on Connect your ROS Project to the Cloud with Nimbus.

Model Optimization

  • : optimize your models on NVIDIA Jetson devices. Check  at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices

Remote Fleet Management

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

 

Jetson Xavier NX and Jetson AGX Orin MLPerf v2.0 Results

Model Jetson Xavier NX (TensorRT)
Image Classification
ResNet-50
1243.14 6138.84
Object Detection
SSD-small
1782.53 6883.49
Object Detection
SSD-Large
36.69 207.66
Speech to Text
RNN-T
260.52 1110.23
Natural Language
Processing
BERT-Large
61.40 476.34
  • These are preview results, and can be found at: 

Hardware specification 

Comparison among reComputer J20 series and Official Dev Kits 

 

 

 

Product

 

Dev

 

J2011

 

J2012

 

J2021

 

J2022

 

Module

 

Xavier NX (not production version)

 

Xavier NX (production version)

 

Xavier NX 16GB (production version)

 

Jetson Xavier NX

 

Jetson Xavier NX 16GB

 

AI Perf

 

21 TOPS

 

GPU

 

384-core NVIDIA Volta™ GPU

 

CPU

 

6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2   4 MB L3

 

Memory

 

8 GB 128-bit LPDDR4x @ 51.2GB/s

 

8 GB 128-bit LPDDR4x @ 59.7GB/s

 

16 GB 128-bit LPDDR4x @ 59.7GB/s

 

8 GB 128-bit LPDDR4x @ 59.7GB/s

 

16 GB 128-bit LPDDR4x 59.7GB/s

 

Storage

 

microSD (Card not included)

 

16 GB eMMC 5.1

 

Video encoder

 

2x 4K @ 30 | 6x 1080p @ 60 | 14x 1080p @ 30 (H.265/H.264)

 

2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265) 

2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 108p30 (H.264)

 

Video decoder

 

2x 4K 

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