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Load image into Gallery viewer, ThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 8GB module
Load image into Gallery viewer, ThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 8GB module
Load image into Gallery viewer, ThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 8GB module
Load image into Gallery viewer, ThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 8GB module
Load image into Gallery viewer, ThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 8GB module

ThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 8GB module

SKU: SBC1054

Regular price ₹ 80,999.99
Sale price ₹ 80,999.99 Regular price ₹ 89,999.99
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reComputer J4011 built with Jetson Orin NX 8GB is a powerful and compact intelligent edge box to bring up to 70TOPS modern AI performance to the edge, which offers more than 3.5X the performance of Jetson Xavier NX and more than 2X the performance of Jetson AGX Xavier. Combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, Jetson Orin NX integrates advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators.

The full system includes one NVIDIA Jetson Orin™ NX 8GB production module, a heatsink, and a power adapter. reComputer J4011 is preinstalled with NVIDIA JetPack™ 5.1, simplifies development, and fits 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.

This is product is manufactured in India, with more than 40% local procurement. 


  • Brilliant AI Performance for production: on-device processing with up to 70 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 production module, a heatsink, enclosure, and a power adapter. Support desktop, wall mount, fit in anywhere
  • Expandable with rich I/Os: 4x USB3.2, 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



reComputer series for NVIDIA Jetson are compact edge computers built with NVIDIA advanced AI embedded systems: J10 (Nano)and J20 (Xavier NX 8/16GB). Now we introduce the reComputer J4011 which is powered by Jetson Orin™ NX 8GB module and reComputer J401 carrier board.

With rich extension modules, industrial peripherals, and 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 Studio, you will find everything you want to work with the NVIDIA Jetson Edge AI Solutions - Jetson Nano, Jetson Xavier NX, Jetson AGX Orin - Seeed Studio – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, edge devices, as well as accessories.

We have prepared abundent Jetson AI Developer Tools - Seeed Wiki to get started with NVIDIA Jetson using leading AI frameworks and software. For example, with Few-Shot Object Detection - Seeed Wiki, developers can deploy custom YOLOv5 models on Jetson Orin at over 100FPS

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


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

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.



The reComputer industrial series is a versatile and powerful platform that can be used to develop a wide range of AI-powered applications, enabling digital transformation across industries. Below are some of the applications:

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!


Supported AI Platforms (continue updating)

with edge AI partners, harness the power of cutting-edge AI technology to accelerate edge computing deployment in the real world across industries. Welcome to check out our Edge AI partner program.


Comparison among reComputer J40 series boards


reComputer J4011

reComputer J4012

reComputer J2021

reComputer J2022


Jetson Orin NX 8GB

Jetson Orin NX 16GB

Jetson Xavier NX 8GB

Jetson Xavier NX 16GB

AI Performance


100 TOPS



1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores

384-core NVIDIA Volta™ GPU

GPU Max Frequency

765 MHz

918 MHz



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



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


DLA Max Frequency

614 MHz

1100 MHz

Vision Accelerator

1x PVA v2

1x PVA


(Supports external NVMe)

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)


1* HDMI 2.1

1*HDMI Type A; 1*DP

CSI Camera

2* CSI (2-lane 15pin)


1* Gigabit Ethernet (10/100/1000M)


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


1* 4 pin Fan Connector(5V PWM)


1* CAN

Multifunctional Port

1* 40-Pin Expansion header,1* 12-Pin Control and UART header


RTC 2-pin, RTC socket (supports CR1220 but not included)




Power Supply

DC 12V/5A(Barrel Jack 5.5/2.5mm)




130mm x120mm x 58.5mm

130mm x120mm x 50mm


Hardware Overview

Interface-rich reference carrier board

Seeed carrier board for reComputer J4011 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.

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

NVIDIA Jetson Orin™ NX 8GB


Seeed carrier board (reComputer J401) x1


128GB NVMe SSD x 1


Aluminum heatsink with fan x1


Aluminum case (black) x1


12V/5A(Barrel Jack 5.5/2.5mm) Power Adapter (Power cord not included)




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.



CVEDIA-RT is a modular, cross-platform AI inference engine that provides the solid foundations for building decision support systems. It's designed from the ground-up with developers and integrators in mind, providing both high and low-level interfaces.

Lumeo is a no-code video analytics platform that enables you to rapidly design, deploy, and monitor custom video analytics and other vision-AI enabled applications.
[Wiki] Update Jetson Linux Over-the-Air Using Allxon
Generally, NVIDIA provides "OTA Payload Package Update" mechanism which allows users to update their Jetson devices to newer versions of JetPack. Eventhough it seems convenient to update the OS of Jetson devices, there is an additional effort which users need to make. That is, users need to host an OTA server to deliver the OTA Payload Package to Jetson devices. It will be a huge effort for users to handle in addition to generating the OTA Payload Package.

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