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reComputer J1010 -Edge AI Computer with NVIDIA® Jetson Nano 4GB


A hand-sized edge AI box with 0.5 TFLOPs of power, built with the NVIDIA Jetson Nano 4GB production module. It features a rich set of IOs, an aluminum case, a passive heatsink, pre-built Jetpack 4.6.1, onboard 16 GB eMMC, 2x SCI, 1x USB 3, 2x USB 2, M.2 Key E, HDMI.

In stock
  • 10+: $209.00


reComputer J10 series (J1010/J1020v2) are the compact edge AI computers built with NVIDIA Jetson Nano 4GB production module. The built-in Jetson Nano compatible carrier board is the same dimension as the official NVIDIA Jetson Nano Dvevloper KIt,including 4xUSB 3, M.2 Key M, HDMI, and DP. The full system also includes a fan and a power adapter. It could be the first choice of entry-level development devices for computer vision students and Edge AI beginners!


  • The ofiicial NVIDIA Jetson Nano Developer Kit has reached EOL and is no longer available for purchase. For 5-10 years operating life component requirement in a production environment, we recommand you check out this reComputer J10 full system as a replacing choice for Jetson Nano developer Kit.

With great support of industrial peripherals and thermal management, reComputer Jetson Nano 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. You can utiliz this edge AI box working in video analytics, object detection, matural language processing, medical imaging, and robotics across diverse industries, such as intelligent retail market, smart cities, security, industrial automation, and so on.



  • Hand-size edge AI full system delivering modern AI power of 0.5 TFLOPs (FP16) and rich interfaces for embedded development.
  • Ready for development and deployment: pre-installed NVIDIA JetPack supports the entire Jetson software stack and industry-leading AI Jetson AI developer tools for building robust AI applications such as logistics, retail, service, agriculture, smart city, healthcare, and life sciences, etc
  • Flexible expansion: J101 carrier board with onboard microSD card slot, 1x USB 3.0, 2x USB2.0, HDMI, M.2 Key E for WiFI, LTE and Bluetooth, RTC, Raspberry Pi GPIO 40-pin, etc.
  • Power efficient: powered by Type C 5V/3A, consuming as little as 5 watts.

Compare NVIDIA Jetson Nano Dev Kit B01 with reComputer J10 series 


reComputer J1010

reComputer J1020

NVIDIA Jetson Nano Developer Kit-B01


Jetson Nano 4GB (production version)

Nano (not production version)


16 GB eMMC

MicroSD (Card not included)

SD Card Slot

Included (On the carrier board)


Included (On the module)

Video Encoder

4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30 

(H.265 & H.264)

4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)

Video Decoder

4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 

(H.265 & H.264)

4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)

Gigabit Ethernet

1*RJ45 Gigabit Ethernet Connector (10/100/1000)


1 * USB 3.0 Type A; 

2 * USB 2.0 Type A;

1 * USB Type C for device mode;

1 * USB Type C for 5V power input

4 * USB 3.0 Type-A ;

1 * Micro-USB port for device mode;

4 * USB 3.0 Type-A; 

1 * Micro-USB port for 5V power input  or for device mode

CSI Camera Connect

2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )


1*HDMI Type A

1*HDMI Type A; 


1*HDMI Type A; 



1* FAN Connector (5V PWM)

1* FAN (5V PWM)


1*M.2 Key E

1*M.2 Key E (Disabled)

1*M.2 Key E



1*M.2 Key M



RTC socket(reserved)


Multifunctional port

1* 40-Pin header

Power Supply

USB-Type C 5V⎓3A

DC Jack 12V/2A

DC Jack 5V⎓4A;

Micro-USB 5V⎓2A


130 mm x 120 mm x 50 mm (with case)

130mm x120mm x 50mm (with case)

100 mm x 80 mm x 29 mm


If use some GPIO libraries that causes floating voltage 1.2V~2V , GPIO issues on the carrier board could happen as the normal voltage should be 3V.
This is a common situation on the carrier boards, for both the reComputer series and official Nvidia Jetson developer kit.
Thus, aftersales / warrenty does not come into effect regarding this isssue.
For further information, refer to NVIDIA official document.

Compare NVIDIA Jetson Nano and Jetson Xavier NX

With Jetson Nano, developers can use highly accurate pre-trained models from TAO Toolkit and deploy with DeepStream. Jetson Nano can achieve 11 FPS for PeopleNet- ResNet34 of People Detection, 19 FPS for DashCamNet-ResNet18 of Vehicle Detection, and 101 FPS for FaceDetect-IR-ResNet18 of Face Detection. 

Jetson Xavier NX can achieve 172 FPS for PeopleNet- ResNet34  of People Detection, 274 FPS for DashCamNet-ResNet18 of Vehicle Detection, and 1126 FPS for FaceDetect-IR-ResNet18 of Face Detection. Benchmark details can be found on NVIDIA®’s DeepStream SDK website.

Hardware overview

Reference carrier board

Nearly the same functional design as Jetson Nano Developer Kit. We have upgraded the carrier board with micro SD card slot.

The old version

The latest version

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.


If you want to use SSDs with reComputer Jetson, we only recommend you choose 128GB, 256GB, and 512GB versions from Seeed, because some of the SSDs in the market will not work with this product.

Build your application

For AI beginners, if you would like to get critical AI skills and dive into deep learning. NVIDIA Deep Learning delivers practical, hands-on training and certification. Please also check out Seeed wiki guide including getting started with Jetson Nano and also building different projects.

For solution providers, reComputer J1010 is pre-installed with Jetpack 4.6.1, with a rich set of I/Os, this AI box simplifies development and fits for deployment for all edge AI solution providers working in video AI at the edge! Check out ourlanding page to discover more computer vision possibilities for diverse industries with the Jetson platform.


Perfect for security, transportation management, retail insights, and more, it drives innovation in robotics, Quick Service Restaurants (QSR), waste management, smart agriculture, and industry-wide environmental perception. Discover how our edge devices are making operations smarter and more efficient in our success case stories.

Choose One Amazing Developing Tool

We have prepared abundant Wiki guidances to get started with NVIDIA Jetson edge devices. Enjoy your edge AI journey by using the leading AI frameworks and software from our amazing ISV partner ecosystem!

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.

NVIDIA JetPack for fast development and edge AI integration

Jetson Software stackbegins 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 Jeston platform.It also includes security features, over-the-air update capabilities, and much more.


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.

Part List

reComputer J1010 (System Installed)


*Noted power supply and RTC(CR1220) are not included, please remember to add on demand


HSCODE 8471419000
USHSCODE 8543708800
EUHSCODE 8471707000
CE 1
EU DoC 1
KC 1
RoHS 1
UK DoC 1



Write Your Own Review
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  1. Documentation
    Product Quality
    from order view
    good experience for me in buying this item. Excellent quality of product. Thank you.
  2. Product Quality
    from product detail summary
    A powerful tool for machine learning applications, with fantastic performance for the price.
  3. Product Quality
    from order view
  4. Product Quality
    from order view
    Ha llegado rapido y sin problemas, era lo esperado
  5. Product Quality
    from order view
    Product was on time and seems to work correctly. I am basically a complete beginning and was not aware of the complexity of usage for the device but I am learning and this is a great tool for me to learn more advanced topics. So far so good! Just know that if your moving from Raspberry Pi and only did basic/intermediate stuff you may have a big learning curve from this as I did.


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