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Jetson Nano production modules will now be available until January 2027, an extension of two years. JetPack 4 sustaining releases will continue to support Jetson Nano devkits and production modules.

For customers looking for a production module with a 5-10 year operating life in a production environment, we recommend you check out reComputer of Jetson full system. With the same carrier board dimension as Jetson Dev Kit,reComputer J1010 and J1020 v2, powered by Jetson Nano, built with rich I/Os of USB3, HDMI, GbE, M.2 key E and . If you are also looking for Jetson Xavier NX module-powered full system, please jump to reComputer J2021!


Time to bring AI power to the edge with advanced embedded systems! Jetson Nano will be your choice for developing systems for robotics, drone, video analytics, traffic management with the vehicle and people detection, retail automatic check-out machine, or terminologies like image classification, object detection, segmentation, and speech processing you must have heard about! Learn more about what is and why edge AI in this blog.

NVIDIA® Jetson Nano™ Developer Kit brings modern AI to makers, learners, and all embedded developers within compact size and powerful processing that lets you run multiple neural networks in parallel.

Seeed is a reseller of NVIDIA embedded systems and a preferred partner of the NVIDIA Jetson ecosystem for edge AI. Explore more carrier boards, full system devices, customization services, use cases, and developer tools at Seeed Jetson Ecosystem!

Compare reComputer J1020v2 and Nano B01


reComputer J1020 v2

NVIDIA Jetson Nano Developer Kit-B01


Jetson Nano 4GB (production)

Nano (not production)


16 GB eMMC

MicroSD slot(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)


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* FAN (5V PWM)


1*M.2 Key E (Disabled)

1*M.2 Key E


1*M.2 Key M



1*RTC Socket


Multifunctional port

1* 40-Pin header


DC Jack 12V/2A

DC Jack 5V⎓4A;

Micro-USB 5V⎓2A


130mm x120mm x 50mm (with case)

100 mm x 80 mm x 29 mm

For customers looking for a production module with a 5-10 year operating life in a production environment, we recommend you check out reComputer J1020v2 full system, with the same carrier board dimension as Jetson Dev Kit, If you are also looking for Jetson Xavier NX powered full system, please jump to reComputer J2021!

Get started with Jetson Nano and build your first AI project

AI is not hard anymore to get started. Just insert a microSD card with the system image, boot the developer kit, and begin using the same NVIDIA JetPack SDK used across the entire NVIDIA Jetson platform. JetPack is compatible with NVIDIA’s world-leading AI platform for training and deploying AI software, reducing complexity and effort for developers.

Want to take your next project to the next level with AI? How long time from unknown about AI to building AI? Two days are enough! NVIDIA prepared this deep learning tutorial of Hello AI World and Two Days to a Demo.

Besides grabbing Jetson Nano Dev Kit or reComputer J1010/J1020, you might need to connect with cameras, off-the-shelf Grove sensors, or controlling actuators with GPIO.

From 0.1 to ∞, unlock more AI possibilities!

Bring AI to market easier with these tools:

  • Edge AI no code Vision tool, Seeed latest open-source project for deploying AI application within 3 nodes.
  • 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 end-to-end computer vision experience from datasets to deployment. Roboflow Universe provides 90,000+ datasets with 66+ million images available for building computer vision models.
  • YOLOv5 by Ultralytics: use transfer learning to realize 21 FPS at the edge with YOLOv5 and fewer datasets. Have a look our step-by-step wiki tutorials.
  • Deci: optimize your models' performance. Check webinar at 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 Allxon. Unlock 90 days free trial with code H4U-NMW-CPK.

Robot and ROS Development

  • The NVIDIA® Isaac ROS is a collection of hardware accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware.
  • 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 Connect your ROS Project to the Cloud with Nimbus.

No matter whether you want to build up your first AI project or working on AI development and looking for a reliable hardware choice for mass production, Seeed's Jetson powered products will help you from edge AI 0.1 to ∞.

For ISV and solution integrator enterprises, welcome checkout our free Edge AI Partner Program to deliver AI solutions together with Seeed's licensing, customization and manufacturing service.


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  1. Product Quality
    Excellent product.
    It just gives you confidence that everything Nvidia makes is great. General purpose GPU programmatically compatible with top-of-the-line GPUs. Wonderful for learning, prototyping and even development.
  2. Product Quality
    Nearly unbelievable value for about $100
    I have worked with many SBCs. This is by far my favorite in this price range.
  3. Product Quality
    This is an absolute bargain for the price.
    It is nice option to be able to insert Wi-Fi adapter. So we can use Wi-Fi 6 now and don't wait for a hardware updates.
    Nvidia community is very friendly and helpful but linux kernel updates is not often for now.
    Latest kernel version is 4.9 version, so if you need kernel 5 you will have to wait for updates.
  4. Product Quality
    5.0 out of 5 stars It is high quality device,
    This is a great entry into GPU programming at a quite low cost.
  5. Product Quality
    Dreams come true.
    Small master-peace, over hundred times better then my first pentium.


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