The power of modern AI is now available for makers, learners, and embedded developers everywhere, for just $99.

NVIDIA® Jetson Nano Developer Kit is a small, powerful computer that lets you run run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.

It’s simpler than ever to get started! Just insert a microSD card with the system image, boot the developer kit, and begin using the latest NVIDIA JetPack SDK. JetPack is compatible with NVIDIA’s world-leading AI platform for training and deploying AI software.

The same JetPack SDK is used across the entire NVIDIA Jetson™ family of products. Plus, it’s compatible with NVIDIA’s world-leading AI platform for training and deploying AI software, reducing complexity and effort for developers.

Get started today with the Jetson Nano Developer Kit. We look forward to seeing what you create!

GPU 128-core Maxwell
CPU Quad-core ARM A57 @ 1.43 GHz
Memory 4 GB 64-bit LPDDR4 25.6 GB/s
Storage microSD (not included)
Video Encode 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
Video Decode 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265)
Camera 1x MIPI CSI-2 DPHY lanes
Connectivity Gigabit Ethernet, M.2 Key E
Display HDMI 2.0 and eDP 1.4
USB 4x USB 3.0, USB 2.0 Micro-B
Others GPIO, I2C, I2S, SPI, UART
Mechanical 100 mm x 80 mm x 29 mm

Developer Kit Contents

  • NVIDIA Jetson Nano module and carrier board
  • Small paper card with quick start and support information
  • Folded paper stand

Get Started with NVIDIA Jetson Nano Developer Kit

Community Resources

Please see below resources that the Jetson community has created.

Getting started with the NVIDIA Jetson Nano
By Adrian Rosebrock, PyImageSearch

In this tutorial, you will learn how to get started with your NVIDIA Jetson Nano, including: Installing system packages and prerequisites, Configuring your Python development environment, Installing Keras (…)

Deploy GPU-enabled Kubernetes Pod on NVIDIA Jetson Nano
By Jerry Liang

NVIDIA Jetson Nano delivered GPU power in an amazingly small package. I finally got mine in the mailbox and couldn’t wait to add it to my Raspberry Pi K8s cluster to (…)

Jetson Nano + Raspberry Pi Camera
By JetsonHacks

The NVIDIA Jetson Nano Developer Kit plugs and plays with the Raspberry Pi V2 Camera! Since the introduction of the first Jetson in 2014, one of the most requested (…)

Jetson Nano + Intel Wifi and Bluetooth
By JetsonHacks

Adding an Intel Wifi card to the Jetson Nano can be a little scary first time through. Fortunately, it’s easy to do! (…)

Jetson Nano – Use More Power!
By JetsonHacks

You need to get all the power out of your Jetson Nano Developer Kit. There are three ways to get power in to the NVIDIA Jetson Nano Developer Kit. The simplest is to (…)

Jetson Nano – Use More Memory!
By JetsonHacks

Jetson Nano Developer Kit has 4 GB of main memory. This may not enough memory for running many of the large deep learning models, or compiling very large programs. Let’s fix that! (…)

Jetson Nano – Automount Drive
By JetsonHacks

There are times when you need to have your external drives mounted when the Jetson Nano boots. Let’s go over it! (…)

Jetson Nano – Serial Console
By JetsonHacks

A Serial Console is a useful tool for embedded development, remote access, and those times when the development kit has issues that you need to observe. (…)

Jetson Nano – Run on USB Drive
By JetsonHacks

Using a USB Drive as the root file system on a Jetson Nano Developer Kit provides many advantages, including faster disk access and more storage. (…)


Please post any questions you have to the NVIDIA Jetson Nano Forum.