Jetson Nano Developer Kit
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 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!
|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
Join us for this webinar and live Q&A session to learn how to use AWS to develop deep learning models and deploy on the edge with Jetson Nano. Register Now >
Jetson Nano Developer Kit: Introduction Video
In this video we will walk you through the ports and other components of the Jetson Nano Developer Kit, steps to boot, and more.
For step-by-step instructions, go to the Getting Started with Jetson Nano Developer Kit.
Take the free NVIDIA Deep Learning Institute Course
In the Getting Started with AI on Jetson Nano self-paced online course for beginners, you’ll learn to collect image data and use it to train, optimize, and deploy AI models for custom tasks like recognizing hand gestures, and image regression for locating a key point in an image. Enroll Now >
Please see below resources that the Jetson community has created, and refer to our Jetson Community Projects page to find inspiration for your next project.
|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 features has been Raspberry Pi camera support. The Jetson Nano has built in support, no finagling required.|
In this tutorial, you will learn how to get started with your NVIDIA Jetson Nano, including:
|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 take up GPU workload. It turned out however, I had to jump through a couple of hoops to get it working. In this blog post, I will walk through the steps needed and hope it will help you to get it working.|
|Despite its low cost the Jetson Nano Developer Kit is a fully-capable development platform that has multiple USB3 ports, Gigabit Ethernet and Raspberry Pi compatible GPIO and Camera connectors. It also is capable of running most of the software that its other family members run, giving Jetson Nano developers a wealth of development tools and code to explore. (…)|
|Adding an Intel Wifi card to the Jetson Nano can be a little scary first time through. Fortunately, it’s easy to do! (…) The NVIDIA Jetson Nano Developer Kit does not include a wifi module. Fortunately there is a connector to easily add one!|
|Jetson Nano performing vision recognition on a live video stream using a deep neural network (DNN). This video is based on the Hello AI World demo provided by NVIDIA for their Jetson boards, and employs a Raspberry Pi V2 camera.|
|The NVIDIA 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! We are going to install a swapfile. (…)|
|There are times when you need to have your external drives mounted when the Jetson Nano boots. Let’s go over it! (…)|
|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. (…)|
|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. (…)|
|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 (…)|
Please post any questions you have to the NVIDIA Jetson Nano Forum.