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The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.
The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts.
Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.
The same JetPack SDK is used across the entire NVIDIA Jetson™ family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.
Learn more at www.nvidia.com/JetsonNano
Get, learn, Build AI
Do you want to get started with AI but don’t know how? It’s easier than
you think, and we’ll give you the tools and inspiration to get you up
and running fast. NVIDIA makes AI accessible to everyone, from
professionals and researchers to students and hobbyists. See how AI can
transform your product or project with these three easy steps.
Get AI
Grab your Jetson Nano
Developer Kit— a powerful, easy-to-use, mini AI computer that lets you
run multiple neural networks in parallel. It’s the perfect, portable
solution for any project using image classification, object detection,
segmentation, speech processing, and more.
Learn AI
Take our free, self-paced Deep Learning Institute course for
beginners online. 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. You can even use Jupyter notebooks on your Jetson Nano to build a
deep learning classification project with computer vision models. And
you’ll earn a certificate upon completion.
Whether you’re starting in AI or just wanting to brush up on your skills to keep with the latest tech, we’ve got you covered.
Take the free course

Build AI
Armed with a Jetson Nano and your newfound skills from our DLI
course, you’ll be ready to see where AI can take your creativity. Train a
neural network on collected data to create your own models and use them
to run inference on Jetson Nano. Build an autonomous bot, a speech
recognition device, an intelligent mirror, and more.
Need inspiration? Check out the projects from our Developer and Partner Communities.
Explore Projects

Get Started with NVIDIA Jetson Nano Developer Kit
Jetson AI Fundamentals - S1E1 - First Time Setup with JetPack
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NVIDIA JETSON NANO 4GB DEVELOPER KIT (B01) - 945-13450-0000-100 *
128-core NVIDIA Maxwell GPU * Quad-core ARM A57 CPU * Storage - Micro SD (Not included) * 4 GB 64-bit LPDDR4 * Video Encode - 4Kp30| 4x 1080p30| 9x 720p30 (HEVC) * Video Decode - 4Kp60| 2x 4Kp30| 8x 1080p30| 18x 720p30| (HEVC) * 10/100/1000BASE-T Ethernet
Jetson Nano Module
> 128-core NVIDIA Maxwell GPU
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> HDMI/DisplayPort
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> Quad-core ARM A57 CPU
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> M.2 Key E
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> 4 GB 64-bit LPDDR4
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> Gigabit Ethernet
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> 10/100/1000BASE-T Ethernet
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> GPIOs, I2C, I2S, SPI, UART
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> Fan connector
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> MIPI-CSI camera connector
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> PoE connector
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Jetson Nano Developer KitGPU | 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 Encoder | 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (HEVC) | Video Decoder | 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30| (HEVC) | 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 | 0 mm x 80 mm x 29 mm |
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