---
layout: download
board_id: "jetson_nano"
title: "Nvidia Jetson Nano Dev Kit"
name: "Nvidia Jetson Nano Dev Kit"
manufacturer: "Nvidia"
board_url: "https://developer.nvidia.com/embedded/jetson-nano-developer-kit"
board_image: "jetson_nano.jpg"
download_instructions: "https://learn.adafruit.com/circuitpython-libraries-on-linux-and-the-nvidia-jetson-nano"
downloads_display: true
blinka: true
features:
  - Ethernet
  - HDMI
  - DisplayPort
  - 4 x USB 3.0 Ports
  - 40-pin GPIO
---

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.

- GPU   128-core Maxwell™ GPU
- CPU   4-core ARM A57
- Memory    4 GB 64 Bit LPDDR4 | 25.6 GB/s
- Storage   microSD (not included)
- Video Encode  4Kp30 | 4x 1080p30 | 8x 720p30 (H.264/H.265)
- Video Decoder 4Kp60 | 2x 4Kp30 | 8x 1080p30 | 16x 720p30 | (H.264/H.265)
- Size  100mm x 80mm x 29mm
- Deployment    Module (Jetson Nano)
- USB   5
- Ethernet  1
- I2C   1
- SPI   1
- UART  1
- GPIO  1
- Display Interface HDMI
- Operating Systems   Linux
- PC Card Interface SD

## Purchase
* [Arrow](https://www.arrow.com/products/945-13450-0000-000/nvidia)

## Contribute

Have some info to add for this board? Edit the source for this page [here](https://github.com/adafruit/circuitpython-org/edit/master/_blinka/{{ page.board_id }}.md).