# NVIDIA Jetson Nano Developer Kit (V3)

**Type:** Product page · **SKU:** DEV-16271 · **Brand:** [Sparkfun](https://core-electronics.com.au/brands/sparkfun-australia)
**Page:** https://core-electronics.com.au/nvidia-jetson-nano-developer-kit-v3.html ([markdown](https://core-electronics.com.au/nvidia-jetson-nano-developer-kit-v3.html.md))

## Retired product

This product is retired and no longer available for purchase. Replaced by: DEV-22098.

**Replacement:** https://core-electronics.com.au/catalog/product/view/sku/DEV-22098

## Description

Cue theme music..."Meet NVIDIA Jetson!" The latest addition the Jetson family, the NVIDIA® Jetson Nano™ Developer Kit (V3) delivers the performance to run modern AI workloads in a small form factor, power-efficient (consuming as little as 5 Watts), and low cost. Developers, learners, and makers can 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. This version of the Jetson Nano Developer Kit comes equipped with *two* MIPI-CSI camera connectors which enables algorithms that perform stereo vision! We at SparkFun see this as more than enough potential to be yelling "Stop this crazy thing" to your friends & family!

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 AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.

### Features

- GPU 128-core Maxwell™ GPU
- CPU Quad-core ARM A57
- Memory 4 GB 64-bit LPDDR4 | 25.6 GB/s
- 10/100/1000BASE-T Ethernet
- Storage microSD (not included)
- Video Encode 4Kp30| 4x 1080p30| 9x 720p30 (H.264/H.265)
- Video Decoder4Kp60| 2x 4Kp30| 8x 1080p30| 18x 720p30| (H.264/H.265)
- Supports Micro-USB 5V 2A
- Supports DC power adapter 5V 4A
- USB 3.0 Type A
- USB 2.0 Micro-B
- HDMI/DisplayPort
- M.2 Key E
- Gigabit Ethernet
- GPIOs, I2C, I2S, SPI, UART
- 2x MIPI-CSI camera connectors (for stereo vision)
- Fan connector
- PoE connector
- Dimensions: 100mm x 80mm x 29mm
 
### Documents

- [Datasheet](https://core-electronics.com.au/attachments/localcontent/jetson-nano-devkit-datasheet-updates-us-v3_2586530df5e.pdf)
- [Getting Started With Jetson Nano Developer Kit](https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit)
- Learn More from NVIDIA
 
### Includes

- NVIDIA Jetson module and reference carrier board
- Small paper card with quick start and support information
- Folded paper stand
 
### Items not Included you’ll also need:

- [microSD card](https://core-electronics.com.au/microsd-memory-card-32gb-class-10.html) (32GB UHS-1 minimum recommended)
- USB keyboard and mouse
- Computer display (HDMI or DP)
- Micro-USB or [DC barrel jack power supply](https://core-electronics.com.au/5v-dc-4a-fixed-2-1mm-tip-appliance-plugpack-47354.html) with at least 5V⎓2A at the jack.

## Images

- [Product image 1](https://core-electronics.com.au/media/catalog/product/1/6/16271-nvidia_jetson_nano_developer_kit__v3_-01.jpg)