Jetson Nano
NVIDIA Jetson Nano is an embedded system-on-module (SoM) and developer kit from the NVIDIA Jetson family, including an integrated 128-core Maxwell GPU, quad-core ARM A57 64-bit CPU, 4GB LPDDR4 memory, along with support for MIPI CSI-2 and PCIe Gen2 high-speed I/O.
Useful for deploying computer vision and deep learning, Jetson Nano runs Linux and provides 472 GFLOPS of FP16 compute performance with 5-10W of power consumption.
Jetson Nano is currently available as the Jetson Nano Developer Kit, with the production compute module coming in June 2019. See the wiki of the other Jetson's here.
Contents
Jetson Nano Developer Kit
The Jetson Nano Developer Kit is an easy way to get started using Jetson Nano, including the module, carrier board, and software.
What's Included
- 80x100mm Reference Carrier Board
- Jetson Nano Module with passive heatsink
- Pop-Up Stand
- Getting Started Guide
What You Will Need
- Power Supply
- 5V⎓2A Micro-USB adapter (see Adafruit GEO151UB)
- 5V⎓4A DC barrel jack adapter, 5.5mm OD x 2.1mm ID (see Adafruit 1446)
- See Power Supply Considerations for more information.
- MicroSD card (16GB UHS-1 recommended minimum)
Ports & Interfaces
- 4x USB 3.0 A (Host)
- USB 2.0 Micro B (Device)
- MIPI CSI-2 x2 (15-position Camera Flex Connector)
- HDMI 2.0
- DisplayPort
- Gigabit Ethernet (RJ45)
- M.2 Key-E with PCIe x1
- MicroSD card slot
- (3x) I2C, (2x) SPI, UART, I2S, GPIOs
Getting Started
- Follow the Getting Started with Jetson Nano Guide to setup your devkit and format the MicroSD card.
- Plug in an HDMI display into Jetson, attach a USB keyboard & mouse, and apply power to boot it up.
- Visit the Embedded Developer Zone and Jetson Nano Developer Forum to access the latest documentation & downloads.
Software Support
- JetPack 4.2
- Linux4Tegra R32.1 (L4T)
- Linux kernel 4.9
- Ubuntu 18.04 LTS aarch64
- CUDA Toolkit 10.0
- cuDNN 7.3.1
- TensorRT 5.0.6
- VisionWorks 1.6
- OpenCV 3.3.1
- OpenGL 4.6 / OpenGL ES 3.2
- EGL 1.5
- Vulkan 1.1
- GStreamer 1.14.1
- V4L2 media controller support