Difference between revisions of "Jetson Nano"

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(Deep Learning)
(Deep Learning)
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* [https://github.com/rbonghi/jetson_stats jetson_stats] - jtop, service and other tools
* [https://github.com/rbonghi/jetson_stats jetson_stats] - jtop, service and other tools
=== Computer Vision ===
* [https://developer.ridgerun.com/wiki/index.php?title=GstInterpipe RidgeRun's GstInterpipe] (GStreamer plug-in for communication between two or more independent pipelines)
* [https://developer.ridgerun.com/wiki/index.php?title=GstWebRTC RidgeRun's GstRRWebRTC] (GStreamer plug-in that turns pipelines into WebRTC compliant endpoints)
* [https://developer.ridgerun.com/wiki/index.php?title=GstRtspSink RidgeRun's GstRTSPSink] (GStreamer element for high performance streaming to multiple computers using the RTSP/RTP protocols)
* [https://developer.ridgerun.com/wiki/index.php?title=GStreamer_Daemon RidgeRun's Gstreamer Daemon - GstD] (GStreamer framework for controlling audio and video streaming using TCP connection messages)
* [http://developer.ridgerun.com/wiki/index.php?title=GstCUDA RidgeRun's GstCUDA] (RidgeRun CUDA ZeroCopy for GStreamer)
* [https://developer.ridgerun.com/wiki/index.php?title=GStreamer_Pan_Tilt_Zoom_and_Rotate_Element RidgerRun's GstPTZR] (GStreamer Pan Tilt Zoom and Rotate Element)
* [https://developer.ridgerun.com/wiki/index.php?title=GStreamer_Color_Transfer RidgeRun's GstColorTransfer] (GStreamer plug-in that transfers the color scheme from a reference to a target image)
=== Deep Learning ===
=== Deep Learning ===

Revision as of 12:21, 23 May 2019

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 for $99, with the production compute module coming in June 2019. See the wiki of the other Jetson's here.

  Technical BlogNVIDIA Jetson Nano Brings AI to Everyone

Jetson Nano Family.png

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. It costs $99 and is available from distributors worldwide.

Jetson Nano Developer Kit.png

What's Included

  • 80x100mm Reference Carrier Board
  • Jetson Nano Module with passive heatsink
  • Pop-Up Stand
  • Getting Started Guide

(the complete devkit with module and heatsink weighs 138 grams)

What You Will Need

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


The devkit is available for $99 from the NVIDIA webstore and global distributors, including:

For the full list, refer to the Region Selector.

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
  • TensorFlow 1.31.1
  • 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

Guides and Tutorials

This section contains recipes for following along on Jetson Nano.

System Tools

Computer Vision

Deep Learning

See the NVIDIA AI-IoT GitHub for other coding resources on deploying AI and deep learning.


Ecosystem Products and Sensors

The following are 3rd-party accessories, peripherals, and cameras available for Jetson Nano.




Power Supplies

See the Power Supply section for more information about selecting proper power adapters.

  • Adafruit GEO151UB (5V⎓2.5A Micro-USB adapter)
  • Adafruit 1446 (5V⎓4A DC barrel jack adapter)

Battery Packs

  • INUI 10000mAh (dual 5V⎓3A Micro-USB)
  • Krisdonia 25000mAh (5V⎓3A Micro-USB / DC barrel jack)


  • Edimax EW-7811Un (USB Wi-Fi wireless dongle)
  • Intel 8265NGW (M.2 Key-E Wi-Fi/BT wireless card)


See the Jetson Nano Supported Components List for devices that have been qualified by NVIDIA to work with Jetson Nano.

Getting Help

If you have a technical question or bug report, please visit the Jetson Nano Developer Forum and search or start a new topic.

See the official Support page on Embedded Developer Zone for warranty and RMA information.

For NVIDIA webstore Customer Service, please see the My Account page or contact 1-800-797-6530.