Difference between revisions of "Jetson Nano"
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| − | For the full list, | + | For the full list, refer to the [https://developer.nvidia.com/buy-jetson?product=jetson_nano&location=US Region Selector]. |
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* cuDNN 7.3.1 | * cuDNN 7.3.1 | ||
* [https://developer.nvidia.com/tensorrt TensorRT] 5.0.6 | * [https://developer.nvidia.com/tensorrt TensorRT] 5.0.6 | ||
| + | * TensorFlow 1.31.1 | ||
* [https://developer.nvidia.com/embedded/visionworks VisionWorks] 1.6 | * [https://developer.nvidia.com/embedded/visionworks VisionWorks] 1.6 | ||
* OpenCV 3.3.1 | * OpenCV 3.3.1 | ||
| − | * OpenGL 4.6 | + | * OpenGL 4.6 |
| + | * OpenGL ES 3.2 | ||
* EGL 1.5 | * EGL 1.5 | ||
* Vulkan 1.1 | * Vulkan 1.1 | ||
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* V4L2 media controller support | * V4L2 media controller support | ||
</div> | </div> | ||
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| + | = Guides and Tutorials = | ||
| + | |||
| + | This section contains recipes for following along on Jetson Nano. | ||
| + | |||
| + | === System Tools === | ||
| + | * [https://docs.nvidia.com/jetson/l4t/index.html L4T Kernel Development Guide] | ||
| + | * [https://devtalk.nvidia.com/default/topic/1048640/jetson-nano/power-supply-considerations-for-jetson-nano-developer-kit/ Power Supply Considerations] | ||
| + | |||
| + | === Deep Learning === | ||
| + | * [https://github.com/dusty-nv/jetson-inference Hello AI World] (jetson-inference) | ||
| + | * [https://developer.nvidia.com/embedded/downloads#?search=TensorFlow TensorFlow 1.13.1 Installer] (pip wheel) | ||
| + | |||
| + | See the [https://github.com/NVIDIA-AI-IOT/ NVIDIA AI-IoT GitHub] for other coding resources on deploying AI and deep learning. | ||
| + | |||
| + | === Robotics === | ||
| + | * [https://github.com/NVIDIA-AI-IOT/jetbot NVIDIA JetBot] (AI-powered robotics kit) | ||
| + | * [http://wiki.ros.org/melodic/Installation/Ubuntu ROS Melodic] (install guide) | ||
Revision as of 14:11, 20 March 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, 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. It costs $99 and is available from distributors worldwide.
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.
Availability
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
Deep Learning
- Hello AI World (jetson-inference)
- TensorFlow 1.13.1 Installer (pip wheel)
See the NVIDIA AI-IoT GitHub for other coding resources on deploying AI and deep learning.
Robotics
- NVIDIA JetBot (AI-powered robotics kit)
- ROS Melodic (install guide)
