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 Blog — NVIDIA Jetson Nano Brings AI to Everyone
- 1 Jetson Nano Developer Kit
- 2 Software Support
- 3 Guides and Tutorials
- 4 Ecosystem Products and Sensors
- 5 Getting Help
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.
- 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
- Power Supply
- 5V⎓2A Micro-USB adapter (see Adafruit GEO151UB)
- 5V⎓4A DC barrel jack adapter, 5.5mm OD x 2.1mm ID x 9.5mm length, center-positive (see Adafruit 1446)
- See the Power Supplies section below and 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
- Gigabit Ethernet (RJ45)
- M.2 Key-E with PCIe x1
- MicroSD card slot
- (3x) I2C, (2x) SPI, UART, I2S, GPIOs
- 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.
The devkit is available for $99 from the NVIDIA webstore and global distributors, including:
For the full list, refer to the Region Selector.
- JetPack 4.2.2
- Linux4Tegra R32.2.1 (L4T)
- Linux kernel 4.9
- Ubuntu 18.04 aarch64
- CUDA Toolkit 10.0.326
- cuDNN 7.5.0
- TensorRT 5.1.6
- TensorFlow 1.14.0
- VisionWorks 1.6
- OpenCV 3.3.1
- OpenGL 4.6 / OpenGL ES 3.2.5
- Vulkan 1.1.1
- L4T Multimedia API (Argus 0.97)
- GStreamer 1.14.1
- V4L2 media controller support
- NVIDIA Nsight Systems 2019.4
- NVIDIA Nsight Graphics 2019.2
- NVIDIA Nsight Compute 1.0
See the Jetson Zoo for more software packages to install on top of JetPack.
Guides and Tutorials
This section contains recipes for following along on Jetson Nano.
- L4T Kernel Development Guide
- Clone & Restore
- Jetson Nano Build Assistant Scripts
- BSP FAQ
- Power Supply Considerations
- Upstream Development Guide
- CUDA and VisionWorks Samples
- Install AWS Greengrass - IoT framework
- Mounting a SWAP File
- Booting from SSD
- GPIO Header Pin-out
- GPIO Direct Access from C
- Enabling SPI in DTS (R32.1)
- Enabling SPI in DTS (R32.2.1)
- Reading Serial Number
- Reading MAC Address
- jetson_easy - automatic setup/scripting
- jetson_stats - jtop, service and other tools
- rtl8192cu-fixes - patched Edimax EW-7811 Wi-Fi driver
See the Jetson Zoo for more resources on deploying AI and deep learning.
- Hello AI World (jetson-inference)
- TensorFlow Installer (pip wheel)
- PyTorch Installer (pip wheel)
- MXNet 1.4 Installer (pip wheel)
- PaddlePaddle Installer (pip wheel)
- Deep Learning Inference Benchmarking Instructions
- TensorFlow Object Detection With TensorRT (TF-TRT)
- RidgeRun's GstInference
- RidgeRun's R2Inference
- NVIDIA JetBot (AI-powered robotics kit)
- jetbot_ros (ROS nodes for JetBot)
- ROS Melodic (ROS install guide)
- ros_deep_learning (jetson-inference nodes)
- RidgeRun's GstInterpipe (GStreamer plug-in for communication between two or more independent pipelines)
- RidgeRun's GstRRWebRTC (GStreamer plug-in that turns pipelines into WebRTC compliant endpoints)
- RidgeRun's GstRTSPSink (GStreamer element for high performance streaming to multiple computers using the RTSP/RTP protocols)
- RidgeRun's Gstreamer Daemon - GstD (GStreamer framework for controlling audio and video streaming using TCP connection messages)
- RidgeRun's GstCUDA (RidgeRun CUDA ZeroCopy for GStreamer)
- RidgerRun's GstPTZR (GStreamer Pan Tilt Zoom and Rotate Element)
- RidgeRun's GstColorTransfer (GStreamer plug-in that transfers the color scheme from a reference to a target image)
V4L2 drivers for cameras
- RidgeRun has a list of drivers already supported in Jetson, please check if the driver that you need is already there. Otherwise, RidgeRun offers services to create the driver for you
There are some useful FAQs for Jetson Nano design, link is here.
Ecosystem Products and Sensors
The following are 3rd-party accessories, peripherals, and cameras available for Jetson Nano.
- e-con Systems e-CAM30_CUNANO (3.4 MP MIPI Camera)
- e-con Systems STEEReoCAM™ (2.0 MP MIPI Stereo Camera)
- Logitech C270 (USB webcam)
- Logitech C920 (USB webcam)
- Leopard Imaging LI-IMX219-MIPI-FF-NANO (IMX219 sensor)
- Raspberry Pi Camera v2 (IMX219 sensor)
- Appro AP-IMX179-MIPIx1 (IMX179 sensor)
- Appro AP-IMX290-MIPIx1 (IMX290 sensor)
- Stereolabs ZED (stereo camera)
- Antmicro Jetson Nano Baseboard (module carrier)
- Auvidea JN30 (module carrier)
- Auvidea JN30-LC (module carrier)
- Leopard Imaging LI-NANO-CB (module carrier)
- Realtimes RTSO-6001 (module carrier)
- ConnectTech Nano-Pac (3D-printable enclosure)
- Jetson Nano Case (3D-printable enclosure)
- Jetson NanoMesh (3D-printable enclosure)
- Jetson NanoMesh Mini (3D-printable enclosure)
- jetson_nano_enc (3D-printable enclosure)
- Jetson-nano-case (3D-printable enclosure)
- Geekworm Jetson Nano Case (metal enclosure)
- GeeekPi Jetson Nano Case (metal enclosure)
- Waveshare Jetson Nano Case (metal enclosure)
- KKSB Jetson Nano Case (metal enclosure)
- IP67 Fanless Aluminum Case (metal enclosure)
- PicoCluster (cluster chassis)
See the Power Supply section and this forum post for more information about selecting proper power adapters.
- Adafruit GEO151UB (5V⎓2.5A MicroUSB adapter)
- Adafruit GEO241DA-0540 (5V⎓4A DC barrel jack adapter)
- Geekworm 5V⎓4A DC barrel jack adapter
- GeekPi ABT025050 (5V⎓2.5A MicroUSB Adapter with ON/OFF Switch)
- Pwr+ PWR-TA05035N (5V⎓3.5A MicroUSB AC Adapter)
- Raspberry Pi DSA-13PFC-05 FCA 051250 (5.1V⎓2.5A Universal MicroUSB Power Supply)
- Edimax EW-7811Un (USB Wi-Fi wireless dongle)
- Intel 8265NGW (M.2 Key-E Wi-Fi/BT wireless card)
- Geekworm Dual Band Wireless USB 3.0 Wi-Fi Adapter (USB3 Wi-Fi dongle and SMA antenna)
- Geekworm SATA SSD/HDD Shield (USB3 SATA shield)
- Geekworm NVMe SSD Shield (USB3 SATA shield)
- Grove Base Hat for Raspberry Pi (support Jetson Nano)
- Grove Base Hat for Raspberry Pi Zero (support Jetson Nano)
- Module Heatsink (available from Auvidea)
- M.2 Key-E to Mini-PCIe (PCIe adapter)
- M.2 Key-E to Key-M (PCIe adapter)
- Noctua NF-A4x20 5V PWM (optional fan)
- BeadaPanel USB Display+WiFi+Storage 3-In-1 Companion Kit
- 20W PoE Module for Jetson Nano (5.2V⎓4A PoE)
See the Jetson Nano Supported Components List for devices that have been qualified by NVIDIA to work with Jetson Nano.
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.