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. There is also the Jetson Nano 2GB Developer Kit with 2GB memory and the same processing specs.

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, the Jetson Nano 2GB Developer Kit for $59, and the production compute module. See the wiki of the other Jetson's here.



= 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.



There is also the Jetson Nano 2GB Developer Kit available for $59, which has 2GB memory and the same 472-GFLOPS processing performance.

What's Included
(the complete devkit with module and heatsink weighs 138 grams)
 * 80x100mm Reference Carrier Board
 * Jetson Nano Module with passive heatsink
 * Pop-Up Stand
 * Getting Started Guide

What You Will Need

 * Power Supply
 * Jetson Nano Developer Kit (Micro-USB or DC barrel jack)
 * 5V⎓2.5A 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 Jetson Nano Supported Component List and Power Supplies section below for more information.
 * Jetson Nano 2GB Developer Kit (USB-C power supply)
 * 5V⎓3A USB-C adapter
 * See the Jetson Nano 2GB Supported Component List and Power Supplies section below for more information.
 * MicroSD card (32GB UHS-1 recommended minimum)

Ports & Interfaces
* Not initially available in all regions

Getting Started

 * Follow the Getting Started guide for your respective Jetson Nano to setup your devkit and format the MicroSD card:
 * Getting Started With Jetson Nano Developer Kit (4GB)
 * Getting Started with Jetson Nano 2GB Developer Kit
 * 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 Nano devkit and commercial module are available from distributors worldwide. Visit the Region Selector webpage to find ordering information in your area.

= Software Support =
 * JetPack
 * Linux4Tegra (L4T)
 * Linux kernel 4.9
 * Ubuntu 18.04 aarch64
 * CUDA Toolkit
 * cuDNN
 * TensorRT
 * TensorFlow
 * VisionWorks
 * OpenCV 4.1
 * 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
 * NVIDIA Nsight Graphics
 * NVIDIA Nsight Compute

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.

System Tools

 * 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

Deep Learning
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

Robotics

 * NVIDIA Isaac (robotics SDK + simulator)
 * NVIDIA Kaya (Isaac reference robot)
 * NVIDIA JetBot (AI-powered robotics kit)
 * jetbot_ros (ROS nodes for JetBot)
 * ROS Melodic (ROS install guide)
 * ros_deep_learning (jetson-inference nodes)

Multimedia

 * 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

Design FAQs
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.

Cameras
These cameras are plug-and-play with driver support already included in JetPack-L4T:
 * Logitech C270 (USB webcam)
 * Logitech C920 (USB webcam)
 * Other V4L2-compliant USB webcams
 * Leopard Imaging LI-IMX219-MIPI-FF-NANO (IMX219 sensor)
 * Raspberry Pi Camera v2 (IMX219 sensor)
 * Waveshare Nano cameras (IMX219 sensor)

These ecosystem cameras may require additional drivers to be installed from the vendor (see Jetson Partner Supported Cameras)
 * Allied Vision MIPI CSI-2 (one open-source CSI-2 driver for all cameras below)
 * Alvium 1500 C-050 0.5MP PYTHON 480
 * Alvium 1500 C-120 1.2MP AR0135CS
 * Alvium 1500 C-210 2.1MP AR0521
 * Alvium 1500 C-500 5MP AR0521
 * Alvium 1800 C-040 0.4MP Sony IMX287
 * Alvium 1800 C-158 1.6MP Sony IMX273
 * Allied Vision USB3 Vision
 * Alvium 1800 U-040 0.4MP Sony IMX287
 * Alvium 1800 U-050 0.5MP PYTHON 480
 * Alvium 1800 U-120 1.2MP AR0135CS
 * Alvium 1800 U-158 1.6MP Sony IMX273
 * Alvium 1800 U-500 5MP AR0521
 * Alvium 1800 U-501m NIR 5MP AR0522
 * Appro AP-IMX179-MIPIx1 (IMX179 sensor)
 * Appro AP-IMX290-MIPIx1 (IMX290 sensor)
 * Basler MIPI CSI-2 (Drivers & complete Basler pylon Camera Software Suite always included)
 * Basler dart daA2500-60mci (bare board) 5MP 60fps OnSemi AR0521
 * Basler dart daA2500-60mci (S-Mount) 5MP 60fps OnSemi AR0521
 * Camera AddOn Kit for Jetson Nano daA2500-60mci-NVJET-NVDK-AddOn 5MP OnSemi AR0521
 * Basler dart daA4200-30mci (bare board) 13MP 30fps OnSemi AR1335
 * Basler dart daA4200-30mci (S-Mount) 13MP 30fps OnSemi AR1335
 * Camera AddOn Kit for Jetson Nano daA4200-30mci-NVJET-NVDK-AddOn 13MP OnSemi AR1335
 * Basler USB3 Vision (Drivers & complete Basler pylon Camera Software Suite always included)
 * Basler dart daA1920-160uc (S-Mount, other mounts available) 2.3MP 160fps Sony IMX392
 * Basler dart daA3840-45uc (S-Mount, other mounts available) 8.3MP 45fps Sony IMX334
 * Basler dart daA1280-54uc (S-Mount, other mounts available) 1.2MP 54fps OnSemi AR0134
 * Basler dart daA1600-60uc (S-Mount, other mounts available) 2MP 60fps e2v EV76C570
 * Basler dart daA2500-14uc (S-Mount, other mounts available) 5MP 14fps OnSemi MT9P031
 * DCDZ(冬虫电子） H2C-NCB (HDMI to CSI2 camera board)
 * e-con Systems e-CAM24_CUNX - Color Global shutter Camera for NVIDIA® Jetson Xavier™ NX/NVIDIA® Jetson Nano™
 * e-con Systems e-CAM50_CUNX - 5.0 MP NVIDIA® Jetson Xavier™ NX/NVIDIA® Jetson Nano™ Camera
 * e-con Systems e-CAM30_CUNANO - 3.4 MP NVIDIA® Jetson Nano™ Camera
 * e-con Systems STEEReoCAM™ - 2MP Stereo Camera for NVIDIA® Jetson Nano™/AGX Xavier™/TX2
 * Stereolabs ZED (stereo camera)

Carriers

 * Aetina AN110-NAO
 * Antmicro Open Baseboard
 * Auvidea JN30
 * Auvidea JN30-LC
 * Avermedia EN713
 * Avermedia EN715
 * ConnectTech Photon
 * ConnectTech Quark
 * DCDZ(冬虫电子) NCB00
 * Diamond Systems FLOYD
 * LEETOP A200
 * LEETOP A203
 * Leopard Imaging LI-NANO-CB
 * Mistral Neuron
 * PLink AI NX-CB-2005
 * PLink AI YC-6
 * Realtimes RTSO-6001
 * SmartCow Pluto

For more production carriers, see the Jetson Partner Hardware Products page.

Clusters

 * Jetson Mate (4-node Nano/NX carrier+case)
 * Gumstix Snapshot (4-node Nano/NX carrier)
 * PicoCluster (3/5/10/20-node versions)

Enclosures
3D Printable
 * ConnectTech Nano-Pac
 * Jetson Nano Case
 * Jetson NanoMesh
 * Jetson NanoMesh Mini
 * jetson_nano_enc
 * Jetson-nano-case
 * PicoCluster

Metal
 * Geekworm N100
 * Geekworm T300-C2
 * GeeekPi Jetson Nano Case
 * DFRobots Jetson Nano Case
 * KKSB Jetson Nano Case
 * KKSB Jetson Nano Compact Case
 * Waveshare Jetson Nano Case
 * Yangshan Jetson Nano Case (on Alibaba)

Metal (Fanless) For more production systems, see the Jetson Partner Hardware Products page.
 * AAEON BOXER-8220AI
 * AAEON BOXER-8222AI
 * ADLINK DLAP-211-Nano
 * ADLINK DLAP-301-Nano
 * Advantech MIC-710AI
 * AIMobile NC-N1
 * Avermedia NO111B
 * Avermedia EN713
 * Diamond Systems JETBOX-FLOYD
 * Diamond Systems JETBOX-Nano
 * IoTamy IP67 Fanless Aluminum Case
 * LEETOP UCORE-A203
 * MiiVii MiiVii Lite Nano
 * MiiVii MiiVii Lite Nano Mini
 * PowerLeader IPC-1002M
 * RapidProto Hazcam
 * TZTek GEAC70

Jetson Nano Developer Kit
See the Jetson Nano Supported Component List and this forum post for more information about selecting proper power adapters for the original Jetson Nano 4GB.

Recommended Micro-USB Power Supplies
 * Adafruit GEO151UB (5V⎓2.5A MicroUSB 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)

Recommended DC Barrel Jack Power Supplies
 * Geekworm TB-458603 (5V⎓4A DC barrel jack adapter)
 * Adafruit GEO241DA-0540 (5V⎓4A DC barrel jack adapter)
 * Sparkfun GST60A05 (5V⎓6A DC barrel jack adapter)

Jetson Nano 2GB Developer Kit
See the Jetson Nano 2GB Supported Component List for more information about selecting a 5V⎓3A USB-C adapter for the Jetson Nano 2GB.


 * Raspberry Pi 4 Power Supply USB-C (5.1V⎓3A)
 * LABISTS Power Supply USB-C with On/Off Switch (5.1V⎓3A)
 * CanaKit Power Supply (USB-C) (5.1V⎓3.5A)
 * UGREEN USB C Charger (5V⎓3A)

UPS

 * T200 Geekworm 18650 UPS (5.1V/8A Output) & Power Mgnt Board Shield or
 * T208 Geekwrom 6-Cell 18650 UPS (Max 5.1V 8A Output) & Power Mgnt Board with AC Power Loss Dectection & Safe Shutdown or

Battery Packs

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

Wireless

 * TP-Link Archer T2U Nano (USB dual-band AC600 WiFi dongle)
 * TP-Link Archer T2U Plus (USB dual-band AC600 WiFi adapter with high-gain antenna)
 * TP-Link TL-WN722N (USB 802.11n 150Mbps WiFi adapter with high-gain antenna)
 * Kootek AC 600 (USB dual-band AC600 WiFi dongle)
 * Linksys WUSB6300 (USB dual-band AC1200 WiFi dongle)
 * Intel 8265NGW (M.2 Key-E WiFi/BT wireless card)
 * Geekworm Dual Band Wireless USB 3.0 Wi-Fi Adapter (USB3 WiFi dongle and SMA antenna)

Storage

 * Geekworm T300 SATA SSD/HDD Shield (USB3 SATA shield)
 * Geekworm T130 mSata SSD Shield (USB3 SATA shield)

Other

 * 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.

Embedded Vision Developer Kits
The following is a list of complete bundles that are based on and include the Jetson Nano Developer Kit combined with a compatible camera module as well as all drivers and system software to start developing Computer Vision projects out of the box.

Basler Embedded Vision Development Kit for Jetson Nano
This Embedded Vision Kit is a Development Kit with a Basler dart BCON for MIPI camera module for NVIDIA's Jetson Nano SoM.



What's included

 * Camera Model: daA4200-30mci (S-Mount, MIPI CSI-2), 13MP, 30fps
 * Lens: Evetar Lens M13B0618W F1.8 f6mm 1/3"
 * Board: Jetson Nano Developer Kit
 * Adapter board: Basler BCON for MIPI to Jetson Nano Developer Board
 * Cables: FFC Cable 15 pins, FFC cable, 0.2m, HDMI, Ethernet
 * Power Supply: 5V / 4A, barrel jack
 * Software: microSD card with pre-installed system including all drivers

Availability
Commercially available from distributors worldwide and from Basler.

Basler AI Vision Solution Kit for Jetson Nano
The AI Vision Solution Kit is a Development Kit with a Basler dart BCON for MIPI camera module for NVIDIA's Jetson Nano SoM. It comes with the full software infrastructure for AI application development, a connection to the AWS cloud and sample programs to demonstrate AI applications that can be used as a basis to develop own AI software.



What's included

 * Camera Model: daA4200-30mci (S-Mount, MIPI CSI-2), 13MP, 30fps
 * Lens: Evetar Lens M13B0618W F1.8 f6mm 1/3"
 * Board: Jetson Nano Developer Kit
 * Adapter board: Basler BCON for MIPI to Jetson Nano Developer Board
 * Cables: FFC Cable 15 pins, FFC cable, 0.2m, HDMI, Ethernet
 * Power Supply: 5V / 4A, barrel jack
 * Software: microSD card with pre-installed system including all drivers and software environment for AWS cloud connection and AI application development

Availability
Commercially available from distributors worldwide and from Basler.

= 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.