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 and compute module

Jetson Nano 2GB 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

Jetson Nano 2GB Developer Kit

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

• 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

* Not initially available in all regions

Getting Started

Availability

The Nano devkit and commercial module are available from distributors worldwide. Visit the Region Selector webpage to find ordering information in your area.

See the Jetson Zoo for more software packages to install on top of JetPack.

This section contains recipes for following along on Jetson Nano.

System Tools

Deep Learning

See the Jetson Zoo for more resources on deploying AI and deep learning.

Robotics

Multimedia

V4L2 drivers for cameras

Design FAQs

There are some useful FAQs for Jetson Nano design, link is here.

For the latest list of Nano compatible products, please visit the Jetson Ecosystem Supported Cameras | Carrier Boards and Production Systems pages.

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:

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)
• Allied Vision USB3 Vision
• 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 USB3 Vision (Drivers & complete Basler pylon Camera Software Suite always included)
• DCDZ(冬虫电子） H2C-NCB (HDMI to CSI2 camera board)
• Stereolabs ZED (stereo camera)
• The Imaging Source MIPI CSI-2 board cameras (Drivers for latest JetPack versions & OpenEmbedded image available to download here)
  • DFM 37AX297-ML (available with S-Mount and C/CS-Mount) 0.4MP, 120fps, Sony IMX297, global shutter
  • DFM 37AX296-ML (available with S-Mount and C/CS-Mount) 1.6MP, 60fps, Sony IMX296, global shutter
  • DFM 37AX290-ML (available with S-Mount and C/CS-Mount) 2.1MP, 60fps, Sony IMX290, rolling shutter
  • DFM 37AR0234-ML (available with S-Mount and C/CS-Mount) 2.3MP, 60fps, OnSemi AR0234, global shutter
  • DFM 37AX390-ML (available with S-Mount and C/CS-Mount) 2.3MP, 60fps, Sony IMX390, rolling shutter
  • DFM 37AX335-ML (available with S-Mount and C/CS-Mount) 5MP, 30fps, Sony IMX335, rolling shutter
• The Imaging Source FPD-Link III board cameras (Drivers for latest JetPack versions & OpenEmbedded image available to download here)
  • DFM 37CX297-ML (available with S-Mount and C/CS-Mount) 0.4MP, 120fps, Sony IMX297, global shutter
  • DFM 37CX296-ML (available with S-Mount and C/CS-Mount) 1.6MP, 60fps, Sony IMX296, global shutter
  • DFM 37CX290-ML (available with S-Mount and C/CS-Mount) 2.1MP, 60fps, Sony IMX290, rolling shutter
  • DFM 37CR0234-ML (available with S-Mount and C/CS-Mount) 2.3MP, 100fps, OnSemi AR0234, global shutter
  • DFM 37CX390-ML (available with S-Mount and C/CS-Mount) 2.3MP, 60fps, Sony IMX390, rolling shutter
  • DFM 37CX335-ML (available with S-Mount and C/CS-Mount) 5MP, 30fps, Sony IMX335, rolling shutter
• The Imaging Source IP67-rated FPD-Link III cameras (Drivers for latest JetPack versions & OpenEmbedded image available to download here)
  • DFK 37CX297-I67 (available with S-Mount) 0.4MP, 120fps, Sony IMX297, global shutter
  • DFK 37CX296-I67 (available with S-Mount) 1.6MP, 60fps, Sony IMX296, global shutter
  • DFK 37CX290-I67 (available with S-Mount) 2.1MP, 60fps, Sony IMX290, rolling shutter
  • DFK 37CR0234-I67 (available with S-Mount) 2.3MP, 100fps, OnSemi AR0234, global shutter
  • DFK 37CX390-I67 (available with S-Mount) 2.3MP, 60fps, Sony IMX390, rolling shutter
  • DFK 37CX335-I67 (available with S-Mount) 5MP, 30fps, Sony IMX335, rolling shutter

Carriers

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

Clusters

Enclosures

3D Printable / Acrylic

Metal

Metal (Fanless)

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

Power Supplies

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

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)

Known good power supplies

• PowerTran M8911B (5V⎓4A 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.

UPS

Battery Packs

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

Wireless

Storage

Other

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.

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.

NVIDIA Jetson Nano Developer Kit, a small, powerful computer for AI development

Jetson Nano Developer Kit Description

NVIDIA Jetson Nano Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.

Jetson Nano delivers 472 GFLOPS for running modern AI algorithms fast, with a quad-core 64-bit ARM CPU, a 128-core integrated NVIDIA GPU, as well as 4GB LPDDR4 memory. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously.

Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The SDK also includes the ability to natively install popular open source Machine Learning (ML) frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, and MXNet, enables the developers to integrate their favorite AI model / AI framework into products fast and easily.

Jetson Nano Developer Kit Features

• GPU: 128-core Maxwell™ GPU
  
• CPU: quad-core ARM® Cortex®-A57 CPU
  
• Memory: 4GB 64-bit LPDDR4
• Storage: Micro SD card slot (requires an external minimum 16G TF card)
• Video:
  • Encode: 4K @ 30 (H.264/H.265)
  • Decode: 4K @ 60 (H.264/H.265)
• Interfaces:
  • Ethernet: 10/100/1000BASE-T auto-negotiation
  • Camera: 12-ch (3x4 OR 4x2) MIPI CSI-2 DPHY 1.1 (1.5Gbps)
  • Display: HDMI 2.0, DP (DisplayPort)
  • USB: 4x USB 3.0, USB 2.0 (Micro USB)
  • Others: GPIO, I2C, I2S, SPI, UART
• Power:
  • Micro USB (5V 2A)
  • DC jack (5V 4A)
• Dimensions:
  • Core module: 69.6 mm × 45 mm
  • Whole kit: 100mm × 80mm × 29mm

What's on Jetson Nano Developer Kit

1. Micro SD card slot: insert a 16GB or larger TF card for main storage and writing system image
2. 40-pin expansion header
3. Micro USB port: for 5V power input or for USB data transmission
4. Gigabit Ethernet port: 10/100/1000Base-T auto-negotiation
5. 4x USB 3.0 port
6. HDMI output port
7. DisplayPort connector
8. DC jack: for 5V power input
9. MIPI CSI camera connector

Technical Comparison

Development Resources

Wiki : www.waveshare.com/wiki/Jetson_Nano_Developer_Kit

Description

The NVIDIA® Jetson Nano™ Developer Kit delivers the compute performance to run modern AI workloads at an unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.

The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. It’s incredibly power-efficient, consuming as little as 5 watts.

Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.

The same JetPack SDK is used across the entire NVIDIA Jetson™ family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers. 

Key Features

 Jetson Nano Module

• 128-core NVIDIA Maxwell™ GPU
• Quad-core ARM® A57 CPU
• 4 GB 64-bit LPDDR4
• 10/100/1000BASE-T Ethernet 

 Power Options

• Micro-USB 5V 2A
• DC power adapter 5V 4A

 I/O

• USB 3.0 Type A
• USB 2.0 Micro-B
• HDMI/DisplayPort
• M.2 Key E
• Gigabit Ethernet
• GPIOs, I2C, I2S, SPI, UART
• MIPI-CSI camera connector
• Fan connector
• PoE connector

 Kit Contents

• NVIDIA Jetson Nano module and carrier board
• Quick Start Guide and Support Guide  

Changes with the B01 Kit

Reinforce Your Projects with Grove Pi HAT

If you want to use Grove sensors with Jetson Nano, grab the grove.py Python library and get your sensors up in running in minutes! Currently, there are more than 20 Grove modules supported on Jetson Nano and we will keep adding more. You can connect Grove modules using Base HAT for Raspberry Pi or Raspberry Pi Zero with Jetson Nano.

Specifications

• GPU: 128-core Maxwell
• CPU:Quad-core ARM A57 @ 1.43 GHz
• Memory: 4 GB 64-bit LPDDR4 25.6 GB/s
• Storage: microSD (not included)
• Video Encoder: 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
• Video Decoder: 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30|(H.264/H.265)
• Camera: 2x MIPI CSI-2 DPHY lanes
• Connectivity: Gigabit Ethernet, M.2 Key E
• Display: HDMI 2.0 and eDP 1.4
• USB: 4x USB 3.0, USB 2.0 Micro-B
• Others: GPIO, I2C, I2S, SPI, UART
• Mechanical: 100 mm x 80 mm x 29 mm

Version Change Information for B01 from A02

• The B01 revision carrier is compatible with the production specification Jetson Nano module. The A02 revision carrier is not.
• Removed Button Header [J40] Position
• Removed Serial Port Header [J44] Position
• Adjusted the Position of Power Select Jumper [J48]
• Adjusted the Position of Camera Connector [J13]
• Added Camera Connector [J49] location
• Factory JetPack Upgrade from 4.2 SDK to 4.3 SDK

The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing. The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts. Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started. The same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.

Cue theme music..."Meet NVIDIA Jetson!" The latest addition the Jetson family, the NVIDIA® Jetson Nano™ Developer Kit (V3) delivers the performance to run modern AI workloads in a small form factor, power-efficient (consuming as little as 5 Watts), and low cost. Developers, learners, and makers can run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing. The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. This version of the Jetson Nano Developer Kit comes equipped with two MIPI-CSI camera connectors which enables algorithms that perform stereo vision! We at SparkFun see this as more than enough potential to be yelling "Stop this crazy thing" to your friends & family!

Jetson Nano is also supported by NVIDIA JetPack™, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.

The same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.