Note: NVidia has decided to revive the Jetson Nano B01 Developer kit at a higher price. However, the Jetson Nano 2GB, Xavier NX, and AGX Xavier are EOL (End Of Life).
Note: The Official NVidia Jetson Nano B01 Dev kit comes with a Non-Production System on Module (SoM). It is meant for development, and not for production deployment. NVidia does not recommend this dev kit for 24 hours of operation, or in the industrial temperature range. For production deployment, please get the dev kit with production SoM:
Note: This page has three (3) NVidia Jetson Nano B01 options. Please choose the preferred kit:
Note: From 21st March 2023 onwards, the camera included in the Beginner Kit is changed to Raspberry Pi 8MP Camera Module V2.1.
These are Jetson Nano B01 Kits for you to get started with the Jetson Nano B01 AI development board. Discover the power of AI and robotics with the NVIDIA® Jetson Nano™ B01 Developer Kit. It's small, powerful, and priced for everyone. Here are several examples of what developers are doing with Jetson Nano:
Here is an unboxing video of this kit by Cytron Technologies (Feb2023):
Here is the getting started video by NVidia Jetson team:
Here's NVIDIA Jetson. The Jetson Nano delivers the performance to run modern AI workloads in a small form factor, is 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 a micro-USB or 2.1mm DC Barrel Plug 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.
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.
The beginner and basic kits come with a 64GB, Class 10, U1, A1 grade MakerDisk microSD card, preloaded JetPack, ready to boot up on the Jetson Nano B01 board. Please DO NOT format it if you intend to use it with the board.
The JetPack includes:
- Desktop Linux with NVIDIA drivers
- AI and Computer Vision libraries and APIs
- Support for cloud-native technologies such as containerization and orchestration
- Developer tools, documentation, and sample code
In case you intend to use any other version of JetPack or OS, we also include a cute little USB microSD Card Reader and Writer together as a free gift in the beginner and basic kits! It's compact, lightweight and it's wicked fast. Supports up to 128 GB SDHC cards! Simply slide the card into the edge, flip it over, and plug it into your computer's USB port. No driver is required, it shows up as a standard 'Mass Storage' device under any OS. Download the BalenaEtcher or Raspberry Pi Imager to load the JetPack into the MicroSD.
Both the beginner and basic kits come with a 5V 4A 2.1mm DC Barrel Plug Power Adapter - UK Type to power up your Jetson Nano B01 Dev board.
The following shows an NVIDIA Jetson Nano B01 Developer Board that connects with this adapter:
The Power SMD LED will light up if the board is powered up. If the development board is powered via the DC barrel jack, a mini jumper is needed on J48 (connect both pins).
The NVIDIA Jetson Nano development board will need high power during development and testing. When you use a 5V 4A power supply, you can satisfy all application use cases. Under a stress test, the CPU and GPU will be in a full load. At the same time, the whole system can reach 3.5A, and the 4A power supply can meet all the needs.
For the Beginner Kit, we also included an Raspberry Pi 8MP Camera Module V2.1 (which is compatible with Jetson Nano), an acrylic case, and an acrylic camera mount for a little bit more fun! Since the NVIDIA Jetson Nano development board does not come with any wireless module, you will also get an AC8265 WiFi Bluetooth NIC Module.
Note: From 21st March 2023 onwards, the camera included in the Beginner Kit is changed to Raspberry Pi 8MP Camera Module V2.1.
The Raspberry Pi Camera Module V2.1 is the new improved official camera board from the Raspberry Pi Foundation! It features an ultra-high quality 8MP(megapixel) SONY IMX219 image sensor (up to 5MP on the V1 camera board), and a fixed focus lens. This V2 camera module is capable of 3280 x 2464 pixel static images, and also supports 1080p @30fps, 720p @ 60fps and 640x480p90 video.
Here's a video on Running Raspberry Pi Camera V2 in OpenCV by Paul McWhorter, for your reference:
The AC8265 WiFi Bluetooth NIC Module for Jetson Nano with M.2 interface can be fixed to the Jetson Nano B01 board for wireless communications offering WiFi and Bluetooth. The wireless card is fixed onto the Jeston Nano board by screws and the antenna can be attached to the acrylic case. It requires no driver installation and supports 5G/2.4G dual-band wifi, wide network coverage, coupled with a 3dBi higher gain dual antenna, even if in a complex wireless environment with multi-interference, it can also have good wireless penetration, making data reception smoother.
Ofiicial Jetson Nano B01 Dev Kit:
- Jetson Nano Rev: B01
- Non-production System on Module, strongly NOT recommended for deployment. Only for training and development.
- GPU: 128-core Maxwell™ GPU
- CPU: Quad-core ARM A57
- Memory: 4 GB 64-bit LPDDR4 25.6 GB/s
- Storage: MicroSD slot on the SoM (Please choose the kit for the microSD with Jetpack)
- Video Encoder: 4Kp30| 4x 1080p30| 9x 720p30 (H.264/H.265)
- Video Decoder:4Kp60| 2x 4Kp30| 8x 1080p30| 18x 720p30| (H.264/H.265)
- Power input:
- Micro-USB 5V, low power mode
- DC Power 5V 2.1mm DC Barrel, upto 4A, high power mode
- Camera: 2 x MIPI CSI-2 DPHY lanes
- Connectivity: Gigabit Ethernet, M.2 Key E expansion connector (Recommendation: AC8265 Dual-mode NIC)
- Display: HDMI and DP
- USB:
- 4 x USB 3.0
- USB 2.0 Micro-B
- Extension interface:
- GPIO
- I2C
- I2S
- SPI
- UART
- Fan connector
- PoE connector
- Dimensions: 100mm x 80mm x 29mm
64GB MakerDisk MicroSD card Preloaded with Jetpack:
- A microSD card from Makers to Makers!
- Brand: MakerDisk
- Capacity/Size: 64GB
- 1GB = 1,000,000,000 bytes.
- Actual usable capacity may be less, depending on the format. From JetPack OS, here is the capacity from file explorer, excluding the boot drive: ~ 56.9GB
- Check the capacity calculation from Wiki.
- Pre-loaded with JetPack OS, it is ready to boot up on Jetson Nano B01 right out of the box!
- The test results are better than Class A1 and Raspberry Pi Standards, which is definitely great for Jetson!
- Class 10, A1, U3, V30 microSD card
- Random IOPS - Read: > 2700 IOPS (A1 standard 1500 IOPS, Raspberry Pi Standard 2000 IOPS)
- Random IOPS - Write: > 800 IOPS (A1 standard 500 IOPS, Raspberry Pi Standard 500 IOPS)
- Sequential Write: > 32MB/S (A1 Standard 10MB/S, Raspberry Pi Standard 12MB/S)
USB microSD Card Reader and Writer (Free gift):
- Compact and lightweight
- Support most OS: Win7,8,10, MacOS, LINUX
- USB2.0 Speed
- Plug and use
- Support up to 128GB microSD card
- No driver is needed
- Both Read and Write functions
- Dimension: 15mm x 7mm x 24.8mm
5V 4A DC Barrel Jack 2.1mm Power Adapter-UK Plug:
- Input: 100-240V ~50/60Hz 0.7A Max
- Output voltage: 5VDC
- Maximum output current: 4A
- Plug: UK Plug, Type G
- Terminated with DC Barrel Plug (5.5mm outer, 2.1mm inner)
Raspberry Pi 8MP Camera Module V2.1
- Sony IMX219 chip, CSI interface
- 8MP, 1080P resolution
- Wide range of applications
- Compatible with Acrylic Case Holder for Camera Module
- Connects to the Nvidia Jetson Nano via a short ribbon flexible cable (included)
- No driver installation is needed, plug and use
- Supports 5G/2.4G dual-band wifi
- IEEE 802.11ac
- Supports Bluetooth / WiFi dual mode
- Superior quality, coupled with two 3db large gain antennas, transmission speed up to 867Mbps
- The antenna can be rotated within 90°, the user can adjust the angle to improve signal sensitivity
- Compatible with NVIDIA Jetson Nano B01 and A02
- Compatible with the acrylic case, two antennas can be fixed on the case too.
Acrylic Case with Cooling Fan for Jetson Nano 4GB:
- Mounting holes for two external antennas of the Wireless Network Card
- Support fixing of two camera brackets
- Supports cooling fan with anti-reverse connection
- Clever opening design, easy access to the peripheral connectors
- DIY (Do It Yourself) case
- Take around 5 to 10 minutes to assemble
Acrylic Case Holder for Camera Module
- Acrylic case for RPi and Jetson Nano Camera Modules
- DIY (Do It Yourself) case
- Easy installation
- Four Screws and nuts are included to secure your camera
- 2 in 1 camera case and holder
- Can be fixed on Jetson Nano acrylic case
- Jetson Nano B01 Beginner Kit:
- 1 x NVIDIA Jetson Nano Developer Kit Rev.B01
- 1 x 64GB MicroSD with JetPack for Jetson Nano B01
- 1 x Adapter 5V 4A R/Angle DC Plug 2.1mm - UK Plug
- 1 x Clear Acrylic Case (Manual assembly is needed)
- 1 x Clear Acrylic Camera Mount (Manual assembly is needed)
- 1 x Raspberry Pi 8MP Camera Module V2.1
- 1 x AC8265 Wireless Module (Manual assembly is needed)
- FREE:
Note: From 21st March onwards, the camera included in the Beginner Kit is changed to Raspberry Pi 8MP Camera Module V2.1.
- Jetson Nano B01 Basic Kit:
- Jetson Nano B01 Developer Kit
- New Revision of Jetson Nano Dev Kit – Now supports new Jetson Nano Module, by SeeedStudio
- Nvidia Jetson Nano Developer Kit A02 vs B01, an article by Cytron Technologies
- Robotic Operating System (ROS) with Nvidia Jetson Nano, an article by Cytron Technologies, to install and simulate robot using ROS
- AI Framework Test with Nvidia Jetson Nano, an article by Cytron Technologies, test how well Jetson Nano can run AI Framework
- Get Started with Jetson Nano Developer Kit
- Developer Kit User's Guide
- Jetson Nano: Deep Learning Inference Benchmarks
- Jetson Download Center
- Jetson FAQ
- Jetson Technical Forum
- Wiki
- BalenaEtcher
- RPi Camera Datasheet
- AC8265 Technical Specifications, intel.com
- Acrylic Case, camera mount and AC8265 assembly manual, pdf file
- Check out this demo of Jetson Nano A02 interface with Raspberry Pi Camera module V2, by JetsonHacks