NVIDIA Jetson Nano Developer Kit-B011
NVIDIA provides a suite of machine learning and analytics software libraries to accelerate end-to-end data science pipelines entirely on GPUs. This work is enabled by over 15 years of CUDA development. GPU-accelerated libraries abstract the strengths of low-level CUDA primitives. Numerous libraries like linear algebra, advanced math, and parallelization algorithms lay the foundation for an ecosystem of compute-intensive applications.
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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.
|Jetson Nano Module||128-core NVIDIA Maxwell™ GPU|
Quad-core ARM® A57 CPU
4 GB 64-bit LPDDR4
|Power Options||Micro-USB 5V 2A|
DC power adapter 5V 4A
|I/O||USB 3.0 Type A|
USB 2.0 Micro-B
M.2 Key E
GPIOs, I2C, I2S, SPI, UART
MIPI-CSI camera 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.
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
Grove Starter Kit for Seeed Studio BeagleBone® Green
Odyssey - X86J4105
Odyssey Blue J4105 128GB
Raspberry Pi 4 Computer 8GB
Wio Terminal: ATSAMD51 Core
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