NVIDIA Jetson Nano B01 New Version 4GB AI Development Board Platform Kit
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Product Details / NVIDIA Jetson Nano B01 New Version 4GB AI Development Board Platform Kit
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 on 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, enabling developers to integrate their favorite AI model / AI framework into products fast and easily.
This is the B01 model of the Jetson Nano Developer Kit which was released in early 2020. This new model includes upgrades including the additional CSI port for cameras and compatibility with the Jetson Xaiver NX Module.
|CPU||Quad-core ARM A57 @ 1.43 GHz|
|Memory||4 GB 64-bit LPDDR4 25.6 GB/s|
|Storage||microSD (not included)|
|Video Encode||4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)|
|Video Decode||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 and display port|
|USB||4x USB 3.0, USB 2.0 Micro-B|
|Others||GPIO, I2C, I2S, SPI, UART|
|Mechanical||69 mm x 45 mm, 260-pin edge connector|
- 1 x NVIDIA Jetson Nano B01 Version
- 1 x Power Adapter
- 1 x IMX219-77 Camera Module (optional)
- 1 X SD Card (optional)