NVIDIA Jetson Nano Developer Kit (B01), Upgraded 2-lanes CSI
Supplier Code: 17700
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Dive into the World of NVIDIA Jetson Nano
NVIDIA Jetson Nano Quad-core ARM A57 @ 1.43 GHz processor and superior modern structure provide unprecedented computing performance in your artificial intelligence projects.With its high performance, you can run multiple neural networks in parallel for applications such as image classification, object detection, segmentation, and speech processing. It is a small, very powerful computer that allows it to run at low power, up to 5 watts, with all its features.
It allows you to make a difference in your projects with the upgraded 2-Lane CSI Camera input.
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.
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
8-DC jack: for 5V power input
9-2x MIPI CSI camera connector
NVIDIA Jetson Nano Features
Quad-core ARM A57 @ 1.43 GHz
4 GB 64-bit LPDDR4 25.6 GB/s
micro SD card (NOT included. Recommendation: Micro SD Card 16GB
4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265)
2x MIPI CSI-2 DPHY lanes
Gigabit Ethernet, M.2 Key E expansion connector (Recommendation: AC8265 Dual-mode NIC)
4x USB 3.0, USB 2.0 Micro-B
GPIO, I2C, I2S, SPI, UART
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