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  • Note: please properly keep the Jetson products' original packing box and accessories (if any) for warranty service, and the serial numbers on the product and packing box MUST be matched, otherwise, the original manufacturer will reject returning / repairing. 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. 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. ›See more product details.
Note: please properly keep the Jetson products' original packing box and accessories (if any) for warranty service, and the serial numbers on the product and packing box MUST be matched, otherwise, the original manufacturer will reject returning / repairing. Overview 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. Specifications 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 self-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 Wiki : www.waveshare.com/wiki/Jetson_Nano_Developer_Kit? PACKAGE CONTENT Jetson Nano Developer Kit x1

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Waveshare Jetson Nano Developer Kit A02 Small AI Computer Delivers 472 GFLOPS for Running Modern AI Algorithms Fast

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