SmartFly Tech NVIDIA Jetson Nano Developer Kit B01 for AI Development with Caffe

Description

-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 : https://elinux.org/Jetson_Nano User Guide: https://elinux.org/Jetson_Nano Technical Support: support@smartfire.cn  Skype: smartfire_cn PACKAGE CONTENT Jetson Nano Developer Kit x1