Description
- 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.
- It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously.All in an easy-to-use platform that runs in 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.
SpecificationsGPU: 128-core Maxwell GPUCPU: quad-core ARM Cortex-A57 CPUMemory: 4GB 64-bit LPDDR4Storage: 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-negotiationCamera: 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, UARTPower:Micro USB (5V 2A)DC jack (5V 4A)Dimensions:Core module: 69.6 mm × 45 mmWhole kit: 100mm × 80mm × 29mm
