C.W.USJ products are favored by consumers because of “high quality and low price”. They are exported to the United States, Canada, Mexico and some surrounding European
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)
Encode: 4K @ 30 (H.264/H.265)
Decode: 4K @ 60 (H.264/H.265)
Ethernet: 10/100/1000BASE-T self-negotiation
Camera: 12-ch (3×4 OR 4×2) 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
Micro USB (5V 2A)
DC jack (5V 4A)
Core module: 69.6 mm × 45 mm
Whole kit: 100mm × 80mm × 29mm
Quality Guarantee: it is 100% brand new. We strictly control each production steps to guarantee that the product is delivered to you without any defect for your satisfaction is our driving force.
Before you give us neutral or negative feedback, we kindly ask you to contact us immediately so that we can solve your problem satisfactorily.♥Simple design, fast installation. Easy to use and apply.
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.All in an easy-to-use platform that runs in as little as 5 watts.
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.