Note: This item is discontinued, please view this item instead! 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 on 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. 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, enabling developers to integrate their favorite AI model / AI framework into products fast and easily. This is the B01 model of the Jetson Nano Developer Kit which was released in early 2020. This new model includes upgrades including the additional CSI port for cameras and compatibility with the Jetson Xaiver NX Module. Technical Specifications GPU 128-core Maxwell CPU Quad-core ARM A57 @ 1.43 GHz Memory 4 GB 64-bit LPDDR4 25.6 GB/s Storage microSD (not included) Video Encode 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265) Video Decode 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265) Camera 2x MIPI CSI-2 DPHY lanes Connectivity Gigabit Ethernet, M.2 Key E Display HDMI and display port USB 4x USB 3.0, USB 2.0 Micro-B Others GPIO, I2C, I2S, SPI, UART Mechanical 69 mm x 45 mm, 260-pin edge connector Developer Kit Interfaces Comparison Between The NVIDIA Jetson AI Developer Kits Jetson Nano Developer Kit Jetson TX2 Developer Kit Jetson Xavier NXDeveloper Kit Jetson AGX Xavier Developer Kit AI Performance 0.5 TFLOPS (FP16) 1.3 TFLOPS (FP16) 6 TFLOPS (FP16)21 TOPS (INT8) 5.5-11 TFLOPS (FP16)20-32 TOPS (INT8) GPU 128-core NVIDIA Maxwell™ GPU 256-core NVIDIA Pascal™ GPU architecture with 256 NVIDIA CUDA cores NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores 512-Core Volta GPU with Tensor Cores CPU Quad-core ARM A57 @ 1.43 GHz Dual-Core NVIDIA Denver 2 64-Bit CPUQuad-Core ARM® Cortex®-A57 MPCore 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3 8-Core ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3 Memory 4 GB 64-bit LPDDR4 25.6 GB/s 8GB 128-bit LPDDR41866 MHz - 59.7 GB/s 8 GB 128-bit LPDDR4x @ 51.2GB/s 32 GB 256-Bit LPDDR4x | 137 GB/s Power Consumption 5-10W 7.5-15W 10-15W 10-30W More Info: https://developer.nvidia.com/embedded/jetson-nano-developer-kitQuick Start Guide: https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit
