The power of modern AI is now available for makers, learners, and embedded developers everywhere. 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. It’s simpler than ever to get started! Just insert a microSD card with the system image, boot the developer kit, and begin using the same NVIDIA JetPack SDK used across the entire NVIDIA Jetson™ family of products. JetPack is compatible with NVIDIA’s world-leading AI platform for training and deploying AI software, reducing complexity and effort for developers. Get started today with the Jetson Nano Developer Kit. We look forward to seeing what you create! Please refer to NVIDIA documentation for what is currently supported, and the Jetson Hardware page for a comparison of all Jetson modules. NVIDIA JetPack SDK is the most comprehensive solution for building AI applications. Flash your Jetson developer kit with the latest OS image, install developer tools for both host computer and developer kit, and install the libraries and APIs, samples, and documentation needed to jumpstart your development environment. NVIDIA’s DeepStream SDK delivers a complete streaming analytics toolkit for AI-based video and image understanding, as well as multi-sensor processing. DeepStream is an integral part of NVIDIA Metropolis, the platform for building end-to-end services and solutions for transforming pixels and sensor data to actionable insights. For more tutorials with Jetson Nano, visit our Tutorials page. NVIDIA’s Deep Learning Institute delivers practical hands-on training and certification in AI at the edge for developers, educators, students and lifelong learners. Get the critical AI skills you need to thrive and advance in your career. Earn certificates when you complete these free, open-source courses. Enroll Now > Want to take your next project to the next level with AI? If the answer is yes, this webinar is for you. We’ll introduce you to the all new Jetson Nano™ and its latest features, making it the ideal platform for creating high-performance AI projects at the edge. Watch Now > Learn how to use AWS ML services and AWS IoT Greengrass to develop deep learning models and deploy on the edge with NVIDIA Jetson Nano. Create a sample deep learning model, set up AWS IoT Greengrass on Jetson Nano and deploy the sample model on Jetson Nano using AWS IoT Greengrass. Watch Now > Please post any questions you have to the NVIDIA Jetson Nano Forum.
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
