And you’ll earn a certificate upon completion. NVIDIA Jetson Nano is an embedded system-on-module (SoM) and developer kit from the NVIDIA Jetson family, including an integrated 128-core Maxwell GPU, quad-core ARM A57 64-bit CPU, 4GB LPDDR4 memory, along with support for MIPI CSI-2 and PCIe Gen2 high-speed I/O. You can even use Jupyter notebooks on your Jetson Nano to build a deep learning classification project with computer vision models. You’ll learn to collect image data and use it to train, optimize, and deploy AI models for custom tasks like recognizing hand gestures, and image regression for locating a key point in an image. Take NVIDIA's free, self-paced Deep Learning Institute course for beginners online. It’s the perfect, portable solution for any project using image classification, object detection, segmentation, speech processing, and more. Grab your Jetson Nano Developer Kit - a powerful, easy-to-use, mini AI computer that lets you run multiple neural networks in parallel. See how AI can transform your product or project with these three easy steps. NVIDIA makes AI accessible to everyone, from professionals and researchers to students and hobbyists. Features GPUĤK 30 | 4x 1080p 30 | 9x 720p 30 (HEVC)ĤK 60 | 2x 4K 30 | 8x 1080p 30 | 18x 720p 30| (HEVC)ĭo you want to get started with AI but don’t know how? It’s easier than you think, and we’ll give you the tools and inspiration to get you up and running fast. This proven software stack reduces complexity and overall effort for developers. The same JetPack SDK is used across the entire NVIDIA Jetson™ family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started. Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. And it is incredibly power-efficient, consuming as little as 5 watts. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. The developer kit can be powered by micro-USB or a 5V 4A 2.1mm barrel jack power supply(preferred) and comes with extensive I/Os, ranging from GPIO to CSI. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing. The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost.
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