Nvidia Jetson Nano Digikey
The jetson nano is a small powerful computer designed to power entry level edge ai applications and devices.
Nvidia jetson nano digikey. Getting started with nvidia jetson nano part 1. The nvidia jetson nano developer kit is a small ai computer for makers learners and developers. The nvidia jetson nano is a single board computer based on the nvidia tegra x1 processor which combines cpu and gpu capabilities. The nano is a single board computer with a tegra x1 soc.
In this tutorial we show you how to connect accessories to the jetson nano set up linux ubuntu and install the necessary packages. Browse digikey s inventory of nvidia jetson nano development kit b01 boardmpu. Looking to bring an ai enabled product to market. Features specifications alternative product product training modules and datasheets are all available.
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. Setup maker io tutorial digi key electronics. All in an easy to use platform that runs in as little as 5 watts. Seeed s nvidia jetson nano developer kit is an embedded system on module som that brings real time computer vision and inferencing across a wide variety of complex deep neural network dnn models.
The jetson nano developer kit delivers the performance to run modern artificial intelligence ai workloads efficiently and in a small form factor. All in an easy to use platform that runs in as little as 5 watts. The power of modern ai is now available for makers learners and embedded developers everywhere. After following along with this brief guide you ll be ready to start building practical ai applications cool ai robots and more.
In june 2019 nvidia released its latest addition to the jetson line. The nvidia jetson nano is a single board computer sbc based on the tegra x1 processor. The 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. The nano is capable of running cuda nvidia s programming language for general purpose computing on graphics processor units gpus.
In this tutorial we show you how to use the jetson inference tools to train an existing deep neural. Essentially it is a tiny computer with a tiny graphics card.