Nvidia Jetson Nano Os
The power of modern ai is now available for makers learners and embedded developers everywhere.
Nvidia jetson nano os. 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. There is also the jetson nano 2gb developer kit with 2gb memory and the same processing specs. Looking to bring an ai enabled product to market. All in an easy to use platform that runs in as little as 5 watts.
The nvidia jetson nano was announced as a development system in mid march 2019 the intended market is for hobbyist robotics due to the low price point. Jetson nano opens the door to robotics and deploying deep learning to the edge for real time image classification object detection segmentation speech processing and more. The nvidia jetson nano developer kit is a small ai computer for makers learners and developers. The jetson nano is the latest embedded board of the nvidia jetson family.
Get started quickly with the comprehensive nvidia jetpack sdk which includes accelerated libraries for deep learning computer vision graphics multimedia and more start prototyping using the jetson nano developer kit and take. 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. After following along with this brief guide you ll be ready to start building practical ai applications cool ai robots and more. Fast forward to 2020 and nvidia is back with a 2gb version of the jetson nano that sells for a more reasonable 59 and for consumers in some markets including america comes with a compatible.
9 10 the final specs expose the board being sort of a power optimized stripped down version of what a full tegra x1 system would mean. The jetson nano is a small powerful computer designed to power entry level edge ai applications and devices.