Nvidia Jetson Windows

We are the brains of self driving cars intelligent machines and iot.

Nvidia jetson windows. I recently had to install a nvidia jetson tx2 gpu for a research project in object detection. Featured microsoft is planning a big refresh to the windows 10 ui with sun. The project supports all current nvidia jetson devices nano tx2 xavier. Nvidia has debuted the jetson nano 2gb a new developer kit for students and hobbyists with an interest in robotics.

The problem is that the jetson runs on linux and my laptop has windows. Nvidia jetpack enables a new world of projects with fast and efficient ai. The development process is simplified with support for cloud native technologies and developers can go even further with gpu accelerated libraries and sdks. Thousands of jetson nano developers actively contribute videos how tos and open source projects in addition to the free and comprehensive tutorials offered by nvidia.

Upon excitedly turning it on and getting into the ubuntu desktop i was prompted to update ubuntu. Jetpack sdk nvidia jetpack sdk is the most comprehensive solution for building ai applications. We created the world s largest gaming platform and the world s fastest supercomputer. I plan to do all the developments as well as training the neural networks for object detection in my work laptop which is where my good graphics card is.

The following specialized sdks provide developers with functionality to build applications on the nvidia jetson platform. It bundles all the jetson platform software including tensorrt cudnn cuda toolkit visionworks streamer and opencv all built on top of l4t with lts linux kernel. The nvidia jetson nano developer kit is a small ai computer for makers learners and developers. These start with an introductory hello ai world continue to robotics projects such as the open source nvidia jetbot ai robot platform and lead to the next level of robotics development with nvidia isaac.

Nvidia inventor of the gpu which creates interactive graphics on laptops workstations mobile devices notebooks pcs and more. After following along with this brief guide you ll be ready to start building practical ai applications cool ai robots and more.