Nvidia Jetson Tx2 Windows

This 7 5 watt supercomputer on a module brings true ai computing at the edge.

Nvidia jetson tx2 windows. It s built around an nvidia pascal family gpu and loaded with 8gb of memory and 59 7gb s of memory bandwidth. The jetson tx2 developer kit gives you a fast easy way to develop hardware and software for the jetson tx2 ai supercomputer on a module. 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. In this post we are going to walk through building ian davis s jetson containers project on windows 10 using visual studio code and version 2 of the windows subsystem for linux in a nutshell the jetson containers project allows you to build cuda compatible images for running gpu accelerated applications as containers.

This 7 5 watt supercomputer on a module brings true ai computing at the edge. The problem is that the jetson runs on linux and my laptop has windows. I recently had to install a nvidia jetson tx2 gpu for a research project in object detection. It exposes the hardware capabilities and interfaces of the developer board comes with design guides and other documentation and is pre flashed with a linux development environment.

The project supports all current nvidia jetson devices nano tx2 xavier. The nvidia jetson tx2 developer kit gives you a fast easy way to develop hardware and software for the jetson tx2 ai supercomputer on a module. Jetson tx2 is the fastest most power efficient embedded ai computing device.