Nvidia Jetson Gpu

Built on the 16 nm process and based on the gp10b graphics processor in its tegra x2 variant the device supports directx 12.

Nvidia jetson gpu. The jetson tx1 gpu was a mobile integrated graphics solution by nvidia launched in january 2015. The jetson tx2 gpu was a performance segment mobile integrated graphics solution by nvidia launched in january 2016. Built on the 20 nm process and based on the gm20b graphics processor in its tm670d a1 variant the device supports directx 12. Jetson systems can communicate with another gpu jetson or x86 based systems over a pcie or pcie switch for high bandwidth low latency compute work.

Nvidia jetpack enables a new world of projects with fast and efficient ai. Earlier this year he chronicled on an nvidia forum his work building what he calls skynano a gpu powered camera to take detailed images of the night sky using nvidia s jetson nano. I ve been interested in astronomy from about eight or 10 years old but i had to quit my studies for more than 30 years because of my job as an aerospace software engineer said paillou in an interview. The nvidia jetson agx xavier developer kit for jetson platform is the world s first ai computer for autonomous machines.

The development process is simplified with support for cloud native technologies and developers can go even further with gpu accelerated libraries and sdks. Jetson tx2 is the fastest most power efficient embedded ai computing device. Custom fpgas can distribute data to the gpu for cuda processing and the results are aggregated to the master cpu for various purposes like display communication etc. The jetson agx xavier delivers the performance of a gpu workstation in an embedded module under 30w.

Jetson is a low power system and is designed for accelerating machine learning applications. Nvidia jetson is a series of embedded computing boards from nvidia the jetson tk1 tx1 and tx2 models all carry a tegra processor or soc from nvidia that integrates an arm architecture central processing unit cpu.