Nvidia Xavier Cuda

Supported by nvidia jetpack and deepstream sdks as well as cuda cudnn and tensorrt software libraries the kit provides all the tools you need to get started right away.

Nvidia xavier cuda. It benefits from new cloud native support and accelerates the nvidia software stack in as little as 10 w with more than 10x the performance of its widely adopted predecessor jetson tx2. Please come back soon to read the completed information on ridgerun s support for this platform. Xavier will power the nvidia drive software stack now expanded to a trio of ai platforms covering every aspect of the experience inside next generation automobiles. It allows software developers and software engineers to use a cuda enabled graphics processing unit gpu for general purpose processing an approach termed gpgpu general purpose computing on graphics processing units.

With the nvidia jetson agx xavier developer kit you can easily create and deploy end to end ai robotics applications for manufacturing delivery retail smart cities and more. Silicon came back in the last week of december 2017 with sampling started in the first quarter of 2018. Supported by nvidia jetpack and deepstream sdks as well as cuda cudnn and tensorrt software libraries the kit provides all the tools you need to get started right away. You get the performance of 384 nvidia cuda cores 48 tensor cores 6 carmel arm cpus and two nvidia deep learning accelerators nvdla engines.

The nvidia jetson xavier nx developer kit includes a power efficient compact jetson xavier nx module for ai edge devices. Combined with over 51gb s of memory bandwidth video encoded and decode these features make jetson xavier nx the platform. Complements cuda c programming guide. Jetson xavier nx delivers up to 21 tops making it ideal for high performance compute and ai in embedded and edge systems.

Cuda compute unified device architecture is a parallel computing platform and application programming interface api model created by nvidia. Xavier is an autonomous machine processor designed by nvidia and introduced at ces 2018. We have most of the xavier documentation in place enjoy. With the nvidia jetson agx xavier developer kit you can easily create and deploy end to end ai robotics applications for manufacturing delivery retail agriculture and more.

Cuda tegra application note an overview of nvidia tegra memory architecture and considerations for porting code from a discrete gpu dgpu to the tegra integrated gpu igpu. For developers who are already familiar with programming in cuda and c c and want to develop applications for the tegra soc. Nvidia reported that the product is a result of 2 billion r d and 8 000 engineering years.