Nvidia Xavier Cuda Cores

The nvidia jetson xavier nx developer kit includes a power efficient compact jetson xavier nx module for ai edge devices.

Nvidia xavier cuda cores. For any volume quotes please contact us on our details below. 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. Complements cuda c programming guide. 384 nvidia cuda cores and 48 tensor cores 2x nvdla engines.

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. With more than 9 billion transistors xavier is the most complex system on a chip ever created representing the work of more than 2 000 nvidia engineers over a four year period and an investment of 2 billion in research and. 6 core nvidia carmel arm v8 2 64 bit cpu6 mb l2 4 mb l3 8 gb 128 bit lpddr4x 51 2gb s. 6 core carmel arm 64 bit cpu 6mb l2 4mb l3 video.

Cuda compute unified device architecture is a parallel computing platform and application programming interface api model created by nvidia. For developers who are already familiar with programming in cuda and c c and want to develop applications for the tegra soc. Jetson xavier nx delivers up to 21 tops making it ideal for high performance compute and ai in embedded and edge systems. And because it s powered by the new nvidia xavier processor you now have more than 20x the performance and 10x the energy efficiency of its predecessor the nvidia jetson tx2.

Combined with over 51gb s of memory bandwidth video encoded and decode these features make jetson xavier nx the platform. The jetson agx xavier integrated volta gpu shown in figure 3 provides 512 cuda cores and 64 tensor cores for up to 11 tflops fp16 or 22 tops of int8 compute with a maximum clock frequency of 1 37ghz. 44 0 118 981 6888 e. Nvidia jetson xavier nx specs.

Nvidia volta 384 cuda cores 48 tensor cores 2x nvdla. 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. 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. 7 way vliw vision processor.