Nvidia Jetson Xavier Gpu

See pinning gpu memory and unpinning gpu memory for details.

Nvidia jetson xavier gpu. The nvidia jetson agx xavier developer kit is the latest addition to the jetson platform. The jetson agx xavier gpu is an enthusiast class mobile integrated graphics solution by nvidia launched in october 2018. 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. Jetson agx xavier is designed for robots drones and other autonomous machines.

Each generation of gpu from nvidia is based on a new microarchitecture design. Intro video to jetson agx xavier. However pinning and unpinning of gpu memory has to be handled by functions provided by the nvidia kernel driver. When i used trtexec with resnet50 on maxn mode i discovered the gpu is faster than the dla.

Built on the 12 nm process and based on the gv10b graphics processor the device supports directx 12. 11 jetson tx2 jetson agx xavier gpu 256 core pascal 1 3ghz 512 core volta 1 37ghz 64 tensor cores dl accelerator 2x nvdla vision accelerator 2x 7 way vliw processorcpu 6 core denver and a57 2ghz 2x 2mb l2 8 core carmel arm cpu 2 26ghz. This ensures that all modern games will run on jetson xavier nx gpu. 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. Jetson xavier nx delivers up to 21 tops making it ideal for high performance compute and ai in embedded and edge systems. This ensures that all modern games will run on jetson agx xavier gpu. The jetson xavier nx has a 384 core gpu based on the volta architecture.

Nvidia tesla v100 specifications tesla v100 for nvlink tesla v100 for pcie performance with nvidia gpu boost double precision 7 8 teraflops single precision 15 7 teraflops deep learning 125 teraflops double precision 7 teraflops single precision 14 teraflops deep learning. Porting to jetson agx xavier platform. Combined with over 51gb s of memory bandwidth video encoded and decode these features make jetson xavier nx the platform. Built on the 12 nm process and based on the gv10b graphics processor the device supports directx 12.

It s an ai computer for autonomous machines delivering the performance of a gpu workstation in an embedded module under 30w.