Nvidia Tesla Supercomputer

Nvidia describes the drive px 2 as the world s first ai supercomputer for self driving cars.

Nvidia tesla supercomputer. Leverage nvidia tesla gpus to accelerate deep learning analytics science simulation and other high performance computing hpc workloads and nvidia grid with gcp to accelerate graphics intensive workloads from anywhere. But tesla gpus offer all the high end graphics capabilities you would expect from quadro and geforce. Nvidia partners offer a wide array of cutting edge servers capable of diverse ai hpc and accelerated computing workloads. 1x 1 92 tb ssd.

It utilizes nvidia s cuda parallel computing architecture and is powered by up to 2688 parallel processing cores per gpgpu which allow it to achieve speeds up to 250. Learn more sales contact 1 844 613 7589. The german luxury automaker is building its own in car. The xeon w personal supercomputer is designed around nvidia quadro and tesla accelerated computation graphics processors.

That means your gpu accelerated supercomputer can act as a very high performance visualization and analysis system giving you the flexibility of scaling visualization resources with your compute resources. Research astronomy astrophysics higher education academia share your science simulation supercomputing tesla nadeem mohammad posted jan 20 2016 dr. It appears to be a custom solution for tesla and it is not as powerful as nvidia s most. Nvidia dcx station data sheet may17 system specifications gpus 4x tesla v100 tflops gpu fp16 480 gpu memory 64 gb total system nvidia tensor cores 2 560 nvidia cuda cores 20 480 cpu intel xeon e5 2698 v4 2 2 ghz 20 core system memory 256 gb lrdimm ddr4 storage data.

It is meant to be a demonstration of the capabilities of nvidia s tesla gpgpu brand. They are programmable using the cuda or opencl apis. The tesla personal supercomputer is a desktop computer personal supercomputer that is backed by nvidia and built by various hardware vendors. Nvidia tesla was the name of nvidia s line of products targeted at stream processing or general purpose graphics processing units gpgpu named after pioneering electrical engineer nikola tesla its products began using gpus from the g80 series and have continued to accompany the release of new chips.

Paul shapiro professor at university of texas at austin shares how his team is using the tesla accelerated titan supercomputer at oak ridge national laboratory to analyze and visualize. 3x 1 92 tb ssd raid 0 os.