Nvidia Tesla Supercomputer

But tesla gpus offer all the high end graphics capabilities you would expect from quadro and geforce.

Nvidia tesla supercomputer.

The german luxury automaker is building its own in car. It is meant to be a demonstration of the capabilities of nvidia s tesla gpgpu brand. Research astronomy astrophysics higher education academia share your science simulation supercomputing tesla nadeem mohammad posted jan 20 2016 dr. 3x 1 92 tb ssd raid 0 os.

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. Nvidia partners offer a wide array of cutting edge servers capable of diverse ai hpc and accelerated computing workloads. Nvidia describes the drive px 2 as the world s first ai supercomputer for self driving cars.

They are programmable using the cuda or opencl apis. 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. The tesla personal supercomputer is a desktop computer personal supercomputer that is backed by nvidia and built by various hardware vendors. The xeon w personal supercomputer is designed around nvidia quadro and tesla accelerated computation graphics processors.

This high performance personal supercomputer comes stock with a high powered quadro graphics card and options to add nvidia tesla cards not only that but with options for xeon w up to 18 cores our supercomputer has the cpu power to back that up. Mercedes benz and nvidia announced a partnership for the next generation vehicles powered by ai computers much like tesla s electric cars. 1x 1 92 tb ssd. 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.

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. 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.