Nvidia Tesla K80 Gaming Benchmarks
2 sockets haswell intel xeon e5 2698 v3 gpu.
Nvidia tesla k80 gaming benchmarks. Nvidia tesla t4 angle view. Record performance with tesla k80. Asus rog strix x470 f gaming motherboard. Intel xeon e5 2697 v4 cpu broadwell intel xeon e5 2698 v3 cpu haswell intel xeon phi 7120p knight s corner nvidia tesla k40 gpu kepler nvidia tesla k80 gpu kepler.
Nvidia tesla t4 overview. The tesla k80 was a professional graphics card by nvidia launched in november 2014. Redhat enterprise linux 7 2 64bit ram. Recently stac research published astonishing performance results for the stac a2 benchmarks on an nvidia tesla k80.
Nvidia tesla k80 and nvidia tesla p100 ecc on os. Nvidia rtx 2070 gpu. All deep learning frameworks were linked to the nvidia cudnn library v5 1 instead of their own native deep network libraries. In short a single tesla k80 driven by two cpu cores outperforms all previously audited systems in terms of pure performance and power efficiency.
It s engineered to boost throughput in real world applications by 5 10x while also saving customers up to 50 for an accelerated data center compared to a cpu only system. Not sure if vnc needs a real graphics card or not though without top notch performance due to the overhead of this method. The nvidia tesla t4 is a single slot low profile gpu which is only 6 6 long. The tesla t4 size enables one to fit two tesla t4 s inside the same space as a double slot full sized gpu.
Built on the 28 nm process and based on the gk210 graphics processor in its gk210 885 a1 variant the card supports directx 12. The system configuration is given in the following. Nvidia pascal gp100 with tesla p100 graphics board benchmarks image credits. The batch size is 128 for all runtimes reported except for vgg net which uses a batch size of 64.
128gb k80 system and 256gb p100 system cuda version. 2 tb hard drive. Identical benchmark workloads were run on the tesla p100 16gb pcie tesla k80 and tesla m40 gpus. Amd ryzen 3800x cpu.
Ambermd for those expecting gaming benchmarks we already made it clear that these results have nothing to do with. No power connections are needed enabling the tesla t4 to fit in tight spaces inside the server. I made it to work with tesla k40. I believe you can probably with an onboard graphics card only for vnc output i guess.
The gk210 graphics processor is a large chip with a die area of 561 mm and 7 100 million transistors.