Nvidia K80 Performance

Redhat enterprise linux 7 2 64bit ram.

Nvidia k80 performance. Here is a comparison of the double precision floating point calculation performance between geforce and tesla quadro gpus. We compare the performance of each application on the k80 and p100 cards. The system configuration is given in the following. The k80 also has two times the performance.

2 sockets haswell intel xeon e5 2698 v3 gpu. I made it to work with tesla k40. Not sure if vnc needs a real graphics card or not though without top notch performance due to the overhead of this method. The k80 delivers 8 74 teraflops of single precision performance compared to 5 teraflops on nvidia s flagship geforce gtx 980 desktop graphics card.

As you can see auto boost delivers the best performance for tesla k80 and with a tesla k80 the simulation runs up to 1 9x faster than with a tesla k40 running at default clocks and up to 1 5x faster when compared to the tesla k40 running at 875 mhz 1. 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. Compute performance of nvidia tesla k80 compute. Nvidia tesla k80 and nvidia tesla p100 ecc on os.

I believe you can probably with an onboard graphics card only for vnc output i guess. 128gb k80 system and 256gb p100 system cuda version. The nvidia tesla k80 accelerator dramatically lowers data center costs by delivering exceptional performance with fewer more powerful servers. Performance of k80 with autoboost enabled is shown on the far right of the plots.

The k80 delivers 8 74 teraflops of single precision performance compared to 5 teraflops on nvidia s flagship geforce gtx 980 desktop graphics card. Although almost all nvidia gpu products support both single and double precision calculations the performance for double precision values is significantly lower on most consumer level geforce gpus.