Nvidia Tesla K80 How To Use

Their gpu ids are 0 1 2 3.

Nvidia tesla k80 how to use. Scottneh on 13 may 2020 accepted answer. There is no way to make nvidia smi show a k80 as two k40 instead. Codewise there is no difference. It turns out that i need to enable above 4g decoding in the bios.

The k80 can be used as two separate gpus exactly the same way you would use two k40 gpus. The machine has 4 nvidia k80s setuped and the outputs of nvidia smi are the information of the 4 cards. Nvidia s tesla series gpu are aimed for the industrial market and not the consumer market. I ve bought the nvidia telsa k80 for my research and i ve faced a couple of problems getting it to work.

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. I believe you can probably with an onboard graphics card only for vnc output i guess. Each k80 have two types of gpu memory. I made it to work with tesla k40.

The first problem was that the tesla card was crashing my computer intermittently. The chipset is the same as the consumer market however the quality control are a lot tighter and the chips are carefully picked out of a large batch of chip. Performance of k80 with autoboost enabled is shown on the far right of the plots. Not sure if vnc needs a real graphics card or not though without top notch performance due to the overhead of this method.

Using both gpus of nvidia tesla k80 in one maltab code simultaneously. I don t see anywhere that it is mentioned that tesla k80 can be used as two separate tesla k40. Fb and bar1 both have 12 g. 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.