Nvidia K80 Vs P100
Identical benchmark workloads were run on the tesla p100 16gb pcie tesla k80 and tesla m40 gpus.
Nvidia k80 vs p100. Tesla v100 is the fastest nvidia gpu available on the market. User rating 1 star 2 star 3 star. Nvidia s pascal generation gpus in particular the flagship compute grade gpu p100 is said to be a game changer for compute intensive applications. Nvidia tesla k80 vs nvidia tesla p100.
Further p100 s stacked memory features 3x the memory bandwidth of the k80 an important factor for memory intensive applications says xcelerit. For the tested rnn and lstm deep learning applications we notice that the relative performance of v100 vs. Nvidia t oday we are going to confront two different pieces of hardware that are often used for deep learning tasks. Apr 07 2020 nvidia has a significant investment into deep learning with the original nvlink based tesla p100 video card put into deep learning training performance on caffe alexnet where it completely apr 05 2016 nvidia s newest.
V100 is 3x faster than p100. If you primarily require a large amount of memory for machine learning you can use either tesla p100 or v100. We record a maximum speedup in fp16 precision mode of 2 05x for v100 compared to the p100 in training mode and 1 72x in inference mode. The pascal based p100 provides 1 6x more double precision flops than the kepler generation k80.
All deep learning frameworks were linked to the nvidia cudnn library v5 1 instead of their own native deep network libraries. 2018 03 06 at 23 24. Nvidia tesla p100 source. One thought on crypto mining with google nvidia tesla k80 p100 michael c says.
I had about 5 9 mh s for eth and 59mhs sia coin via claymore dual miner. I have tried the same thing with 2 hours testing. A system equipped with dual k80 gpus achieved a 5x speed up over the xeon only system and a system equipped with dual p100 gpus managed a 35x speed up vs. The first is a gtx 1080 gpu a gaming device which.
4 7 teraflops for the pcie based p100 versus 2 91 teraflops for the k80. The batch size is 128 for all runtimes reported except for vgg net which uses a batch size of 64. Compared to the kepler generation flagship tesla k80 the p100 provides 1 6x more gflops double precision float. Nvidia has even termed a new tensorflop to measure this gain.