I would like to understand the main difference between latest Quadro and Tesla product lines, related to G/P100 and G/V100.
Since I guess Tesla is more suitable for server GPGPU computing, I don’t understand why the Quadro GP100 have more FP64 performance than the Tesla P100 (5.2 TFLOPS vs 4.7 TFLOPS), but Quadro is also cheaper.
Comparing with latest Volta architecture, I observe the same performance interval: Tesla V100 have 7 TFLOPS and Quadro GV100 have 7.4 TFLOPS for FP64 perfs.
I need to buy a GPGPU server for CUDA computing, so I want to understand.
So, Quadro shows more performance than Tesla, and are much cheaper: why ?