It may be the same hardware, but nVidia is known to block existing hardware features in their drivers on consumer level chips to drive prices. They did this in the past with quad buffer stereo (full screen only, not available through OpenGL) or decreased double precision performance (transparently added NOPs after each double precision opcode).

I will believe that these devices are equal when someone shows me benchmarks proving that. Until then, I am skeptical based on past experience.

You should look at GPU memory bandwidth for a proxy for performance when training DNNs. The P100 is about 40% faster than a 1080Ti. The V100 is only about 75% faster than a 1080Ti.

Based on this, i expect these commodity GPU servers (with 10 1080Ti cards) that cost 1/10th of the DGX-1 will be huge: https://www.servethehome.com/deeplearning11-10x-nvidia-gtx-1...