r/MachineLearning - [P] Comparison of consumer GPUs to workstation GPUs for deep learning. Is there any good reference already out there?

I was wondering if there is any good comparisons between top GPUs used for gaming like the Nividia 20x series and the workstation GPUs specialized for deep learning, like the Tesla V100, K80, etc. Obviously the workstations will be far faster, but I was looking for a comparison. If I'm already going to purchase a high end GPU for gaming, I'd like to see just how much slower it would be to train a neural net than paying for service on the cloud.