Can you help me understand, how can the V100 have 10x the TFLOPs of the P100, but only get a 2.5x speed increase in training a neural net according to nvidia's docs? https://devblogs.nvidia.com/parallelforall/inside-volta/

Do we need significant software changes to take advantage of the new power? Are the TFLOPs somehow not directly comparable?