Deep learning might be fashionable, but there are still people like myself, who do not care about deep learning, but who need fast double-precision (i.e. FP64) computations.
For such people, the introduction of Titan V is much more valuable than for those who need deep learning.
For deep learning there are many reasonable alternatives, but for double-precision, since many years, there was only a single choice that was better than the Xeons, both at DP Gflops per dollar and at DP Gflops per watt: the ancient FirePro cards based on AMD Hawaii, like those that I am still using.
Many years have passed and no better product was launched ... until now.
Titan V finally surpasses the old AMD Hawaii. Titan V is more than 3 times faster (double number of arithmetic units and more than 50% higher clock), but slightly less than 3 times more expensive, so it has better DP Gflops/dollar. While being more than 3 times faster, the power consumption is only slightly higher, so the DP Gflops/watt ratio is almost 3 times better.
The improvement over Xeons is even larger, because the best Platinum Xeons have about the same DP Gflops per watt as AMD Hawaii, but they have much worse DP Gflops per dollar.
So the people that commented that Titan V is expensive, have no idea about what they are talking, because from now on, Titan V provides the cheapest way of performing double-precision computations, both in the initial cost and in the power consumption.
Previously, Quadro P100 had good DP Gflops per watt, better than the Xeons, but it was ridiculously overpriced, so it should have been used only by someone for which power consumption was critical but the initial cost was completely irrelevant.