I’m planning to build a new desktop in a few months time primarily to further my studies in machine learning. My current plan is to use one or two 1080 Ti’s as some machine learning focused benchmarks I managed to find have shown them to have similar performance to the Titan Xp with much better value, a good fit for my build performance / price goals.
However, the Titan Xp recently gained significant performance increases with the optimisations provided in the 385.12 driver update for creative design applications such as 3D modelling and simulation. There are some benchmarks published here.
So now I’m wondering, have these optimisations significantly increased the computational (CUDA) performance of the Titan Xp in general? Or are they application specific? and would there be any increased performance for machine learning applications (cuDNN)?