> > Comparing the P100 and 1080Ti as if the latter is the consumer version of the former is not useful. They are profoundly different chips.
> I couldn't disagree more. The chips are similar enough that most deep learning applications could run on either. Really the only reason to choose P100 for deep learning with the ridiculous prices Nvidia is charging would be memory capacity and bandwidth with the FP16 advantage.
Sure, but there are more applications than just deep learning which is where things get fuzzy. The P100 and 1080TI are fundamentally different for anything relating to FP64. I think the point of the GP is, or would hope it is, not to collapse comparisons to the case of deep learning when things like scientific computing make the comparisons necessarily more nuanced.
> I couldn't disagree more. The chips are similar enough that most deep learning applications could run on either. Really the only reason to choose P100 for deep learning with the ridiculous prices Nvidia is charging would be memory capacity and bandwidth with the FP16 advantage.
Sure, but there are more applications than just deep learning which is where things get fuzzy. The P100 and 1080TI are fundamentally different for anything relating to FP64. I think the point of the GP is, or would hope it is, not to collapse comparisons to the case of deep learning when things like scientific computing make the comparisons necessarily more nuanced.