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Comment on The Nvidia DGX-1 Deep Learning Supercomputer in a Box

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Note the P100 is 20 Tflops for half precision (16 bit). For general purpose GPU (I use them for EM simulation) I assume one would want 32-bit, which is 10 Tflops. But still looks much much better for 64-bit computations than the previous generation

Curious. Why do you post here when every other comment is random posturing?

They were touting 20 Tflops, but that's only for FP16, which isn't useful for many engineering computations that use GPU. I already can hit 2 Tflop F32 with two K20. It's a nice improvement over what I have now, but nothing astronomical.

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