Nvidia will build 700-petaflop supercomputer for University of Florida

Re:Nvidia will build 700-petaflop supercomputer for Universi... by nl on Friday July 24, 2020 @10:10AM (#23939708)

The only non-NVidia device you can actually use that has broad support outside basic models in software is Google's TPUs.

Graphcore looks great! But no one outside Graphcore has used them so who knows. Intel's Nervana looked great on paper, right up until they dumped it.

There are some interesting accelerator options around for inference. But for training it's NVidia for almost everything, and TPUs as a good option is a few cases. But you can't buy TPUs (except for the inference-only Coral board), and universities like to own hardware.

[ Parent | on HN ]

Re:Nvidia will build 700-petaflop supercomputer for Universi... by rewq4321 on Monday July 27, 2020 @07:35AM (#23964109)

> But no one outside Graphcore has used them so who knows.

This part really confuses me. I'd love to try out their hardware, but the only cloud offering they had last time I checked made you rent a whole month's worth (for many thousands of dollars).

It seems like getting it in the hands of devs should be a top priority.

[ Parent | on HN ]