It has to do with AI. There is a lot more processing going on now where
large problems are set up as matrix calculations specifically so they can
take advantage of the parallelism of GPUs. NVIDIA has been actively
encouraging this - for some reason. getting involved with the research into
frameworks like tensor flow. They can speed up some processes by 10 to 50
times - or so they claim. When you are solving a system of equations it is
relatively easy to break the work up is such a way that much of it can be
done in parallel and the GPU is good at that.

On Mon, Jul 13, 2020 at 11:19 PM William Park via talk <[email protected]>
wrote:

> Hi all,
>
> Perhaps off topics... I keep coming across "GPU in Data Centers", ie.
> Nvidia.  Exactly what does GPU have ANYTHING do with data centers?  I
> can't imagine people setting up a server in the cloud, and then using
> that to process graphics or play games.
> --
> William Park <[email protected]>
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