[fffobar]

Most of the code ran in large datacenters isn't classic HPC. It's cloud workloads serving live traffic or running database backends or some analytical pipelines/queries running over the stored data.

Deep ML is about the only thing that's both large and "classic parallelizable HPC".

[dotnet00]

I was talking about scientific code, as that's what I have experience with. There a ton of work is large and parallelizable. Molecular dynamics, physical optics, magnetostatics, fluid simulations etc all benefit a lot from large scale parallelization/GPU support.

[fffobar]

Yeah, but that's the minority on a global scale.