Re:AWS doesn't make sense for scientific computing
by killingtime74 on Friday October 07, 2022 @02:21PM
(#33125067)
Aren't you talking about 1 server when this is talking about HPC?
Re:AWS doesn't make sense for scientific computing
by noobermin on Friday October 07, 2022 @02:32PM
(#33125188)
Why is this being downvoted?
HPC isn't jupyter notebooks on a workstation. I wish the 100GB output files (per timestep, some of my simulations produced 100+ of them) could fit on a jupyterhub instance because it would make life much easier.
Re:AWS doesn't make sense for scientific computing
by mangecoeur on Friday October 07, 2022 @03:34PM
(#33125905)
Well the title is scientific computing, which includes HPC but not only. Anyway the fact is that a lot of "HPC" in university clusters is smaller jobs that are too much for an average PC to handle, but still fit into a single typical HPC node. These are usually the jobs that people think to farm out to AWS, but that you will generally find are cheaper, faster, and more reliable if you just run them on your own hardware.
Classic big workstations are way more capable than people think - but at the same time it's hard to justify buying one machine per user unless your department is swimming in money. Also, academic budgets tend to come in fixed chunks, and university IT departments may not have your particular group as a priority - so often it's just better to invest once in a standalone server tower that you can set up to do exactly what you need it to than try to get IT to support your needs or the accounting department to pay recurring AWS bills.