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I've been running a group server (basically a shared workstation) for 5 years and it's been great. Way cheaper than cloud, no worrying about national rules on w
by mangecoeur 4y ago
I've been running a group server (basically a shared workstation) for 5 years and it's been great. Way cheaper than cloud, no worrying about national rules on where data can be stored, no waiting in a SLURM batch queue, Jupyter notebooks on tap for everyone. A single $~6k outlay (we don't need GPUs which helps).
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.
- killingtime74 4y agoAren't you talking about 1 server when this is talking about HPC?
- deleted 4y ago[deleted]
- mangecoeur 4y agoWell 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.