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by NullifyNAN 8 days ago
It seems like you’re so close but yet so far. It’s interesting that you concluded that Claude makes it easier to run tasks locally but did not conclude that claude makes it easier to use the cluster. Feels we’re in need of a part 2 where you use CC to automate all of the mundane cluster work.

Also just a hot tip, if you’re able to keep any always-only PC on a university subnet (your PI should have some form of a server) you can use tailscale as a jump proxy and bypass the whole VPN dance.
2 comments
linksnapzz 8 days ago
> if you’re able to keep any always-only PC on a university subnet (your PI should have some form of a server) you can use tailscale as a jump proxy and bypass the whole VPN dance.

This is an excellent way to have yr. campus infosec ppl shut the network port on said server, and then take the hardware to get its OS install scrutinized, and get your accounts locked in the process.

Don't do this.

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whinvik 8 days ago
Yeah I came to the same conclusion.

Universities use all kinds of hard to setup stuff which are often custom built. Slurm configs, custom configured HPC servers etc. All of this pays off though if you need to do heavy computations which a local machine won't do.

IMO it would be better to make Claude build out something that makes interacting with the HPC much easier. A web UI, Tailscale whatever.

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frantathefranta 8 days ago
I mean Open OnDemand has been built for that purpose and is deployed in like 2000 locations at this point.

https://www.openondemand.org/

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