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I'm excited on behalf of the scientists I know for cloud HPC.

I see a lot of "develop program locally on tiny subset of data" followed by "how the hell am I ever going to run the full model for the final run on all the data!?"

A couple hours machine time leased on a behemoth is really the ticket, and not really that expensive.

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The cost of data egress from the cloud really limits its potential for most HPC applications, though. The "free" or reasonable-cost tiers are okay for small-scale toy use, but not much more than that.

For academia, all 3 major cloud providers have a data egress waiver - meaning that as long as data egress is less than 15% of the total bill then it is free.

Combine this with the fact that S3/Glacier make much more sense than local HDDs for long-term archiving and egress turns out not to be a significant factor in my experience.

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