the resistance big corporations have had over the past 10 years towards moving to the cloud is astounding. Everybody is so afraid of a mis-step and getting fired, their only strategy seems to be being luddites in the name of "tried and tested"
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as per a CERN acquaintance, they tried AWS and it didn't work - they hammer a node to capacity all the time, while AWS offering at the time was designed with sharing in mind
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the other reason physics computing is often done in-house is funding and - for large experiments buying hardware is easier than buying raw compute
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One can certainly design a cloud facility geared to HPC but will that investment justify the average cloud loads ?
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Mixed bag. Low latency interconnect is essential for much HPC. Also, data is an issue: both keeping it secure but also uploading/downloading large volumes of data is slow and expensive with cloud services. But I’m certain more HPC could be done in the cloud, lots of NIH syndrome
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Only Azure provided low latency interconnects last time I checked. Another problem is that cloud is simply waaaaay too expensive.
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As a user of HPC for numerical simulations I’d add that the whole ecosystem seems to be stuck with outdated licensing models and codes. Most of the leading simulation software vendors still charge per core! That’s so 80’s... today even the crappiest phone come with 4 cores.
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Cloud isn't necessarily cheaper.
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AI compute also on its way to Africa:https://twitter.com/JamesRutleys/status/1348622772348575748?s=19 …
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You'd be surprised how expensive the cloud is if you have a lot of computation to do. If you can keep your servers busy crunching numbers, it's definitively worth buying them, not renting.
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