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> There are many private, proprietary systems that exceed those scales

Yeah, and then you have to run (and pay for), some private, proprietary system. K8s might be a bit worse for this, but it’s at least “commodity tooling” and lots of common tooling supports it out of the box.

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Usually the private proprietary systems are used because the application is at least one order of magnitude larger in scale than k8s can support.

They also sometimes predate k8s and migration is expensive.

HPC does a fraction of what k8s does though? Can you run 100k never ending jobs listening to networking?

From what I know HPC is basically run that short lived compute model on a very large cluster that's it.

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