I completely agree for most cases. In many scientific computing applications, compute time isn’t the factor you prioritize in the good/fast/cheap triad. Instead

I completely agree for most cases. In many scientific computing applications, compute time isn’t the factor you prioritize in the good/fast/cheap triad. Instead, you often need to do things as cheaply as possible. And your data access isn’t always predictable, so you need to keep results around for an extended period of time. This makes storage costs a major factor. For us, this alone was enough to move workloads away from cloud and onto local resources.