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For learning about clustering, sure, go wild. Or maybe use the latest and greatest Pi (is that Pi4 ATM?) to avoid issues with extremely low end stuff (e.g. even
by jabl 5y ago
For learning about clustering, sure, go wild. Or maybe use the latest and greatest Pi (is that Pi4 ATM?) to avoid issues with extremely low end stuff (e.g. even disregarding applications, can you run a "cluster stack" on this without OOM etc.?).
For "real work", nope, not worth it. For that, look into what e.g. the giant IAAS providers (AWS, Azure, GCP) or the top500 list are running on.
- jb1991 5y ago> look into what e.g. the giant IAAS providers How do you find that out?
- jabl 5y agoWell, occasionally they give presentations describing their hardware infrastructure. And you can deduce something from their documentation about available VM types. Anyway, the idea wasn't to give an exact recipe but rather to give a glimpse on what is generally considered a cost-effective compute platform.