I regret building this $3000 Pi AI cluster

I thought the conclusion should have been obvious: A cluster of Raspberry Pi units is an expensive nerd indulgence for fun, not an actual pathway to high performance compute. I don’t know if anyone building a Pi cluster actually goes into it thinking it’s going to be a cost effective endeavor, do they? Maybe this is just YouTube-style headline writing spilling over to the blog for the clicks.

If your goal is to play with or learn on a cluster of Linux machines, the cost effective way to do it is to buy a desktop consumer CPU, install a hypervisor, and create a lot of VMs. It’s not as satisfying as plugging cables into different Raspberry Pi units and connecting them all together if that’s your thing, but once you’re in the terminal the desktop CPU, RAM, and flexibility of the system will be appreciated.

The cost effective way to do it is in the cloud. Because there's a very good chance you'll learn everything you intended to learn and then get bored with it long before your cloud compute bill reaches the price of a desktop with even fairly modest specs for this purpose.

I can get a Xeon E5-2690V4 with 28 threads and 64GB of RAM for about $150. If you need cores and memory to make a lot of VMs you can do it extremely cheaply

It will probably consume $150 worth of electricity in less than a month, even sitting idle :-\

The internet says 100W idle, so maybe more like $40-50 electricity, depending on where you live could be cheaper could be more expensive.

Makes me wonder if I should unplug more stuff when on vacation.

I was surprised to find out that my apartment pulls 80-100W when everything is seemingly down during the night. A tiny light here and there, several displays in sleep mode, a desktop idling (mere 15W, but), a laptop charging, several phones charging, etc, the fridge switches on for a short moment. The many small amounts add up to something considerable.