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Aurornis ◴[] No.45302320[source]
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.

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bunderbunder ◴[] No.45302356[source]
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.
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1. aprdm ◴[] No.45302408[source]
That really depends on what you want to learn and how deep. If you're automating things before the hypervisor comes online or there's an OS running (e.g: working on datacenter automation, bare metal as a service) you will have many gaps
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2. leoc ◴[] No.45303384[source]
If you want to run something like GNS3 network simulation on a hosting service's hardware you'll either have to deal with hiring a bare-metal server or deal with nested virtualisation on other people's VM setups. Network simulation absolutely drinks RAM, too, so just filling an old Xeon with RAM starts to look very attractive in comparison to cloud providers who treat it an expensive upsell.