this post was submitted on 22 Sep 2025
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Lemmy Shitpost

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Welcome to Lemmy Shitpost. Here you can shitpost to your hearts content.

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[–] Trainguyrom@reddthat.com 18 points 2 days ago (1 children)

I bought a pallet of computers at an auction at a local college for $250 a year or two ago. HP Elitedesk GenIIs specifically (4th Gen i5, 8GB of RAM, 256gb SSDs, and space for add in cards and more drives if needed) I did not expect my throwaway bid to win but it did. So now I have a bunch of computers. I have some projects in mind, but honestly I've mostly been tossing them to friends and family when they need a computer for something. Eventually they'll all be allocated, sold and given away but it's certainly taking a bit

[–] WorldsDumbestMan@lemmy.today 3 points 1 day ago (1 children)

You can't like connect them together and make an AI server with them?

[–] Trainguyrom@reddthat.com 1 points 1 day ago

I've not seen freely available software to split such a workload across multiple machines, but realistically if I did I'd be looking at less performance that if I just got a single used datacenter card (like one of the Nvidia Tesla cards) off eBay for the same price and popped it into a computer, or if I got a single much more modern server.

I can however cluster them in fun ways for redundancy! Most hypervisors support clustering so that VMs can be migrated to another host if one needs to be taken offline for anything, or if one unexpectedly powes off the others will continue the workload. Or clustered storage where it spreads the storage across multiple hosts for redundancy as well as speed. I definitely want to get some of those old 25GB or even some of those 40GB infiniband cards and run a glusterFS or Ceph cluster to really see what clustered storage can do (I ran a Ceph cluster in a lab in college but it was over a gigabit network so everything was painfully slow)

But those projects will account for only about a dozen computers at most, so I have to find more projects and more willing people to have these systems foisted upon