this post was submitted on 09 Apr 2025
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How to use GPUs over multiple computers for local AI? (lemmy.dbzer0.com)
submitted 1 year ago by marauding_gibberish142@lemmy.dbzer0.com to c/selfhosted@lemmy.world
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The problem is simple: consumer motherboards don't have that many PCIe slots, and consumer CPUs don't have enough lanes to run 3+ GPUs at full PCIe gen 3 or gen 4 speeds.

My idea was to buy 3-4 computers for cheap, slot a GPU into each of them and use 4 of them in tandem. I imagine this will require some sort of agent running on each node which will be connected through a 10Gbe network. I can get a 10Gbe network running for this project.

Does Ollama or any other local AI project support this? Getting a server motherboard with CPU is going to get expensive very quickly, but this would be a great alternative.

Thanks

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[–] marauding_gibberish142@lemmy.dbzer0.com 2 points 1 year ago (3 children)

I'm not going to do anything enterprise. I'm not sure how people seem to think of it this way when I didn't even mention it.

I plan to use 4 GPUs with 16-24GB VRAM each to run smaller 24B models.

[–] False@lemmy.world 6 points 1 year ago (1 children)

I didn't say you were, I said you were asking about a topic that enters that area.

[–] WhyJiffie@sh.itjust.works 4 points 1 year ago (1 children)

well that looks like small enterprise scale

[–] marauding_gibberish142@lemmy.dbzer0.com 1 points 1 year ago (1 children)

If you consider 4 B580s as enterprise, sure I guess

[–] WhyJiffie@sh.itjust.works 1 points 1 year ago

not that, but 4 GPUs with 16-24GB VRAM I do

[–] Xanza@lemm.ee 0 points 1 year ago (1 children)

I’m not going to do anything enterprise.

You are, though. You're creating a GPU cluster for generative AI which is an enterprise endeavor...

[–] marauding_gibberish142@lemmy.dbzer0.com 2 points 1 year ago

Specifically because PCIe slots go for a premium on motherboards and CPU architectures. If I didn't have to worry about PCIe I wouldn't care about a networked AI cluster. But yes, I accept what you say