LocalLLaMA

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Community to discuss about Llama, the family of large language models created by Meta AI.

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How bottlenecked are LLMs by CPU clock? (Budget options to host multiple GPUs) (alien.top)

submitted 9 months ago by Infinite100p@alien.top to c/localllama@poweruser.forum

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Running multiple GPUs requires PCIe lanes. Consumer PCs have too few of those to even run 2x GPUs at full bandwidth (2x16).

Threadrippers are prohibitively expensive for many.

AMD have announced EPYC 8004 Siena in September. These low-power server CPUs start at 8 cores @ ~$400 and offer 96 lanes. The catch is that the clock is pretty low.

So, the question is: How bottlenecked are LLMs by CPU clock?

I.e., would it make much of a difference if you run 4x 3090s on the $2000+ Threadripper vs $400 Epyc 8004?

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[–] JustOneAvailableName@alien.top 1 points 9 months ago

I don’t even think lanes really matter when you’re not training.