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What would be the cheapest and most cost-effeciant way of self hosting LLMs (lemmy.world)
submitted 5 months ago by ad_on_is@lemmy.world to c/selfhosted@lemmy.world
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I've a minipc running an AMD 5700U where I host some services, including ollama and openwebui.

Unfortunately the support of rocm isn't quite there yet and not to mention that of mobile GPUs.

Surprisingly the prompts work when configured to use the CPU, but the speed is just... well, not good.

So, what'd be a cheap and energy efficient setup to run sone kind of LLM for personal use, but still get decent speed?

I was thinking about getting an e-gpu case, but I'm not sure about how solid this would end up.

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[-] bruhduh@lemmy.world 7 points 5 months ago

Chinese mining motherboard with any xeon cpu (because of abundance of PCI lanes in cpu) and 12x16gb nvidia p100 and nvlink bridges (p40 gives 24gb of vram but doesn't have nvlink capabilities and slower gddr5 memory, p100 have hbm memory on the contrary which is good for llm) and 8x64gb ddr4 ecc ram, if you buy gpus from ebay and other components such as motherboard, CPU, ram, and ssd from AliExpress it comes quite cheap

[-] barsquid@lemmy.world 1 points 5 months ago

Aren't those all old-ish sockets with Xeons that top out at like 40 PCIe lanes?

[-] bruhduh@lemmy.world 2 points 5 months ago

Problem is, new i7/i9 top out at 24 pcie lanes so old xeons is still bang for the buck in homelab sector

[-] bruhduh@lemmy.world 2 points 5 months ago

Mining boards give about 1-2 pci lanes per gpu because there's a lot of gpus, also look up Nvidia mining gpus, they restricted to pcie x1 or/and x4 even if you put them into x16 slot

[-] Lemongrab@lemmy.one 1 points 5 months ago* (last edited 5 months ago)

Jesus. Kinda overkill depending on how many parameters the model is and the float precision

this post was submitted on 29 May 2024
34 points (84.0% liked)

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