Running GLM5.2 on budget hardware < $2500.

Reddit r/LocalLLaMA Tools
budget-hardware glm5.2 open-source llama.cpp self-hosted ai-inference gpu-setup

Summary

A guide showing how to build a system under $2500 using used server components to run GLM5.2 and other large AI models locally, with trade-offs in speed.

Too many times I hear people whine about not being ble to run SOTA models or claim it would require $50k, or $100k. https://www.ebay.com/itm/398079051468 Epcy Motherboard & CPU - $460 https://www.ebay.com/itm/206374955959 P40 24gb - $230 get 2 - $460 https://www.ebay.com/itm/318489798853 512gb dd4 $1000 Total = $1920. You need PSU, Storage, Fan for P40. You can source those for $350 easily. But let's go ahead and budget $580 to put the total for everything at $2500. You can run GLM5.2 Q2/Q3/Q4 variants with cmoe and llama.cpp on this. Sure, it would be slow, but it's yours! If you have money or when you get more, you can replace the P40s faster GPUs 4080, 3090, etc. You could for a bit more than $460 about $500 source 2 2080ti 22gb GPUs from China. If you are willing to be resourceful, you can make things happen for you. This will also run KimiK2.6, DeepSeek, MiniMax, etc Yes, the trade off is that it's slow. You will not be running agents with these huge models, but you can spin it up for planning and serious debugging. They can take away Fable, Mythos or whatever the F model. You will not be counted in the group of have nots.
Original Article

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