[r/LocalLLaMA] Running a 72B model across two machines with llama.cpp RPC — one of them I found at the dump

Summary

A user successfully ran a 72B language model locally by distributing it across two machines using `llama.cpp`'s RPC backend. This innovative approach allowed them to overcome the 24GB VRAM limitation of their primary RTX 3090, leveraging a second machine's GPU as additional VRAM over the network. Notably, one of the machines was a repurposed "dump find," showcasing a cost-effective method for running larger LLMs.

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