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Dual GPU LLM Inference: PCIe 5.0 x8/x4 vs x8/x8 Speed Impact

A user on Reddit is inquiring about the potential impact of PCIe lane configurations on dual GPU inference speeds for large language models (LLMs). Specifically, they are concerned about performance differences between running two GPUs in an x8/x8 configuration versus an x8/x4 configuration, especially when models are fully loaded into VRAM or require partial offloading. The user is considering adding a SATA expansion card, which would necessitate the x8/x4 setup. AI

RANK_REASON This is a user question about hardware configuration for LLM inference, not a news event or release.

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Dual GPU LLM Inference: PCIe 5.0 x8/x4 vs x8/x8 Speed Impact

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  1. r/LocalLLaMA TIER_1 English(EN) · /u/PhantomWolf83 ·

    For dual GPUs, will there be any big impact to inference speeds when running in PCIe 5.0 x8/x4 vs x8/x8?

    <!-- SC_OFF --><div class="md"><p>I bought the Biostar Z890 Valkyrie because it was on sale and had three PCIe 5.0 slots connected to the CPU (x16 or x8/x8 or x8/x4/x4), which I thought would be great for running dual GPUs for LLM inference. The problem is that now I want to add …