๐Ÿฆ™Stalecollected in 37m

x570 Multi-GPU: Swap CUDA Order to Double Prompt Speed

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๐Ÿฆ™Read original on Reddit r/LocalLLaMA

๐Ÿ’กFree 2x prompt speed on x570 dual-GPU llama.cpp setups (70โ†’140 t/s)!

โšก 30-Second TL;DR

What Changed

Default CUDA0 on x570 assigns to x4 lane, slowing prompt eval on dual 3090s.

Why It Matters

Free perf boost for x570 dual-GPU users running local LLMs, especially MoE, without hardware changes. Many in r/LocalLLaMA community can benefit immediately.

What To Do Next

Use nvtop to identify PCI-E lanes per GPU, then set CUDA_VISIBLE_DEVICES to prioritize x16 slot in your llama.cpp script.

Who should care:Developers & AI Engineers

๐Ÿง  Deep Insight

Web-grounded analysis with 7 cited sources.

๐Ÿ”‘ Enhanced Key Takeaways

  • โ€ขX570 chipsets provide 16 additional PCIe 4.0 lanes beyond the CPU's 24 lanes, but these are accessed through a single x4 connection to the CPU, creating a bandwidth bottleneck for devices on the chipset[1].
  • โ€ขAMD Ryzen AM4 CPUs provide 24 PCIe 4.0 lanes directly: typically x16 (or x8/x8 split) for GPU slots and x4 for M.2 NVMe, while secondary PCIe slots and M.2 slots connected to the chipset share the limited x4 chipset-to-CPU link[1][6].
  • โ€ขMotherboard BIOS bifurcation settings allow PCIe slot lane splitting (e.g., x16 to x8/x8), but this does not increase total lane count and may require manual configuration in UEFI settings[7].
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Original source: Reddit r/LocalLLaMA โ†—