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Dual GPU llama.cpp tests reveal PCIe transfer differences between tensor and pipeline parallel

A Reddit user conducted tests on a dual-GPU setup using llama.cpp to measure PCIe transfer speeds under different parallelization strategies. The tests compared tensor parallel and pipeline parallel configurations, revealing that tensor parallel offered higher decode speeds (47 t/s vs. 30 t/s) while pipeline parallel achieved faster prefill speeds (1250 t/s vs. 650 t/s). The user concluded that PCIe risers might not be a significant bottleneck for tensor parallel setups, suggesting they could be a viable option for future hardware expansions. AI

IMPACT Provides insights into hardware configurations for running large language models locally, potentially guiding users on optimizing performance and hardware purchases.

RANK_REASON User-conducted benchmark and analysis of hardware performance for a specific software. [lever_c_demoted from research: ic=1 ai=0.7]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Dual GPU llama.cpp tests reveal PCIe transfer differences between tensor and pipeline parallel

COVERAGE [1]

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

    Measuring PCIe transfer under dual GPU with pipeline & tensor llama.cpp

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1utz50z/measuring_pcie_transfer_under_dual_gpu_with/"> <img alt="Measuring PCIe transfer under dual GPU with pipeline &amp; tensor llama.cpp" src="https://preview.redd.it/t28n6nxiooch1.png?width=140&amp;height…