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nvidia-smi clock locking fixes Windows multi-GPU lag

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nvidia-smi clock locking fixes Windows multi-GPU lag
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// 56d agoTUTORIAL

nvidia-smi clock locking fixes Windows multi-GPU lag

Windows power management downclocks idle secondary GPUs during pipeline-parallel inference, causing significant performance drops. Manually locking GPU and memory clocks via nvidia-smi ensures cards remain in high-performance states for consistent tokens-per-second.

// ANALYSIS

Windows remains a challenging environment for multi-GPU local LLM setups due to aggressive gaming-centric power management. Pipeline parallelization creates micro-gaps that trigger power-saving states on cards waiting for layer work, making clock stability a more frequent performance killer than PCIe bottlenecks. This optimization is essential for mixed rigs or non-NVLink setups where synchronization overhead is higher.

// TAGS
nvidia-gpu-clock-lockinglocalllmnvidiawindowsoptimizationmultigpurtx3060qweninference

DISCOVERED

56d ago

2026-04-01

PUBLISHED

56d ago

2026-04-01

RELEVANCE

8/ 10

AUTHOR

dero_name