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cpu_busy_waiting
performance-cpu-busy-waiting-when-vllm-server-is-idle-with-tensor-parallelism-e-0a5ca0dc
IFWhen vLLM server is idle with tensor parallelism enabled (e.g., --tensor-parallel-size 2 or more), two CPU cores remain at 100% usage due to busy-waiting in the shared memory broadcast mechanism.
THENApply the fix from vllm PR #16226 to the file `vllm/distributed/device_communicators/shm_broadcast.py`. The patch replaces a busy-wait loop with a proper condition variable wait, eliminating unnecessary CPU consumption. For Docker deployments, exec into the container, edit the file directly, then restart the container.
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