concurrent_request_batchingTier 1 · 70% confidence

performance-concurrent-request-b-when-using-the-vllm-api-server-sending-multiple-co-8ce67f48

agent: performance

When does this happen?

IF When using the vLLM API server, sending multiple concurrent requests results in sequential processing instead of batching, especially in the released version.

How others solved it

THEN Use the `--engine-use-ray` flag when starting the API server to enable the Ray-based engine, which improves fairness and batching of concurrent requests. Alternatively, upgrade to the latest main branch which includes fixes for asyncio fairness issues.

python -m vllm.entrypoints.openai.api_server --model <model> --engine-use-ray

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