技术2026年4月26日
The Case Against Batching: Why Large Batches Kill LLM Inference Performance in Production
Most LLM inference guides recommend large batches for throughput, but in production — with bursty traffic, P99 latency requirements, and variable sequence lengths — large batches actively hurt performance. This article explains the four mechanisms and offers concrete alternatives.
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