Continuous Batching Beats Static and Dynamic by Up to 2.91× in vLLM
For anyone running an inference server: a zero-variance control, five traffic traces, and an engine-vs-scheduler split show where the gains come from. The post Continuous Batching Beats Static and Dynamic by Up to 2.91× in vLLM appeared first on Towards Data Science.
Original Source
Read the full article at Towardsdatascience →KhanList aggregates and links to publicly available news content. We do not host full articles from third-party sources. Always verify important information with original sources.