Continuous Batching in LLMs: The Tech Behind vLLM's 23x Throughput Jump
blaizedsouza · x · 2026-08-14
This shared article clearly explains the mechanism of continuous batching in Large Language Models. It is the key technique behind vLLM's 23x throughput jump and has become the default scheduler in almost every serving engine.
The piece dives into the internals of the technology, covering the token budget, KV allocation, and the preemption mechanisms required to make it work efficiently.
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