Concept
vLLM
vLLM is an open-source inference and serving engine for large language models, originally from UC Berkeley. Think of it as a drop-in replacement for a naive model.generate() loop, except it is engineered to keep GPUs saturated when serving many concurrent requests.
The rest of “vLLM” is a premium feature: every concept in the library gets a precise, practitioner-focused write-up like this one, cross-linked straight from the paper summaries that use it.
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