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July 31, 2026
llmvllminferenceperformanceinfrastructure

vLLM

vLLM is a library for high-throughput and memory-efficient LLM serving and inference.

Key Innovations

  • PagedAttention: A new attention algorithm that manages attention keys and values (KV cache) more efficiently, similar to virtual memory paging in operating systems.
  • Dynamic Batching: Optimizes hardware utilization by grouping requests on the fly.

GitHub Repository