vLLM is an open-source library optimized for high-throughput serving of large language models in production. Its core innovation, PagedAttention, manages memory more efficiently by breaking the key-value cache into fixed-size pages instead of contiguous buffers, similar to virtual memory in operating systems. The tutorial
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