llminference

Efficient Memory Management for Large Language Model Serving with PagedAttention

How PagedAttention (the memory manager behind vLLM) applies OS-style virtual-memory paging to the KV cache — fixed-size blocks, a block table, and copy-on-write prefix sharing — to eliminate fragmentation and dramatically raise LLM serving throughput.