PagedAttention, KV-Cache Paging, and Continuous Batching: How LLMs Master GPU Memory
中文摘要
详解PagedAttention、KV缓存分页与连续批处理如何优化LLM的GPU显存管理。
English Summary
Learn how PagedAttention, KV-cache paging, and continuous batching optimize GPU memory management for LLM inference engines.
原文节选
How does an inference engine actually organize and manage all these cached tokens efficiently? Continue reading on Medium »