PagedAttention: The Memory Illusion in LLM Inference
中文摘要
PagedAttention 通过类虚拟内存机制优化 LLM 推理中的 KV 缓存管理，有效减少内存碎片并提升部署效率。
English Summary
PagedAttention optimizes LLM inference by managing KV cache like virtual memory, reducing fragmentation and improving efficiency for real-world deployment.
原文节选
Large Language Models (LLMs) are becoming more capable and powerful every day. However, when we take these models to the real world… Continue reading on Medium »