Why Adding More AI Agents Made Our System Slower
中文摘要
增加数百个LLM智能体时，异步系统中的微小CPU任务成为了性能瓶颈，导致系统速度反而降低。
English Summary
Scaling hundreds of LLM agents revealed that tiny CPU tasks in asynchronous systems can become major performance bottlenecks, slowing down the system.
Original Excerpt
The hidden cost of asynchronous systems, how tiny CPU tasks quietly became our biggest bottleneck while scaling hundreds of LLM agents. The post Why Adding More AI Agents Made Our System Slower appeared first on Towards Data Science.