Even Load Balancing Is the Wrong Goal for LLM Inference
中文摘要
均匀负载均衡在大模型推理中可能适得其反，因为这会显著增加系统故障率。
English Summary
Even load balancing in LLM inference is counterproductive, as spreading resources too evenly can significantly increase system failure rates.
原文节选
A production LLM router spread memory across backends eight times more evenly than mine did. It also failed five times as often. That… Continue reading on Medium »