The KV Cache Tax: Why Inference Servers Run Out of Memory Before Compute
中文摘要
本文探讨了 KV 缓存如何导致 LLM 推理服务器显存先于计算资源耗尽，并提供 VRAM 预算公式与三种优化策略。
English Summary
This article explains why KV cache causes LLM inference servers to hit memory limits before compute, providing a VRAM budget formula and three optimization strategies.
原文节选
A VRAM budget formula for LLM serving, and three optimization strategies mapped to the traffic patterns that trigger the OOM. The post The KV Cache Tax: Why Inference Servers Run Out of Memory Before Compute appeared first on Towards Data Science.