English(EN) Your KV Cache Grows With Every Token. Four Knobs Keep It on the GPU.

KV 缓存管理：为 LLM 优化 GPU 内存

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-15 15:01

KV 缓存是大型语言模型的一个关键组成部分，它会随着处理的每个 token 而扩展，可能消耗大量 GPU 内存。本文探讨了四个可调参数，这些参数有助于管理 KV 缓存大小并将其保留在 GPU 上。一个特定参数会急剧降低长上下文回忆性能，将其从 91% 降至低至 13%。 AI

影响优化 KV 缓存可以提高 LLM 推理速度和效率，从而在现有硬件上实现更大的上下文窗口。

排序理由详细介绍优化 LLM 推理基础设施方法的技术文章。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 27 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 详细介绍优化 LLM 推理基础设施方法的技术文章。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

Towards AI TIER_1 English(EN) · Satsawat Natakarnkitkul (Net) · 2026-09-15 15:01

您的 KV 缓存随每个 Token 增长。四个旋钮将其保留在 GPU 上。

<div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/your-kv-cache-grows-with-every-token-four-knobs-keep-it-on-the-gpu-29fbbc0f4beb?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/1280/1*8yL8YuTOtte_2P9O_eYWD…