DeepSeek(@deepseek_ai)

💾 Smaller KV cache. Bigger savings. Compared with the previous generation, V4.1-Flash’s KV cache n...

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💾 Smaller KV cache. Bigger savings. Compared with the previous generation, V4.1-Flash’s KV cache n...

TL;DR · AI 摘要

DeepSeek的V4.1-Flash通过减少KV缓存的存储需求，显著降低运营成本。

核心要点

  • V4.1-Flash的KV缓存仅需上一代1/4的HBM和1/8的SSD存储
  • 缓存命中费用占代理成本较大比例，压缩缓存可显著降低成本
  • 存储优化技术直接影响大模型推理的经济性

结构提纲

按章节快速跳转。

  1. §技术突破

    V4.1-Flash实现KV缓存存储需求的大幅降低

  2. ·存储对比

    HBM需求减少75%，SSD存储需求减少87.5%

  3. ›成本影响

    缓存命中费用占代理成本主要部分

  4. ·优化价值

    压缩缓存技术显著降低运营成本

思维导图

用一张图看清主题之间的关系。

查看大纲文本（无障碍 / 无 JS 友好）
  • KV缓存优化
    • 存储需求降低
      • HBM减少75%
      • SSD减少87.5%
    • 成本影响
      • 缓存命中费用占比高
      • 压缩技术降本

金句 / Highlights

值得收藏与分享的关键句。

#KV缓存#存储优化#深度学习#成本控制
打开原文

DeepSeek on X: "💾 Smaller KV cache. Bigger savings. Compared with the previous generation, V4.1-Flash’s KV cache needs just: 🔹 1/4 the HBM 🔹 1/8 the SSD storage Cache-hit charges often account for a large share of agent costs. Compressing the cache cuts those costs significantly. 3/6" / X

DeepSeek

@deepseek_ai

💾 Smaller KV cache. Bigger savings. Compared with the previous generation, V4.1-Flash’s KV cache needs just: 🔹 1/4 the HBM 🔹 1/8 the SSD storage Cache-hit charges often account for a large share of agent costs. Compressing the cache cuts those costs significantly. 3/6

6:10 AM · Sep 10, 2026

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