Your KV Caching Is Broken
A practitioner's guide to KV cache management. How a modern caching architecture cuts input token costs by 90% and speeds up LLM inference b...
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#LMCache
4 篇笔记
AI INFRA 全景分析与展望
AI INFRA 全景分析与展望 深度调研日期：2026-06-24 | 来源：多源 Web 搜索 + 对抗验证（24 个搜索代理，15+ 源站，70+ 可验证 claims） 📐 全景架构定位图 ---|------| | 核心创新 | PagedAttention — OS 式虚拟内存分页管理 KV Cache，将显存碎片率从 40% 降至 ⚠️ 注意：vLLM 上游无法提供 day-0 R…
Optimizing distributed AI inference: Advanced deployment patterns
Learn about the three optimization levers for distributed AI inference: prefill/decode disaggregation, KV cache strategy, and speculative decoding.
vLLM + LMCache: A Starter Guide, No GPU Required
Get started easily: a single MacBook is all you need to develop vLLM + LMCacheFor New Contributors · Covering Frontend / L1 Eviction / L2 Storage / Observability If you ever skipped LMCache because you didn’t have a GPU on hand, this guide was written for you. LMCache’s multi-platform framework has already decoupled the GPU […]