--- title: "Rethinking KV Caching For Production Inference" url: https://daily.dev/posts/rethinking-kv-caching-for-production-inference-1px3uv98r source_url: https://blog.dailydoseofds.com/p/rethinking-kv-caching-for-production type: article source: "Daily Dose of Data Science | Avi Chawla | Substack" published: 2026-07-07T16:56:57.534Z updated: 2026-07-07T16:57:21.813Z tags: ["rag", "ai-inference", "vllm"] reading_time: 9 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Rethinking KV Caching For Production Inference **[Daily Dose of Data Science \| Avi Chawla \| Substack](https://daily.dev/sources/dailydoseofds)** · 9 min read · 0 upvotes · 0 comments ## Summary Stanford research found ~62% of tokens sent to AI agents on every call is repeated content, yet most inference systems recompute KV vectors from scratch each time. Prefix caching helps but has a hard ceiling: any change to the cached prefix causes a full miss, breaking RAG multi-document queries, reordered documents, and growing conversation histories. LMCache is an open-source project (10k+ stars) that disaggregates cache management into a separate process, eliminating resource contention with inference. It uses shared GPU memory, zero-copy cross-GPU sharing, and parallel multi-tier loading (GPU, CPU, SSD, remote storage). On H200 GPUs with Qwen3-235B and 50 concurrent users, it delivers 14x faster time-to-first-token and 4x faster decoding. The companion research CacheBlend (EuroSys 2025 Best Paper) solves the prefix-matching limitation by selectively recomputing only the small fraction of tokens with cross-document attention, giving 2-4x faster multi-document processing with no quality loss. LMCache ships with Prometheus/OpenTelemetry, a Kubernetes operator, and fault-tolerant failover. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [GKE Inference Gateway prefix caching accelerates AI inference](https://daily.dev/posts/gke-inference-gateway-prefix-caching-accelerates-ai-inference-qyjrx3igz) · Google Cloud · 1 upvotes · 0 comments - [The Complete Guide to Inference Caching in LLMs](https://daily.dev/posts/the-complete-guide-to-inference-caching-in-llms-uh6o61eic) · Machine Learning Mastery · 1 upvotes · 0 comments --- Tags: [#rag](https://daily.dev/tags/rag), [#ai-inference](https://daily.dev/tags/ai-inference), [#vllm](https://daily.dev/tags/vllm) [View this post on daily.dev](https://daily.dev/posts/rethinking-kv-caching-for-production-inference-1px3uv98r)