Maximizing Prompt Cache Hits: Paged Attention Mechanics & Practical Tips
dejavucoder · x · 2026-08-23
This post dives deep into LLM inference optimization, specifically how Prompt Caching works. It explains vLLM's Paged Attention technique and Automatic Prefix Caching, covering fundamentals like Prefill, Decode, and KV Cache. The author analyzes memory bottlenecks in traditional caching and shares practical tips on structuring prompts—especially in chat-with-tools contexts—to maximize cache hits and reduce costs.
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