Industry
Advanced Prompt Caching at Scale
Prompt caching delivers significant efficiency gains at a single replica, but under standard round-robin load balancing, a request with an identical prefix has only a 1/N chance of hitting the repl...
Prompt caching delivers significant efficiency gains at a single replica, but under standard round-robin load balancing, a request with an identical prefix has only a 1/N chance of hitting the replica where that prefix is already cached, causing cache hit rates to degrade nearly linearly as fleet size grows. To counteract this, architectural strategies such as session affinity (routing user sessions consistently to the same replica), tiered prefix caching (separating broadly shared instruction prefixes from session-specific ones), and prefix-aware load balancing (using consistent hashing to pin requests by task type) can preserve high cache utilization at scale. When implemented correctly, these approaches can yield 50–90% discounts on cached input tokens and reduce time-to-first-token latency by up to 80%; for multi-task deployments, application-layer exact-match or semantic response caches (e.g., Redis) can further skip inference entirely for repeated queries.
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Source: industry