Advanced Prompt Caching at Scale

Prompt caching reuses KV states across inference requests to save costs and reduce latency. At scale, round-robin load balancing gives only a 1/N chance of hitting a cached prefix. Proper architecture can achieve 50-90% discounts on cached tokens and 80% lower time-to-first-token latency.