12 Ways to Cut LLM Latency and Costs

A guide covers 12 practical ways to reduce LLM latency and inference costs in production. Key strategies include reducing output tokens, routing simple tasks to smaller models, combining sequential model calls, implementing prompt caching, and separating batch jobs from user-facing traffic. The focus is on cutting unnecessary work rather than adding more GPUs.