Deploying LLM Pipelines Without Breaking the Bank
The Cost Problem in Production AI
Production inference cost depends on traffic, prompt and response size, model mix, retries, evaluation, and supporting infrastructure. Build a workload-specific cost model and measure it under representative load before setting a budget.
Semantic Caching
Semantic caching can reduce repeated inference for suitable workloads, but savings and quality effects vary. Evaluate hit rate, freshness, authorization boundaries, invalidation, privacy, and answer quality before enabling it.
Model Routing
Not every request requires the same model. Routing may reduce cost, but each route needs quality, safety, latency, and fallback evaluations on representative tasks. Report measured savings for the selected workload rather than a generic percentage.
ActiveMotion Team
AI Research
The ActiveMotion engineering and research team
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