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Azure AI Foundry Cost Optimization: Caching & KV-Cache Reuse
Quick Answer
Azure AI Foundry cost optimization: By orchestrating caching, KV‑Cache reuse, intent‑based routing, and micro‑batching, a .NET LLM service on Azure AI Foundry can cut token spend by 50% while keeping latency under SLA.
Missing Execution Fabric Drives Token Costs
When you expose an LLM as a stateless HTTP endpoint, every query is a fresh token‑cost. In a .NET microservice that scales to thousands of requests per second, the bill can outpace user growth within week...
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