vLLM Semantic Router + Milvus: How Semantic Routing and Caching Build Scalable AI Systems the Smart Way
· 9 min read
Most AI apps rely on a single model for every request. But that approach quickly runs into limits. Large models are powerful yet expensive, even when they're used for simple queries. Smaller models are cheaper and faster but can't handle complex reasoning. When traffic surges—say your AI app suddenly goes viral with ten million users overnight—the inefficiency of this one-model-for-all setup becomes painfully apparent. Latency spikes, GPU bills explode, and the model that ran fine yesterday starts gasping for air.
