LLMOPS & AI INFRASTRUCTURE • 261 / 397

Operate AI like production: serving, GPUs, latency, capacity, routing and reliability.

Model Routing

Model routing chooses which model should handle a request based on task, cost, latency or policy.

Think of it like

Think of Model Routing like familiar infrastructure capacity and traffic engineering, except the scarce resources are often tokens, GPU memory and model latency.

Real life

High-scale AI services depend on Model Routing to keep cost and latency under control.

SRE lens

Simple classification can use a fast model while complex incident analysis uses a stronger one.

Remember thisModel routing chooses which model should handle a request based on task, cost, latency or policy.

Next conceptFallback Model

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