Glossary
Inference economics.
Inference economics is the discipline of making production AI inference financially and operationally sustainable. It includes cost per token, watts per token, utilization, latency, cache efficiency, model choice, runtime selection, and infrastructure placement.
Why it matters
Enterprises need inference economics because AI pilots become expensive production systems once token volume, latency expectations, reliability, and governance requirements increase.
servescale.ai context
servescale.ai uses this concept to explain why enterprise inference needs a private, governed, model-aware, topology-aware, and economics-first control plane.
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