What Does This Mean?
The actual computational and financial cost of running a model to produce one response, treated as a real constraint teams have to budget for rather than an invisible background expense.
EXPLAINER

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REAL-WORLD EXAMPLE
"Inference cost on that model quietly tripled once usage scaled, nobody noticed until the bill came."
LORE & ORIGIN
Standard ML infrastructure terminology ('inference' = running a trained model) applied directly once teams needed to talk about per-response cost as a real line item.
EQUIVALENT CONCEPTS IN OTHER LANGUAGES
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