AI Inference Economics Placeholder

Why $/GPU-Hour Is the Wrong Number to Optimize

GPU hourly pricing is easy to compare and easy to get wrong. A framework for evaluating AI inference infrastructure on cost per unit of output instead.

Syntavise · Unpublished draft · Placeholder

Placeholder article. This is a structural placeholder illustrating the Insights format. Replace with a verified, published article before launch. No figures or benchmark results appear here by design.

Outline

Why hourly GPU pricing became the default comparison
What it leaves out: utilization, batching, memory headroom, traffic shape
Defining the unit of output for your application
Building a cost-per-unit model that a CFO and a CTO both trust
What to measure before and after an infrastructure change

Next step

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