Cloud AI cost optimization is an architecture and purchasing problem, not a negotiation exercise. Four levers move the bill: model and inference selection, discount instruments such as commitments and spot capacity, token and workflow controls, and the elimination of idle GPU hours. Applied together, they attack training and inference spend …
Editorial team