FinOps for AI: Best Practices, KPIs and Metrics

This guide explains how organizations can manage AI spending through FinOps principles adapted for GPU, token, and inference costs. The article outlines cost drivers unique to AI workloads, recommends essential KPIs like cost-per-inference and AI ROI, and provides a practical maturity framework moving from basic visibility through continuous optimization.