finops

Managing and optimizing the cost of AI systems in production, from token consumption and model selection to infrastructure spend. Coverage here connects engineering decisions to financial outcomes: tracking per-task and per-token costs, attributing spend to teams and workloads, and building the visibility needed to prove ROI. Expect practical approaches to budgeting, forecasting usage growth, and controlling the runaway expenses that come with scaling agents and inference.