Categories

Artificial Intelligence

FinOps for AI workloads in 2026: the real pain

FinOps for AI counts different units than classic cloud FinOps: tokens, calls, computed embeddings and GPU time, all of which scale nonlinearly with use. The costliest habit is sending everything to frontier models; 40 to 70 percent of those calls run on mid-tier models with no noticeable quality loss. Uncached RAG and self-recursing agents do the rest.

Methodologies

FinOps: Controlling Cloud Cost Without Slowing the Team

FinOps turns cloud cost into an engineering discipline rather than a finance problem. The Inform-Optimize-Operate framework delivers per-team visibility, continuous waste reduction, and cost SLOs. Rigorous tagging and open-source tools like Kubecost or Infracost let teams regain control of the bill without slowing delivery.