RunPod introduced cost centers for tracking GPU spend across teams. The feature gives organizations a way to see where infrastructure costs are being generated inside the platform.

GPU budgets can become hard to control as more teams run inference, fine-tuning, and experimentation workloads. Cost centers help finance and engineering teams connect spend to projects or owners.

The update reflects a broader maturity shift in AI infrastructure: cost governance is becoming a core product feature rather than an external spreadsheet exercise.