When GPU utilization lies: The FinOps blind spot in secure AI training

The excerpt explains how FinOps practices can misinterpret low GPU utilization during privacy-preserving AI training—where underutilization may indicate memory-bound bottlenecks rather than excess capacity—and warns that naive cloud cost-optimization can slow jobs and increase costs, framing the issue as a cloud governance concern for CIOs.