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AI is everywhere, but the real cost often stays hidden.

In this episode of DevOps Sauna, Pinja and Stefan dive into AI FinOps and explore why GPUs are expensive and why so much AI infrastructure ends up underutilized. They unpack hidden costs like idle hardware, power consumption, networking, and data movement, and explain why traditional Cloud FinOps doesn’t fully apply to AI workloads.

They also discuss how Kubernetes and Dynamic Resource Allocation (DRA) can help improve GPU utilization, and why visibility, ownership, and organizational maturity matter just as much as tooling.