Episode Details

Back to Episodes

AI FinOps: Why GPUs are expensive (and often wasted)

Published 7 months, 3 weeks ago
Description

Send us Fan Mail

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.



Listen Now

Love PodBriefly?

If you like Podbriefly.com, please consider donating to support the ongoing development.

Support Us