Best practiceEngineering managers, FinOps

Cutting GPU cost without cutting capability

Raise utilization, right-size, and use the right pricing — GPUs are the most expensive resource in the building.

The biggest waste is idle capacity. Reclaim it with partitioning (MIG/time-slicing), fair-share scheduling, and chargeback pressure; the Executive Center surfaces idle clusters and their reclaimable spend.

Right-size the hardware to the workload — inference rarely needs the biggest GPU, and FP8/INT8 quantization plus good batching raises throughput per dollar.

Match pricing to the pattern: committed/reserved for steady base load, spot/preemptible for resumable batch, on-demand only for spiky peaks.

costfinopsutilization