How are you tracking GPU utilization per model?

We run mixed inference workloads and our GPU dashboards are mostly node-level, not per-model. Finance wants cost per endpoint, but noisy neighbors and batch jobs make attribution fuzzy. What are people using for per-model GPU utilization and cost attribution without adding heavy instrumentation? Are you relying on DCGM, Prometheus labels, gateway logs, or vendor tooling? Also curious how you