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Implement Granular GPU Cost Accounting

Turn your multi-million dollar GPU spend from an opaque operational cost into a predictable, optimizable investment. This pack shows you how to attribute every GPU cycle to a specific project, user, or model, enabling true ROI analysis and eliminating waste.

intermediate1 week5 steps
The play
  1. Audit Your Current Visibility Gap
    Review your latest cloud bill (AWS, GCP, Azure). Can you attribute the cost of a multi-GPU server to a specific training job, user, or team? Document the gap between the instance-level cost you see and the project-level insight you need. This defines your target.
  2. Enforce Workload Tagging at the Source
    Mandate a standard labeling policy for all GPU workloads in your scheduler (e.g., Kubernetes). At a minimum, every job must include `project-id`, `team-id`, and `user-id` labels. This metadata is the non-negotiable foundation for attribution.
  3. Deploy Granular Usage Monitoring
    Install a metrics exporter like NVIDIA's DCGM-Exporter for Prometheus on your GPU nodes. This tool scrapes per-container metrics like GPU utilization and memory usage, providing the raw data needed to move beyond simple instance-level, 'all-or-nothing' allocation tracking.
  4. Correlate Usage Data with Billing Data
    Create a process (e.g., a scheduled script or a FinOps platform integration) to join your cloud billing data with the Prometheus metrics. Use the workload labels (`project-id`) as the join key. Prorate the instance cost based on the GPU-hours consumed by each project's workloads to calculate a per-project cost.
  5. Build a Showback Dashboard and Automate
    Visualize your correlated cost data in a dashboard (e.g., Grafana, Tableau) showing GPU cost by project and team. This 'showback' report drives accountability. To productionize this system, use the companion DIY package to automate the data pipeline and set up budget alerts.
Starter code
Add a `project-id: 'my-first-project'` label to the next Kubernetes pod spec you write for a GPU-enabled job. This is the first building block of cost attribution.
Implement Granular GPU Cost Accounting — Action Pack