Track GPU Usage → Generate Cost Reports → Schedule Reviews
Monitor GPU utilization across your AI infrastructure, automatically generate detailed cost reports, and schedule regular optimization reviews with stakeholders.
Workflow Steps
Prometheus
Collect GPU and cost metrics
Deploy Prometheus with GPU exporters (nvidia-smi exporter) and cloud billing exporters to collect real-time GPU utilization, memory usage, and cost data. Configure scraping intervals of 15 seconds for GPU metrics and hourly for cost data.
Grafana
Build cost optimization dashboards
Create dashboards showing GPU utilization vs. cost, idle resource identification, and cost trends over time. Add panels for cost per model training run, efficiency ratios, and resource waste indicators with threshold-based color coding.
Grafana
Generate and distribute automated reports
Set up Grafana's reporting feature to automatically generate weekly PDF reports with key cost metrics, efficiency recommendations, and utilization trends. Configure email distribution to engineering leads and finance stakeholders.
Workflow Flow
Step 1
Prometheus
Collect GPU and cost metrics
Step 2
Grafana
Build cost optimization dashboards
Step 3
Grafana
Generate and distribute automated reports
Why This Works
Prometheus provides granular, real-time metrics while Grafana transforms complex data into actionable insights and automated reports, essential for managing expensive GPU resources efficiently.
Best For
Engineering teams running AI workloads who need to track GPU costs and optimize infrastructure spending with regular stakeholder reporting
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