Documentation Grafana Cloud Monitor applications AI Observability GPU Observability

GPU observability

GPU Observability provides comprehensive hardware-level monitoring for GPU infrastructure used in AI workloads, essential for ensuring optimal performance and preventing hardware issues.

Overview

The GPU Monitoring dashboard provides hardware-level monitoring for AI infrastructure:

• Hardware utilization - Real-time GPU usage and performance tracking
• Thermal management - Temperature monitoring and cooling system analysis
• Performance tracking - Compute efficiency and throughput metrics
• Resource management - Multi-GPU coordination and resource allocation

Key features

Resource optimization

• GPU instance tracking - Individual GPU performance across infrastructure
• Resource allocation - GPU resource distribution across workloads
• Capacity planning - Usage trend analysis for scaling decisions
• Cost optimization - GPU usage efficiency monitoring for cost management

Hardware health

• Power consumption - GPU power usage and efficiency tracking
• Hardware error rates - GPU hardware failure and error monitoring
• Driver stability - GPU driver performance and stability metrics
• Device availability - GPU device status and accessibility monitoring

Getting started