NVIDIA Minerva acts as the intelligent observability layer for AI factories, surfacing infrastructure risks before they affect large-scale workloads. The following case studies show how the platform uses anomaly detection and correlation to maintain performance and operational stability across GPU clusters.
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Pause Frame Anomaly Correlation: A switch page fault triggered a restart and subsequent network congestion. NVIDIA Minerva correlated 81 distinct anomalies into a single actionable incident report, identifying the root cause.
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Performance Degradation: NVIDIA Minerva automatically identified silent job performance loss caused by undetected Adaptive Routing hardware resource exhaustion, reducing resolution time by weeks.
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Predictive Maintenance: NVIDIA Minerva's log-based NLP/ML analysis identified potential NIC driver PCI hardware errors, allowing you to remove the affected node before a job failure occurred.
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Switch Upgrade Failure: NVIDIA Minerva detected a rare unknown switch control plane failure during an active software upgrade (ISSU), enabling you to immediately halt the maintenance window.
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RoCE Retransmit Anomaly: NVIDIA Minerva's topology view identified retransmit storms that stall NCCL collective operations and cause job timeouts.
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