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# NVIDIA Minerva

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  1. NVIDIA Wires AI-Factory Telemetry Into One Causal Graph: 81 Alerts Become One Incident, Saving About 54 Cluster Hours

    NVIDIA has introduced Minerva, an AIOps platform for AI factories that feeds telemetry from GPUs, switches, storage and training jobs into a knowledge graph updated as jobs move, then applies supervised and unsupervised models to catch the gray failures static thresholds miss. In one NVIDIA case, 81 separate events triggered by a switch restart were merged into a single incident, saving about 54 hours of cluster uptime; in another, the platform found one quietly degrading NVLink connection among roughly 400,000 interfaces. These figures come from NVIDIA's internal testing and case descriptions, within its supported scenarios.

  2. NVIDIA Blog

    NVIDIA's Minerva maps GPUs, networks and jobs into one live graph so AI factories fix faults before jobs stall

    NVIDIA released Minerva, an AIOps platform for end-to-end observability of AI factories built from large GPU fleets. Previously networking, compute, site reliability and machine learning teams each saw a separate slice of the data center, and alerts arrived disconnected. Minerva pools telemetry from GPUs, SuperNICs, switches, cables, storage, schedulers and workloads into a dynamic knowledge graph, then uses supervised and unsupervised learning to detect anomalies, predict failures and correlate events by topology, collapsing an alert storm into one incident with a likely root cause.

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