From the source
NVIDIA launched Minerva, an AIOps platform that pulls telemetry from infrastructure and AI workloads and applies purpose-built AI models to turn it into actionable insight for AI factory operators.
- AI factories run vast numbers of GPUs across high-speed networks, where a single degraded component can slow an entire job and warning signs such as a GPU running hotter than its peers are easy to miss.
- Minerva connects signals across NVIDIA GPUs, networking, storage, schedulers and workloads, building a dynamic knowledge graph that maps GPUs, SuperNICs, switches and cables alongside the jobs running on them.
- It analyzes billions of data points per hour using supervised and unsupervised machine learning, learning normal behavior, detecting previously unseen anomalies, predicting emerging failures and grouping an event storm into a focused incident with a likely root cause.
- The platform includes a native AI assistant and connects to external agentic AI tools, giving operators a natural-language interface grounded in live telemetry for investigating cluster health and receiving recommended remediation, with a person kept in the loop or automation connected through infrastructure APIs.
