NVIDIA launches Minerva AIOps platform for AI factories
NVIDIA launched Minerva, an AIOps platform for AI factories. NVIDIA says it combines infrastructure and AI-workload telemetry with purpose-built AI models to produce actionable insights.

Key takeaways · 4
- 01
Minerva analyzes billions of data points per hour using supervised and unsupervised machine learning, according to NVIDIA.
- 02
NVIDIA defines AI-factory yield through useful work measured by GPU hours, goodput, cluster uptime and token production.
- 03
Operators can implement fixes manually or connect Minerva to automation through infrastructure APIs and external systems.
- 04
IREN is among the partners using Minerva; NVIDIA says Lambda, IBM and Tesla plan to use it.
A connected view of factory operations
NVIDIA says traditional monitoring tools often divide the data center into separate views, while a single degraded component can slow an entire AI-factory job.[1] Minerva is designed to connect signals across GPUs, networking, storage, schedulers and workloads rather than treat those systems as isolated sources.[1] NVIDIA describes AI-factory yield as useful work measured through GPU hours, goodput, cluster uptime and token production.[1] That definition puts operational performance in terms of work delivered, not just the condition of individual hardware components.[1]
Models link signals to jobs and components
Minerva builds a dynamic knowledge graph that maps infrastructure and the jobs running on it.[1] NVIDIA says it analyzes billions of data points per hour using supervised and unsupervised machine learning.[1] The platform learns normal behavior, detects previously unseen anomalies, predicts emerging failures and correlates events using factory topology.[1] NVIDIA says this can help trace a slow training job to an affected component in a factory with hundreds of thousands of GPUs.[1] It can also group an event storm into a focused incident with a likely root cause.[1]
Operators remain part of remediation
Minerva includes a native AI assistant and can connect to external agentic AI tools.[1] NVIDIA says operators can use natural-language conversation grounded in live telemetry to investigate cluster health and receive remediation recommendations.[1] Teams can implement fixes manually or connect Minerva to automation through infrastructure APIs and external systems.[1] NVIDIA says the platform aggregates related problems into a single actionable item to help AIOps teams move from reactive response toward proactive maintenance.[1] The described workflow combines investigation and recommendations with operator decisions about how to apply fixes.[1]
Partner plans and launch details
NVIDIA says IREN is among its partners using Minerva to optimize AI factories.[1] IREN, Lambda, IBM and Tesla plan to use the platform, according to a separate report.[2] Dell Technologies, Lenovo and Supermicro will offer Minerva to their own customers, according to another report.[3] The NVIDIA item is dated October 22, 2026, and names Brian Sparks.[1] NVIDIA says Minerva can help jobs run longer between interruptions by spotting trouble early and can pinpoint problems when incidents occur.[1]
For teams operating AI factories, Minerva’s value proposition is a shared operational view that links infrastructure signals to active jobs. The practical question is whether its recommendations and incident grouping fit a team’s existing investigation and remediation process.
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For teamsHow this developed
22 October 2026
NVIDIA launches Minerva AIOps platform for AI factories