Nvidia has launched Minerva, a platform for monitoring AI factories and finding problems that could interrupt work. The company says it brings together data from infrastructure and AI workloads, then uses AI models to help operators identify and address issues.
Minerva connects signals from GPUs, networking, storage, schedulers and workloads. It builds a changing map of components, including GPUs, SuperNICs, switches and cables, alongside the jobs running on them. Nvidia says this helps operators trace a slow training job to an affected component, even in a factory with hundreds of thousands of GPUs.
According to Nvidia, Minerva analyzes billions of data points per hour. It learns normal behavior, flags unusual activity, predicts potential failures and groups related alerts into an incident with a likely cause. The company says the aim is to help teams focus on problems that affect useful output, measured through GPU hours, goodput, cluster uptime and token production.
Read nextNvidia launches OpenShell architecture for AI agent securityMinerva also includes an AI assistant that lets operators ask questions about cluster health using live data and receive suggested fixes. Teams can apply fixes themselves or connect the platform to automation through infrastructure application programming interfaces and external systems.
Several companies plan to deploy Minerva
IREN is using Minerva in its AI factories, Nvidia says. Aolani, Bitdeer AI, IBM, Jio, Lambda, Quake AI and Tesla plan to deploy it. Nvidia also says Lenovo and Supermicro will offer Minerva as part of their AI factory operations portfolios, alongside Dell Technologies.
