NVIDIA Unveils Minerva, an AIOps Platform for AI Factory Observability
NVIDIA launched Minerva, an AIOps platform that combines infrastructure and workload telemetry to help operators detect problems and maintain AI factory uptime.
Quick answer
What did NVIDIA announce with Minerva?
NVIDIA launched Minerva, an AIOps platform that unifies telemetry from GPUs, networking, storage, schedulers and workloads into a dynamic knowledge graph. It uses machine learning to detect anomalies, predict failures and group related issues into single incidents, with a native AI assistant for natural-language investigation.
Key takeaways
- NVIDIA launched Minerva, an AIOps platform that connects telemetry from GPUs, networking, storage, schedulers and workloads into a single dynamic knowledge graph.
- The platform uses supervised and unsupervised machine learning to analyze billions of data points per hour, detecting anomalies, predicting failures and correlating related events by topology.
- Minerva includes a native AI assistant and connects to external agentic AI tools, letting operators query cluster health and get remediation recommendations in natural language.
- NVIDIA says the platform is built to improve AI factory yield, a measure combining GPU hours, goodput, cluster uptime and token production.
- IREN, Aolani, Bitdeer AI, IBM, Jio, Lambda, Quake AI and Tesla plan to deploy Minerva, and Dell Technologies, Lenovo and Supermicro will offer it as part of their AI factory operations portfolios.
NVIDIA announced Minerva, an AIOps platform designed to give operators of AI factories a single view across infrastructure and workload data. The company unveiled the platform on October 22, 2026.
NVIDIA says Minerva brings together telemetry from GPUs, networking, storage, schedulers and workloads, then applies purpose-built AI models to turn that data into actionable insight. The company describes AI factories as some of the most complex operations in the world, where vast numbers of GPUs work across high-speed networks to train models and serve applications, and where a single degraded component, such as an overheating GPU or an underperforming NVMe drive, can slow an entire job.
Connecting Previously Separate Views
According to NVIDIA, traditional monitoring tools divide the data center into separate views, with networking, compute, site reliability and machine learning teams each seeing only part of the operation. Minerva is built to connect those signals across NVIDIA GPUs, networking, storage, schedulers and workloads into what the company calls a dynamic knowledge graph that logically maps infrastructure components, including GPUs, SuperNICs, switches and cables, along with the jobs running on them.
NVIDIA says this context helps operators trace a slow training job to the specific component affecting it, even in a factory with hundreds of thousands of GPUs. The company says the platform analyzes billions of data points per hour using supervised and unsupervised machine learning to learn normal behavior, detect previously unseen anomalies, predict emerging failures and correlate related events based on the factory's topology. Rather than sending every symptom to an operator, NVIDIA says Minerva can group an event storm into a focused incident with a likely root cause.
AI Assistant and Automation
NVIDIA says Minerva comes with a native AI assistant and also connects to external agentic AI tools, adding a natural-language interface grounded in live telemetry. Operators can investigate cluster health and receive recommended remediation through conversation, according to the company. Teams can keep a person in the loop to manually implement fixes, or connect Minerva to automation through infrastructure APIs and external systems, NVIDIA says.
Target Metrics
NVIDIA says Minerva is intended to deliver value across key metrics AI factories track:
- Longer time between interruptions: NVIDIA says Minerva spots trouble before it happens so jobs run longer without incident.
- Faster time to repair: The company says Minerva pinpoints problems, leading to quicker resolution.
- Greater insight: NVIDIA says Minerva filters the flood of data generated by modern AI infrastructure down to the alerts that matter.
Source: NVIDIA Blog, "NVIDIA Unveils Minerva to Bring End-to-End Observability for AI Factories," published October 22, 2026.
Frequently asked questions
- What is NVIDIA Minerva?
- Minerva is an AIOps platform NVIDIA launched to help operators of AI factories find infrastructure and workload problems earlier by combining telemetry into a single view.
- How does Minerva detect problems?
- NVIDIA says Minerva analyzes billions of data points per hour using machine learning to learn normal behavior, detect anomalies, predict failures and group related events into a single incident with a likely root cause.
- Who is adopting Minerva?
- NVIDIA says IREN, Aolani, Bitdeer AI, IBM, Jio, Lambda, Quake AI and Tesla plan to deploy Minerva, while Dell Technologies, Lenovo and Supermicro will offer it in their AI factory operations portfolios.
- What metrics does Minerva target?
- NVIDIA says Minerva is designed to improve AI factory yield by lengthening time between interruptions, speeding time to repair, and reducing alert volume to the issues that matter.