NVIDIA Minerva: AIOps Platform for AI Factory Observability

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TL;DR: NVIDIA has launched Minerva, an AIOps platform designed to provide end-to-end observability for AI factories. The platform combines telemetry from infrastructure and AI workloads, using purpose-built AI models to detect anomalies, predict failures, and help operators maximize GPU uptime and productivity.

What's New

NVIDIA announced Minerva on October 22, 2026, as a comprehensive AIOps platform built specifically for AI factory operations. The platform addresses the complexity of managing vast numbers of GPUs working across high-speed networks to train models and serve AI applications.

Minerva distinguishes itself by connecting telemetry signals across NVIDIA GPUs, networking, storage, schedulers, and workloads into a unified view. The platform builds a dynamic knowledge graph that logically maps infrastructure components—including GPUs, SuperNICs, switches, and cables—alongside the jobs running on them. This contextual mapping enables operators to trace slow training jobs to specific problematic components, even in factories with hundreds of thousands of GPUs.

The platform analyzes billions of data points per hour using both supervised and unsupervised machine learning. It learns normal behavior patterns, detects previously unseen anomalies, predicts emerging failures, and correlates related events based on the factory's topology. Rather than overwhelming operators with individual symptoms, Minerva groups event storms into focused incidents with likely root causes.

Minerva includes a native AI assistant and can connect to external agentic AI tools, providing a natural-language interface grounded in live telemetry. Operators can investigate cluster health and receive recommended remediation through conversational queries. The platform supports both manual implementation with a person in the loop and automated remediation through infrastructure APIs and external systems.

The platform focuses on AI factory yield—a measure of useful work infrastructure produces through GPU hours, goodput, cluster uptime, and token production. According to NVIDIA, Minerva delivers value across three key metrics: longer time between interruptions by spotting trouble before it happens, faster time to repair by pinpointing problems for quicker resolution, and greater insight by filtering massive data volumes down to actionable alerts.

Pricing and Availability

NVIDIA has not disclosed pricing information for Minerva. The platform launched on October 22, 2026.

How to Try It

Interested organizations can learn more about NVIDIA Minerva through the company's official product page. Specific trial or evaluation options have not been announced.

Who It's For

Minerva targets organizations operating AI factories—large-scale GPU infrastructure for training models and serving AI applications. The platform is designed for AIOps teams, site reliability engineers, networking teams, compute teams, and machine learning operations professionals who need unified visibility across their infrastructure.

Several major organizations have announced deployment plans, including IREN, Aolani, Bitdeer AI, IBM, Jio, Lambda, Quake AI, and Tesla. Denis Skrinnikoff, chief technology officer of IREN, stated: "As we scale our AI factories, the key to providing the best service for our customers is maximizing the productivity of our GPUs. NVIDIA Minerva gives our operations team one view across the network, the GPUs and the jobs running on them, so we focus more on proactive maintenance rather than troubleshooting."

Additionally, Dell Technologies, Lenovo, and Supermicro will offer Minerva as part of their AI factory operations portfolios.

Alternatives

Traditional monitoring tools typically divide data center operations into separate views for networking, compute, site reliability, and machine learning teams. Minerva differentiates itself by connecting these previously siloed signals into a unified observability platform specifically designed for AI infrastructure at scale. Organizations seeking workflow automation and monitoring capabilities may also consider platforms like Make for general automation needs, though Minerva's AI-specific focus and deep integration with NVIDIA hardware represents a specialized solution for GPU-intensive operations.