By BV Swagath
Publication Date: 2026-10-23 07:17:00
Nvidia has launched Minerva, an AIOps platform purpose-built to provide end-to-end observability across AI factory infrastructure and workloads.
Sitting within the full-stack Nvidia Vera Rubin platform, Minerva gathers telemetry from Nvidia GPUs, Spectrum-X Ethernet, NVLink switches, SuperNICs, data processing units, schedulers such as Slurm and Nvidia Run:ai, and the AI workloads themselves. The collected signals span networking, compute and storage layers, replacing fragmented monitoring approaches that traditionally leave different teams with incomplete views of cluster health.
Large-scale AI factories can contain hundreds of thousands of graphic processing units (GPUs) linked by high-speed networks to train models and serve inference.
In such environments, a single degraded component, whether a GPU running hotter than expected or a storage drive losing throughput, can slow an entire job. Minerva is designed to catch those early warning signs, wrote Brian Sparks, senior director of marketing at Nvidia’s InfiniBand and Ethernet networking platforms unit, in a company blog.
Central to the platform is a dynamic knowledge graph that maps the logical relationships between infrastructure elements, including GPUs, SuperNICs, switches and cables, and the workloads running on them. This unified topology allows operators to trace a slow training job back to the specific component causing the issue, even in clusters with vast GPU…
