How NVIDIA Minerva Turns Telemetry Chaos Into Peak GPU Yield
According to NVIDIA Developer. NVIDIA Minerva unifies telemetry across GPUs, networking, storage, and workloads into a dynamic knowledge graph mapping infrastructure to active jobs.
- • NVIDIA Minerva unifies telemetry across infrastructure into a dynamic knowledge graph.
- • Supervised and unsupervised machine learning models detect gray failures across hardware.
- • An AI agent named Sherlock lets operators query live evidence using natural language.
Telemetry Unification
NVIDIA Minerva collects telemetry across the stack and maps infrastructure to active jobs in a dynamic knowledge graph that updates relationships as the environment changes. The platform helps network, compute, and ML teams work from the same causal map instead of separate inventories.
Machine Learning Detection
The platform processes billions of metric and log data points per hour using purpose-built models to detect gray failures that absolute thresholds can miss. Peer comparisons help identify anomalous component behavior such as a GPU running hotter than sibling units under identical load.
- 1. developer.nvidia.comOpen source