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Nvidia patents AI system to predict data center equipment failures

Nvidia has filed a patent for a system that uses machine learning to monitor sensors in data centers. It analyzes historical sensor data to train a model that can predict when specific components are likely to fail in the future.

Why it mattersThis could help data center operators fix hardware issues before they cause widespread outages, improving the reliability of the internet infrastructure.

In the filing’s own words

Systems and methods for monitoring data center metrics using machine learning are disclosed. A system can obtain a first set of sensor readings from data center components during a first time period. The system can generate a dataset using the first set of sensor readings and a negative sampling function. The dataset can include labels generated according to a learned distribution derived from the first set of sensor readings. The system can update a machine learning model using the dataset to predict likelihoods of future anomalies in the plurality of data center components. The system can obtain a second set of sensor readings from the data center components during a second time period. The system can generate, using the machine learning model and the second set of sensor readings, a prediction of a future anomaly that may occur in at least one of the data center components.

What exactly they claim (claim 1)

1. One or more processors comprising: one or more circuits to: obtain a first set of sensor readings from a plurality of data center components of a data center during a first time period; generate a dataset using the first set of sensor readings and a negative sampling function, the dataset comprising labels generated according to a learned distribution derived from the first set of sensor readings; update a machine learning model using the labels of the dataset to predict likelihoods of future anomalies in the plurality of data center components; obtain a second set of sensor readings from the plurality of data center components during a second time period; and generate, using the machine learning model and the second set of sensor readings, a prediction of a future anomaly that may occur in at least one of the plurality of data center components.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
MACHINE LEARNING-BASED ANOMALY DETECTION USING DATA CENTER METRICS
Publication number
US20260267765A1
Application number
19072328
Filed
Mar 6, 2025
Published
Sep 10, 2026
Inventors
4
Claims
20

Classified under

G06F 11/3452 Physics & computingG06F 11/3447 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.