Nvidia patents method to auto-build data sets from GPU tags
Nvidia describes a system that automatically collects data generated by a graphics processing unit (GPU) and saves it into a structured dataset. The system uses specific labels or tags attached to the data to match it with the correct dataset, allowing machine learning models to update themselves without waiting for manual software updates.
In the filing’s own words
Traditionally, a software application is developed, tested, and then published for use by end users. Any subsequent update made to the software application is generally in the form of a human programmed modification made to the code in the software application itself, and further only becomes usable once tested, published, and installed by end users having the previous version of the software application. This typical software application lifecycle causes delays in not only generating improvements to software applications, but also to those improvements being made accessible to end users. To help avoid these delays and improve performance of software applications, deep learning models may be made accessible to the software applications for use in providing inferenced data to the software applications, which the software applications may then use as desired. These deep learning models can furthermore be improved independently of the software applications using manual and/or automated processes.
What exactly they claim (claim 1)
1. One or more processors, comprising: circuitry to: cause data generated by a graphics processing unit (“GPU”) to be stored with metadata comprising information descriptive of the data, the metadata further comprising information indicative of one or more locations in GPU memory in which the data is stored; cause the data generated by the GPU to be retrieved from GPU memory and stored in a dataset when one or more tags associated with the dataset correspond to tags stored with the data generated by the GPU, the data retrieved using the metadata indicative of the one or more locations in the GPU memory; and cause one or more parameters of a machine learning model to be updated using the dataset.
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- Automatic dataset creation using software tags
- Patent number
- US12761880B2
- Application number
- 19177343
- Filed
- Apr 11, 2025
- Granted
- Oct 13, 2026
- Inventors
- 4
- Claims
- 20
Classified under
G06F 8/30 Physics & computingG06F 8/71 Physics & computingG06F 9/541 Physics & computingG06F 18/214 Physics & computingG06N 3/04 Physics & computingG06N 3/08 Physics & computingMore from Nvidia in AI & software
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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.