The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 27, 2026
Filed:
Aug. 13, 2024
Applicant:
Pure Storage, Inc., Santa Clara, CA (US);
Inventors:
Matthew Fay, Mountain View, CA (US);
Benjamin Scholbrock, San Jose, CA (US);
Arun Theebaprakasam, Fremont, CA (US);
John Colgrove, Los Altos, CA (US);
Assignee:
EVERPURE, INC., Santa Clara, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/22 (2019.01); G06F 3/06 (2006.01); G06F 16/23 (2019.01);
U.S. Cl.
CPC ...
G06F 16/22 (2019.01); G06F 3/0608 (2013.01); G06F 16/2365 (2019.01);
Abstract
Using machine learning to dynamically select data reduction techniques, including: generating data describing resource usage in a storage system; determining, by a machine learning model and based on the data, a change to one or more data reduction processes of the storage system; and applying the change to the one or more data reduction processes.
Fay, Matthew. (2026). Using machine learning to dynamically select data reduction techniques for storage systems (U.S. Patent No. 12775602). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12775602
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile