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.

Date of Patent:
Sep. 29, 2026

Filed:

Apr. 12, 2023
Applicant:

Bank of America Corporation, Charlotte, NC (US);

Inventors:

Steven Sinks, Scottsdale, AZ (US);

Joshua Abraham, Sharon, MA (US);

Assignee:

Bank of America Corporation, Charlotte, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/46 (2006.01); G06F 9/50 (2006.01);
U.S. Cl.
CPC ...
G06F 9/5038 (2013.01); G06F 9/5083 (2013.01); G06F 2209/501 (2013.01); G06F 2209/503 (2013.01); G06F 2209/506 (2013.01);
Abstract

Arrangements for a distributed artificial intelligence workload optimizer are provided. In some aspects, a workload that identifies a number of computer processing cycles required to complete a task may be received. Processing constraints may be received from a user computing device. Contextual parameters associated with the workload may be received. Availability data for a plurality of resources in a distributed computing environment, each capable of performing at least part of the workload, may be acquired. Using an artificial intelligence algorithm, an optimization model for distributing the workload may be built based on the processing constraints, the contextual parameters, and the availability data. The optimization model may optimize the distribution of available resources allocated to executing the workload. Based on the optimization model, resource distribution options including an optimal distribution of the available resources for executing the workload may be identified, and the workload may be executed accordingly.


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Sinks, Steven. (2026). Distributed artifical intelligence workload optimizer (U.S. Patent No. 12748630). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12748630

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