Invention Application
- Patent Title: SYSTEM FOR DYNAMIC ALLOCATION OF COMPUTATIONAL RESOURCES FOR OPTIMIZED PERFORMANCE OF MACHINE LEARNING MODELS
-
Application No.: US18225829Application Date: 2023-07-25
-
Publication No.: US20250037005A1Publication Date: 2025-01-30
- Inventor: Elvis Nyamwange , Erik Dahl , Brian Neal Jacobson , Pratap Dande , Hari Vuppala , Rahul Yaksh , Rahul Shashidhar Phadnis , Amer Ali , Sailesh Vezzu
- Applicant: BANK OF AMERICA CORPORATION
- Applicant Address: US NC Charlotte
- Assignee: BANK OF AMERICA CORPORATION
- Current Assignee: BANK OF AMERICA CORPORATION
- Current Assignee Address: US NC Charlotte
- Main IPC: G06N20/00
- IPC: G06N20/00

Abstract:
Systems, computer program products, and methods are described herein for dynamic allocation of computational resources for optimized performance of ML models. The present disclosure is configured to receive a request to execute a ML model; determine computational requirements associated with the ML model; determine a subset of computational resources from a pool of computational resources to execute the ML model based on the computational requirements associated with the ML model; allocate the subset of computational resources to the ML model; and execute the ML model using the subset of computational resources.
Information query