Invention Grant
- Patent Title: Optimizing deployment of machine learning workloads
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Application No.: US17376660Application Date: 2021-07-15
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Publication No.: US12026542B2Publication Date: 2024-07-02
- Inventor: Kunal Chawla , Luis Angel Bathen , Divyesh Jadav
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Nicholas A. Welling
- Main IPC: G06F9/48
- IPC: G06F9/48 ; G06N20/00 ; H04L67/10

Abstract:
A system for optimizing deployment of a machine learning workload is provided. A computer device receives information pertaining to a machine learning workload to be processed for a client device. The computer device determines a machine learning model for the workload and a processing location for the workload based, at least in part, on the information. The computer device generates a request to process the workload at the determined processing location utilizing the determined machine learning model.
Public/Granted literature
- US20230018535A1 OPTIMIZING DEPLOYMENT OF MACHINE LEARNING WORKLOADS Public/Granted day:2023-01-19
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