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:
Nov. 14, 2023

Filed:

Jan. 14, 2020
Applicant:

Vmware, Inc., Palo Alto, CA (US);

Inventors:

Hari Sivaraman, Livermore, CA (US);

Uday Pundalik Kurkure, Los Altos Hills, CA (US);

Lan Vu, Palo Alto, CA (US);

Assignee:

VMWARE, INC., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/50 (2006.01); G06F 9/54 (2006.01); G06F 9/30 (2018.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06F 9/5077 (2013.01); G06F 9/30029 (2013.01); G06F 9/5011 (2013.01); G06F 9/5083 (2013.01); G06F 9/546 (2013.01); G06N 3/045 (2023.01);
Abstract

Disclosed are aspects of workload selection and placement in systems that include graphics processing units (GPUs) that are virtual GPU (vGPU) enabled. In some aspects, workloads are assigned to virtual graphics processing unit (vGPU)-enabled graphics processing units (GPUs) based on a variety of vGPU placement models. A number of vGPU placement neural networks are trained to maximize a composite efficiency metric based on workload data and GPU data for the plurality of vGPU placement models. A combined neural network selector is generated using the vGPU placement neural networks, and utilized to assign a workload to a vGPU-enabled GPU.


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