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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.:

US 11489736 B1

PDFFull Text
Date of Patent:
Nov. 01, 2022

Filed:

Dec. 09, 2019

System and method for managing computing devices

Applicant:

Core Scientific, Inc., Bellevue, WA (US);

Inventors:

Ganesh Balakrishnan, Sammamish, WA (US);

Kristy-Leigh Minehan, Kirkland, WA (US);

Evan Adams, Seattle, WA (US);

Gabrielle Gordon, Seattle, WA (US);

Assignee:

Core Scientific, Inc., Bellevue, WA (US);

Attorney:

Fishman Stewart PLLC

Primary Examiner:

Tan Doan

Int. Cl.
CPC ...
H04L 41/22 (2022.01); H04L 41/0631 (2022.01); H04N 1/00 (2006.01); G06F 11/30 (2006.01); H04L 41/14 (2022.01); G06F 11/34 (2006.01); G06T 17/00 (2006.01); G06T 19/00 (2011.01); G06F 11/32 (2006.01); G06N 20/00 (2019.01); H04L 41/046 (2022.01); H04L 41/0823 (2022.01); H04L 41/08 (2022.01); H04L 41/16 (2022.01); H04L 41/00 (2022.01); H04L 43/04 (2022.01); H04L 43/065 (2022.01); H04L 43/0817 (2022.01); G06F 9/4401 (2018.01);
U.S. Cl.
CPC ...
H04L 41/22 (2013.01); G06F 11/3006 (2013.01); G06F 11/323 (2013.01); G06F 11/3495 (2013.01); G06N 20/00 (2019.01); G06T 17/00 (2013.01); G06T 19/006 (2013.01); H04L 41/046 (2013.01); H04L 41/0631 (2013.01); H04L 41/0823 (2013.01); H04L 41/0876 (2013.01); H04L 41/145 (2013.01); H04L 41/16 (2013.01); H04L 41/20 (2013.01); H04L 43/04 (2013.01); H04L 43/065 (2013.01); H04L 43/0817 (2013.01); H04N 1/0049 (2013.01); G06F 9/4401 (2013.01);
Abstract

A system and method for easily managing a data center with multiple computing devices such as cryptocurrency miners from different manufactures is disclosed. A first computer includes a management application to manage the selected computing devices and periodically read and store status information from them into a database. Controls are presented to enable selection of one or more of the devices and to apply an operating mode, including manual, semi-automatic, automatic, and intelligent modes. Machine learning may be used to determine recommended settings for the selected set of computing devices.

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