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:
Jul. 21, 2026

Filed:

Jun. 30, 2023
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Prateek Mehrotra, Bothell, WA (US);

Mufaddal Taher Rohawala, Seattle, WA (US);

Owen Thomas, Seattle, WA (US);

Haja Maideen Mohamed Thajudeen, North Bend, WA (US);

George Anthony Torres, Portland, OR (US);

Kalyani Madhukar Nikure, Lynnwood, WA (US);

Clayton Royce Parnell, Decatur, GA (US);

Ling Hoi Wong, Seattle, WA (US);

Shweta Singh, Kirkland, WA (US);

Rekha Seshadrinathan, Redmond, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 9/455 (2018.01);
U.S. Cl.
CPC ...
G06F 9/45558 (2013.01); G06F 2009/45562 (2013.01); G06F 2009/4557 (2013.01);
Abstract

Local computing resources may be created for machine learning tasks. A kernel of a machine learning development environment implemented as a first container at a host system may execute code to perform a machine learning task that includes a statement that causes a local execution resource to be created at the host system to perform the machine learning task. A second container may be placed as the local execution resource at the host system as a child application at the host system. A network namespace of the first container may be used as the network namespace of the second container, making the second container able to perform network communications with the first container locally on the host system. The second container may perform the machine learning task in accordance with the code.


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