公开(公告)号：US11995476B1

公开(公告)日：2024-05-28

申请号：US17482276

申请日：2021-09-22

Applicant: Amazon Technologies, Inc.

Inventor： Ramyanshu Datta ,  Ishaaq Chandy ,  Arvind Sowmyan ,  Wei You ,  Kunal Mehrotra ,  Kohen Berith Chia ,  Andrea Olgiati ,  Lakshmi Naarayanan Ramakrishnan ,  Saurabh Gupta

IPC: G06F9/46 ,  G06F9/50

CPC classification number: G06F9/5038 ,  G06F9/5022 ,  G06F9/5055

Abstract: A post-task-completion retention period for which a computing resource is to be retained, without de-activating the resource, on behalf of a set of requesters of machine learning tasks is determined at a machine learning service. A first task, identified at the service prior to expiration of the retention period at a first computing resource at which a second task has completed, is initiated at the first computing resource. In response to obtaining an indication of a third task and determining that a threshold criterion associated with the retention period satisfies a criterion, the third task is initiated at an additional computing resource. The additional computing resource is de-activated after the third task completes, without waiting for the retention period to expire.

公开(公告)号：US20240272953A1

公开(公告)日：2024-08-15

申请号：US18642668

申请日：2024-04-22

Applicant: Amazon Technologies, Inc.

Inventor： Ramyanshu Datta ,  Ishaaq Chandy ,  Arvind Sowmyan ,  Wei You ,  Kunal Mehrotra ,  Kohen Berith Chia ,  Andrea Olgiati ,  Lakshmi Naarayanan Ramakrishnan ,  Saurabh Gupta

IPC: G06F9/50

CPC classification number: G06F9/5038 ,  G06F9/5022 ,  G06F9/5055

Abstract: A post-task-completion retention period for which a computing resource is to be retained, without de-activating the resource, on behalf of a set of requesters of machine learning tasks is determined at a machine learning service. A first task, identified at the service prior to expiration of the retention period at a first computing resource at which a second task has completed, is initiated at the first computing resource. In response to obtaining an indication of a third task and determining that a threshold criterion associated with the retention period satisfies a criterion, the third task is initiated at an additional computing resource. The additional computing resource is de-activated after the third task completes, without waiting for the retention period to expire.

公开(公告)号：US12248815B2

公开(公告)日：2025-03-11

申请号：US18642668

申请日：2024-04-22

Applicant: Amazon Technologies, Inc.

Inventor： Ramyanshu Datta ,  Ishaaq Chandy ,  Arvind Sowmyan ,  Wei You ,  Kunal Mehrotra ,  Kohen Berith Chia ,  Andrea Olgiati ,  Lakshmi Naarayanan Ramakrishnan ,  Saurabh Gupta

IPC: G06F9/46 ,  G06F9/50

Abstract: A post-task-completion retention period for which a computing resource is to be retained, without de-activating the resource, on behalf of a set of requesters of machine learning tasks is determined at a machine learning service. A first task, identified at the service prior to expiration of the retention period at a first computing resource at which a second task has completed, is initiated at the first computing resource. In response to obtaining an indication of a third task and determining that a threshold criterion associated with the retention period satisfies a criterion, the third task is initiated at an additional computing resource. The additional computing resource is de-activated after the third task completes, without waiting for the retention period to expire.

公开(公告)号：US12229600B1

公开(公告)日：2025-02-18

申请号：US17482272

申请日：2021-09-22

Applicant: Amazon Technologies, Inc.

Inventor： Ramyanshu Datta ,  Zhihan Li ,  Arun Babu Nagarajan ,  Arvind Sowmyan ,  Kohen Berith Chia ,  Wei You ,  Ishaaq Chandy ,  Kunal Mehrotra ,  Andrea Olgiati ,  Lakshmi Naarayanan Ramakrishnan ,  Saurabh Gupta

IPC: G06F9/50

Abstract: Parameters of a pool of computing resources to be utilized for machine learning tasks from a set of entities are stored, including a category of the computing resources, and a post-task-completion retention period during which, after completion of a task, at least a portion of data stored at the resource is not to be deleted. A compute instance of the pool is assigned to a task requested from the set of entities after determining that one or more configuration settings of the instance satisfy a preference indicated in the request for the task, and that the retention period of the instance relative to a completion of an earlier task on the instance has not expired. A result of the task is stored.