Amazon Technologies, Inc.

Zhihan Li

Andrea Olgiati

Saurabh Gupta

Ramyanshu Datta

Lakshmi Naarayanan Ramakrishnan

Arun Babu Nagarajan

Wei You

Kunal Mehrotra

Arvind Sowmyan

Ishaaq Chandy

Kohen Berith Chia

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.

Resource management techniques to reduce startup overhead for machine learning tasks

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Seattle, WA, United States of America

Zhihan Li