Resource management techniques to reduce startup overhead for machine learning tasks
US12229600B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 22, 2021 |
| Grant date | Feb 18, 2025 |
| Priority date | — |
| Expiry date | Sep 18, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2209/5011
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.