Intelligent compute resource selection for machine learning training jobs
US11537439B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 23, 2018 |
| Grant date | Dec 27, 2022 |
| Priority date | — |
| Expiry date | Jun 21, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0464
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for intelligent compute resource selection and utilization for machine learning training jobs are described. At least a portion of a machine learning (ML) training job is executed a plurality of times using a plurality of different resource configurations, where each of the plurality of resource configurations includes at least a different type or amount of compute instances. A performance metric is measured for each of the plurality of the executions, and can be used along with a desired performance characteristic to generate a recommended resource configuration for the ML training job. The ML training job is executed using the recommended resource configuration.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.