Data transformation for a machine learning model
US11556280B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 29, 2020 |
| Grant date | Jan 17, 2023 |
| Priority date | — |
| Expiry date | May 29, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2200/28
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Data transformation caching in an artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (‘GPU’) servers, including: identifying, in dependence upon one or more machine learning models to be executed on the GPU servers, one or more transformations to apply to a dataset; generating, in dependence upon the one or more transformations, a transformed dataset; storing, within one or more of the storage systems, the transformed dataset; receiving a plurality of requests to transmit the transformed dataset to one or more of the GPU servers; and responsive to each request, transmitting, from the one or more storage systems to the one or more GPU servers without re-performing the one or more transformations on the dataset, the transformed dataset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.