Patent US10671435

Data transformation caching in an artificial intelligence infrastructure
[+] Show Details

US10671435

1. A method of data transformation caching in an artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (‘GPU’) servers, the method comprising: (5) (5)

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.

2. The method of claim 1 wherein generating, in dependence upon the one or more transformations, a transformed dataset further comprises generating, by the storage system in dependence upon the one or more transformations, transformed dataset. (0)

3. The method of claim 1 wherein 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 further comprises transmitting the transformed dataset from the one or more storage systems directly to application memory on the GPU servers. (1) (0)

5. The method of claim 1 further comprising executing, by one or more of the GPU servers, one or more machine learning algorithms associated with the machine learning model using the transformed dataset as input. (0)

6. The method of claim 1 further comprising: (0) (2)

7. The method of claim 1 further comprising providing, by a unified management plane to the one or more GPU servers, information describing the dataset, the one or more transformations applied to the dataset, and the transformed dataset. (0)

8. An artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (‘GPU’) servers, the artificial intelligence infrastructure configured to carry out the steps of: (5) (5)

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

9. The artificial intelligence infrastructure of claim 8 wherein generating, in dependence upon the one or more transformations, a transformed dataset further comprises generating, by the storage system in dependence upon the one or more transformations, transformed dataset. (0)

10. The artificial intelligence infrastructure of claim 8 wherein 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 further comprises transmitting the transformed dataset from the one or more storage systems directly to application memory on the GPU servers. (1) (0)

12. The artificial intelligence infrastructure of claim 8 wherein the artificial intelligence infrastructure is further configured to carry out the step of executing, by one or more of the GPU servers, one or more machine learning algorithms associated with the machine learning model using the transformed dataset as input. (0)

13. The artificial intelligence infrastructure of claim 8 wherein the artificial intelligence infrastructure is further configured to carry out the steps of: (0) (2)

14. The artificial intelligence infrastructure of claim 8 wherein the artificial intelligence infrastructure is further configured to carry out the step of providing, by a unified management plane to the one or more GPU servers, information describing the dataset, the one or more transformations applied to the dataset, and the transformed dataset. (0)

15. An apparatus for data transformation offloading in an artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (‘GPU’) servers, the apparatus comprising a computer processor, a computer memory operatively coupled to the computer processor, the computer memory having disposed within it computer program instructions that, when executed by the computer processor, cause the apparatus to carry out the steps of: (5) (5)

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

16. The apparatus of claim 15 wherein generating, in dependence upon the one or more transformations, a transformed dataset further comprises generating, by the storage system in dependence upon the one or more transformations, transformed dataset. (0)

17. The apparatus of claim 15 wherein 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 further comprises transmitting the transformed dataset from the one or more storage systems directly to application memory on the GPU servers. (0)

18. The apparatus of claim 15 further comprising computer program instructions that, when executed by the computer processor, cause the apparatus to carry out the steps of: (0) (2)

19. The apparatus of claim 15 further comprising computer program instructions that, when executed by the computer processor, cause the apparatus to carry out the step of providing, by a unified management plane to the one or more GPU servers, information describing the dataset, the one or more transformations applied to the dataset, and the transformed dataset. (0)

20. The apparatus of claim 15 further comprising computer program instructions that, when executed by the computer processor, cause the apparatus to carry out the step of executing, by one or more of the GPU servers, one or more machine learning algorithms associated with the machine learning model using the transformed dataset as input. (0)

View Abstract and Specification Size

PDF with Images and Document Face >

Full Text Publication >

Patent US10671435

Data transformation caching in an artificial intelligence infrastructure

Patent Matrix® Search