Executing A Machine Learning Model In An Artificial Intelligence Infrastructure
AssigneePure Storage, Inc.
InventorsBRIAN GOLD, EMILY POTYRAJ, IVAN JIBAJA, IGOR OSTROVSKY, ROY KIM
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Abstract
Executing a machine learning model in an artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (‘GPU’) servers, including: receiving, by a graphical processing unit (‘GPU’) server, a dataset transformed by a storage system that is external to the GPU server; and executing, by the GPU server, one or more machine learning algorithms using the transformed dataset as input.
Claims20
A method comprising:
- receiving, by a graphical processing unit (‘GPU’) server, a dataset transformed by a system that is external to the GPU server;
- and
- executing, by the GPU server, one or more machine learning algorithms using the transformed dataset as input.
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:
- receiving, by a graphical processing unit (‘GPU’) server, a dataset transformed by a storage system that is external to the GPU server;
- and
- executing, by the GPU server, one or more machine learning algorithms using the transformed dataset as input.
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:
- 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;
- and
- generating, by the storage system in dependence upon the one or more transformations, a transformed dataset.
Dependencies are inferred from the claim text.