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US Patent 11803338 Executing a machine learning model in an artificial intelligence infrastructure

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Pure Storage
Pure Storage
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11803338
Patent Inventor Names
Ivan Jibaja
Brian Gold
Emily Potyraj
Igor Ostrovsky
Roy Kim
Date of Patent
October 31, 2023
Patent Application Number
17538262
Date Filed
November 30, 2021
Patent Citations
‌
US Patent 7437530 System and method for mapping file block numbers to logical block addresses
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US Patent 7493424 Network storage system with shared software stack for LDMA and RDMA
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US Patent 7606813 Model consolidation in a database schema
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US Patent 7669029 Load balancing a data storage system
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US Patent 7689609 Architecture for supporting sparse volumes
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US Patent 7743003 Scaling machine learning using approximate counting that uses feature hashing
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US Patent 7743191 On-chip shared memory based device architecture
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US Patent 7899780 Methods and apparatus for structured partitioning of management information
...
Patent Primary Examiner
‌
Natisha D Cox
Patent 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.

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