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US Patent 11403290 Managing an artificial intelligence infrastructure

Patent 11403290 was granted and assigned to Pure Storage on August, 2022 by the United States Patent and Trademark Office.

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TimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Pure Storage
Pure Storage
Current Assignee
Pure Storage
Pure Storage
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11403290
Patent Inventor Names
Brian Gold15
Ivan Jibaja15
Igor Ostrovsky15
Emily Watkins15
Roy Kim15
Date of Patent
August 2, 2022
Patent Application Number
16515698
Date Filed
July 18, 2019
Patent Citations
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US Patent 10649988 Artificial intelligence and machine learning infrastructure
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US Patent 10360214 Ensuring reproducibility in an artificial intelligence infrastructure
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US Patent 10157442 System and method for performing queries and displaying visual representations of their results using graphics processing units
5
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US Patent 10275176 Data transformation offloading in an artificial intelligence infrastructure
6
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US Patent 10176217 Dynamically performing data processing in a data pipeline system
7
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US Patent 10275285 Data transformation caching in an artificial intelligence infrastructure
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US Patent 11210140 Data transformation delegation for a graphical processing unit (‘GPU’) server
10
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US Patent 10776322 Transformation processing for objects between storage systems
11
...
Patent Citations Received
‌
US Patent 12067466 Artificial intelligence and machine learning hyperscale infrastructure
13
‌
US Patent 11803338 Executing a machine learning model in an artificial intelligence infrastructure
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US Patent 11861423 Accelerating artificial intelligence (‘AI’) workflows
14
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US Patent 11768636 Generating a transformed dataset for use by a machine learning model in an artificial intelligence infrastructure
Patent Primary Examiner
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Grace Park
CPC Code
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G06T 2200/28
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G06F 16/212
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G06N 20/00

Ensuring reproducibility in an artificial intelligence infrastructure that includes one or more storage systems and one or more graphical processing unit (‘GPU’) servers, including: identifying, by a unified management plane, one or more transformations applied to a dataset by the artificial intelligence infrastructure, wherein applying the one or more transformations to the dataset causes the artificial intelligence infrastructure to generate a transformed dataset; storing, within the one or more storage systems, information describing the dataset, the one or more transformations applied to the dataset, and the transformed dataset; identifying, by the unified management plane, one or more machine learning models executed by the artificial intelligence infrastructure using the transformed dataset as input; and storing, within the one or more storage systems, information describing one or more machine learning models executed using the transformed dataset as input.

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