Pure Storage had one patents in ecommerce during Q2 2024. Pure Storage Inc filed a patent for executing machine learning models in an artificial intelligence infrastructure that includes storage systems and GPU servers. The method involves receiving a dataset transformed by an external storage system and executing machine learning algorithms using the transformed dataset as input on a GPU server. GlobalData’s report on Pure Storage gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Pure Storage had no grants in ecommerce as a theme in Q2 2024.
Recent Patents
Application: Executing machine learning models using transformed datasets (Patent ID: US20240192898A1)
The patent filed by Pure Storage Inc. describes a method and system for executing machine learning models in an artificial intelligence infrastructure that includes storage systems and GPU servers. The method involves receiving a dataset transformed by an external storage system and executing machine learning algorithms using the transformed dataset as input. The system further includes steps for identifying transformations to apply to the dataset, scheduling transformations and algorithm execution, and maintaining information about the dataset and transformations.
The artificial intelligence infrastructure described in the patent is configured to receive transformed datasets from external storage systems, execute machine learning algorithms using GPU servers, and manage the transformations and scheduling of operations. The infrastructure can identify transformations based on machine learning models, transmit datasets to processors, and maintain information about datasets and transformations. Additionally, the system includes an apparatus for data transformation offloading that can identify transformations, generate transformed datasets, and transmit them to processors, all while managing the scheduling of operations through a unified management plane.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
