Pure Storage had one patents in ecommerce during Q1 2024. Pure Storage Inc’s patent involves generating a transformed dataset for machine learning models in an AI infrastructure with storage systems and GPU servers. The method includes storing the transformed dataset with identified transformations based on expected input formats, and transmitting the dataset to servers without reapplying transformations, ensuring data is in the expected formats for the machine learning models. GlobalData’s report on Pure Storage gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Pure Storage had no grants in ecommerce as a theme in Q1 2024.

Recent Patents

Application: Optimizing dataset transformations for use by machine learning models (Patent ID: US20240028266A1)

The patent filed by Pure Storage Inc. describes a method and system for generating a transformed dataset for machine learning models in an artificial intelligence infrastructure. The method involves storing a transformed dataset in one or more storage systems by applying transformations based on expected input data formats for machine learning models. This transformed dataset is then transmitted to one or more servers without reapplying the transformations, ensuring the data is in the expected format for the machine learning models to use directly.

The claims outline the steps involved in the method, including transforming the dataset based on expected input formats, transmitting the transformed dataset to servers, and executing machine learning algorithms using the transformed dataset as input. The system also includes a unified management plane for scheduling transformations and algorithm executions, as well as providing information about the dataset and transformations to the servers. Additionally, the patent covers an apparatus with computer program instructions to carry out the steps of transforming and transmitting the dataset, scheduling transformations, and executing machine learning algorithms. Overall, the patent focuses on efficiently preparing and utilizing data for machine learning models in an artificial intelligence infrastructure.

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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.