Pure Storage had six patents in artificial intelligence during Q2 2024. Pure Storage Inc’s patents in Q2 2024 focus on optimizing storage operations in containerized applications through a CSI filter driver, utilizing machine learning models in AI infrastructure with storage systems and GPU servers, and ensuring data integrity in a storage network through system registry file verification. 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 artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Container storage interface filter driver-based optimization of a storage system (Patent ID: US20240211172A1)
The patent filed by Pure Storage Inc. describes a method and system for optimizing storage system usage in connection with containerized applications. The method involves passing requests from a node agent to a CSI driver through a CSI filter driver, identifying attributes associated with control plane operations, determining a usage profile based on these attributes, and performing optimization operations accordingly. The system includes a memory storing instructions and processors executing these instructions to implement the CSI filter driver process, which involves passing requests, identifying attributes, determining a usage profile, and performing optimization operations based on the profile.
The method and system outlined in the patent aim to enhance the efficiency and performance of storage systems used with containerized applications by analyzing control plane operations, usage profiles, and optimizing storage system usage accordingly. By leveraging attributes associated with requests and machine learning models, the system can provide recommendations for using different storage systems, selecting specific storage elements for volumes, and improving overall storage system utilization. The patent also highlights the use of Kubernetes as the container orchestrator and a kubelet as the node agent, emphasizing compatibility with popular container management tools. Overall, the patent focuses on streamlining storage operations within containerized environments to improve resource allocation and performance.
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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.
