Intel had nine patents in ecommerce during Q2 2024. Intel Corp’s patents in Q2 2024 focus on technologies for dynamic accelerator selection, workload assignment based on emissions estimates, capability profiling for computer systems, and live migration of trusted execution environment virtual machines. These patents aim to optimize performance, resource utilization, and security in computing environments. GlobalData’s report on Intel gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Intel had no grants in ecommerce as a theme in Q2 2024.
Recent Patents
Application: Technologies for dynamic accelerator selection (Patent ID: US20240195605A1)
The patent filed by Intel Corp. describes technologies for dynamic accelerator selection in a cloud service provider system. The system includes multiple accelerators in a network, some of which are remote from the node, and server circuitry that dynamically assigns workloads based on physical location information of the accelerators and telemetry data. The server circuitry can allocate resources based on current and predicted resource usage data, ensuring efficient execution of workloads associated with services provided by the system, such as machine learning tasks.
The method implemented using the cloud service provider system involves dynamically assigning and reassigning workloads to accelerators based on physical location information and telemetry data. The system's server circuitry can determine accelerator failure, allocate resources efficiently, and ensure quality of service and latency considerations are met. The workloads associated with services provided by the system, such as machine learning, are executed using the accelerator circuitry, which includes graphics processing unit hardware. Overall, the patent outlines a system and method for optimizing workload assignment and resource allocation in a cloud service provider environment to enhance performance and efficiency.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
