Intel had 73 patents in digitalization during Q4 2023. Intel Corp’s Q4 2023 patents include technologies for efficient pooling in a hyper converged infrastructure, adaptive video encoding based on headset-related information, resource allocation across data centers, network packet processing by a NIC, and an apparatus with replication logic for executing instructions with packed data structures. GlobalData’s report on Intel gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Intel grant share with digitalization as a theme is 65% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Technologies for providing efficient pooling for a hyper converged infrastructure (Patent ID: US20230418686A1)
The patent filed by Intel Corp describes technologies for efficient pooling in a hyper-converged infrastructure system. The system includes a sled with a network interface controller that can determine the location of a requested device and provide access accordingly. The controller can selectively power on the device if it is on the same sled or communicate with another sled if the device is located remotely, ensuring efficient access to the requested device.
The patent claims detail an apparatus with an Ethernet NIC on a host compute device that can access data storage devices either locally or through a network of storage servers. The apparatus includes circuitry to handle requests from the host CPU, determine the location of the data storage device using a map, and provide access via a non-volatile memory express driver. Additionally, the apparatus can power on the storage device remotely and execute workloads on the host compute device, enhancing the efficiency and flexibility of data storage access in a hyper-converged infrastructure system.
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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.
