NVIDIA had nine patents in internet of things during Q1 2024. NVIDIA Corp’s patents in Q1 2024 focus on APIs for 5G-NR cell performance, time conversion operations, corrective operations for asynchronous circuits, training deep neural networks using sensor data, and using neural networks to generate textual descriptions of actions based on user communications for application performance. GlobalData’s report on NVIDIA gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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NVIDIA grant share with internet of things as a theme is 22% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Application programming interface to determine whether wireless cells have been allocated (Patent ID: US20240098470A1)
The patent filed by NVIDIA Corp. describes apparatuses, systems, and techniques for performing APIs related to 5G-NR cells. The processor is designed to indicate the number of 5G-NR cells that can be processed concurrently, allocate resources for processing 5G-NR cells, and determine techniques for processing these cells. The APIs facilitate communication between different layers of a 5G-NR network protocol stack, allowing for workload offloading and quality parameter-based decision-making.
The claims detail the functionalities of the processor, system, machine-readable medium, and method in implementing the APIs for 5G-NR cell processing. These include communication between network layers, offloading workloads, determining resource allocation based on quality parameters like latency and throughput, and providing responses on successful workload mapping. The described inventions cater to various 5G network services such as enhanced mobile broadband, ultra-reliable low latency communications, massive machine-type communications, and vehicle-to-everything operations, enhancing the efficiency and performance of processing 5G-NR cells.
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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.
