NVIDIA had 154 patents in big data during Q2 2024. NVIDIA Corp’s patents in Q2 2024 focus on technologies for updating upstream states in streaming pipelines, rendering complex surfaces using neural signed distance functions, determining associations between objects in sensor data, configuring networking devices with system budgets, and enabling quantum key distribution in intra-datacenter networks. These patents showcase advancements in data processing, rendering, networking, and quantum communication technologies. 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 had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Remote promise and remote future for downstream components to update upstream states (Patent ID: US20240211429A1)
The patent filed by NVIDIA Corp. describes technologies that allow downstream components to update upstream states in streaming pipelines. The method involves a first computing device receiving a remote promise object from a second computing device, which uniquely identifies a block of serialized data stored in the second device's memory. The first device then retrieves the data block, sends a different serialized object back to the second device, and releases the remote promise object.
The patent includes claims for a computing system and a method that detail the process of exchanging data blocks between computing devices in a data center using remote promise objects. These claims specify the steps involved in transferring data, updating reference count tokens, and releasing serialized objects based on certain conditions. The technology utilizes remote direct memory access (RDMA) operations to efficiently transfer data blocks over a network fabric. Additionally, the patent covers scenarios where multiple remote promise objects are generated and managed to facilitate data exchange between different computing devices within the data center.
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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.
