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Nvidia Corporation Patent Portfolio Statistics

Nvidia Corporation

Nvidia Corporation`s Profile

This article summarizes the perfomance of the assignee in the recent years. The overall statistics for this portfolio help to analyze the areas where the assignee is performing well. The filing trend, perfomance across the tech centers and the perfomance of the recent applications has been mentioned below. All the stats are calculated based on the perfomance in USPTO.

How does the overall patent portfolio of Nvidia Corporation look like?

Total Applications: 4838
Granted Patents: 3702
Grant Index 87.31 %
Abandoned/Rejected Applications: 538 (12.69%)
In-Process Applications: 574
Average Grant Time: 3.96 Years
Average Office Actions: 2.51

Which Technology Area Nvidia Corporation is filing most patents in? (Last 10 years)

Art Unit Definition Total Applications
2628 Selective Visual Display Systems 435
2611 Computer Graphic Processing, 3D Animation, Display Color Attribute, Object Processing, Hardware and Memory 196
Opap Parked GAU 196
2612 Computer Graphic Processing, 3D Animation, Display Color Attribute, Object Processing, Hardware and Memory 149
2183 Computer Architecture and I/O 133

How many patents are Nvidia Corporation filing every year?

Year Total Applications
2022 0*
2021 129*
2020 356
2019 267
2018 155

*The drop in the number of applications filed in last two years compared to previous years is because applications can take up to 18 months to get published

Recently filed patent applications of Nvidia Corporation in USPTO?

Publication number: US20220026987A1

Abstract:
Apparatuses, systems, and techniques are described to determine locations of objects using images including digital representations of those objects. In at least one embodiment, a gaze of one or more occupants of a vehicle is determined independently of a location of one or more sensors used to detect those occupants.

Publication date: 2022-01-27
Applicant: Nvidia Corporation
Inventors: Feng Hu


Publication number: US20220029845A1

Abstract:
A network device configured to perform scalable, in-network computations is described. The network device is configured to process pull requests and/or push requests from a plurality of endpoints connected to the network. A collective communication primitive from a particular endpoint can be received at a network device. The collective communication primitive is associated with a multicast region of a shared global address space and is mapped to a plurality of participating endpoints. The network device is configured to perform an in-network computation based on information received from the participating endpoints before forwarding a response to the collective communication primitive back to one or more of the participating endpoints. The endpoints can inject pull requests (e.g., load commands) and/or push requests (e.g., store commands) into the network. A multicast capability enables tasks, such as a reduction operation, to be offloaded to hardware in the network device.

Publication date: 2022-01-27
Applicant: Nvidia Corporation
Inventors: Gregory M Thorson


Publication number: US20220020202A1

Abstract:
A hardware-based traversal coprocessor provides acceleration of tree traversal operations searching for intersections between primitives represented in a tree data structure and a ray. The primitives may include opaque and alpha triangles used in generating a virtual scene. The hardware-based traversal coprocessor is configured to determine primitives intersected by the ray, and return intersection information to a streaming multiprocessor for further processing. The hardware-based traversal coprocessor is configured to provide a deterministic result of intersected triangles regardless of the order that the memory subsystem returns triangle range blocks for processing, while opportunistically eliminating alpha intersections that lie further along the length of the ray than closer opaque intersections.

Publication date: 2022-01-20
Applicant: Nvidia Corporation
Inventors: Karras Tero


How are Nvidia Corporation’s applications performing in USPTO?

Application Number Title Status Art Unit Examiner
17498353 Gaze Detection Using One Or More Neural Networks OPAP Central, Docket
17495547 Scalable In-Network Computation For Massively-Parallel Shared-Memory Processors 2448 Edwards, James A
17490024 Method For Handling Of Out-Of-Order Opaque And Alpha Ray/Primitive Intersections OPAP Central, Docket
17449310 Distance Estimation To Objects And Free-Space Boundaries In Autonomous Machine Applications OPAP Central, Docket