San Jose, CA, United States of America

Sanjay Saxena

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Nvidia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sanjay Saxena. Retrieved from https://idiyas.com/inventor/sanjay-saxena-bko9fh1x

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Sanjay Saxena and GPU-Based Serverless Computing.

Introduction

Sanjay Saxena is an inventor based in San Jose, California, and is associated with NVIDIA Corporation. His work includes a patent on coordinating cloud resources for serverless applications that use graphics processing units (GPUs).

Latest Patents

Saxena is credited with 1 patent: “Data Center Resource Orchestration Using Serverless Application Programming Interfaces.” The patent describes a cloud function worker that executes code on GPUs in a serverless architecture. The worker receives a request from a controller-managed queue, runs the requested code on a GPU, and evaluates GPU metrics. When those metrics meet a bandwidth criterion, the worker requests another execution task and runs it concurrently with the first. This approach is designed to make use of available GPU capacity while handling serverless workloads.

Career Highlights

Saxena’s listed patent connects his inventive work with cloud computing, GPU resource management, and serverless application programming interfaces. The disclosed technique focuses on coordinating concurrent code execution according to GPU performance metrics.

Collaborations

Saxena’s listed coworker is Cameron Moore. The available information does not specify their roles or describe the nature of their collaboration.

Conclusion

Sanjay Saxena’s patent presents a method for orchestrating GPU resources in serverless environments, with a focus on using performance metrics to support concurrent cloud function execution.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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