Pune, India

Sandip Kumar

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sandip Kumar. Retrieved from https://idiyas.com/inventor/sandip-kumar-sqcr3n8l

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


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Sandip Kumar - Innovator in Machine Learning for Data Centers

Introduction

Sandip Kumar is a notable inventor based in Pune, India. He has made significant contributions to the field of machine learning, particularly in optimizing data center operations. His innovative approach focuses on enhancing energy efficiency through intelligent core management.

Latest Patents

Sandip Kumar holds a patent for "Identifying idle-cores in data centers using machine-learning (ML)." This patent describes apparatuses, systems, and techniques to determine the number of idle cores of a computing device using a machine learning model. The method involves analyzing a set of processes executed by the computing device to ascertain how many cores can be powered down, thereby reducing energy consumption.

Career Highlights

Currently, Sandip Kumar is employed at Nvidia Corporation, a leading company in graphics processing and AI technology. His work at Nvidia emphasizes the application of machine learning to improve data center efficiency. With a focus on innovation, he continues to push the boundaries of technology in this domain.

Collaborations

Some of Sandip's coworkers include Yogesh Dangi and Manas Ranjan Jagadev. Their collaborative efforts contribute to the advancement of machine learning applications within the company.

Conclusion

Sandip Kumar's work exemplifies the intersection of machine learning and energy efficiency in data centers. His patent reflects a commitment to innovation that can lead to significant advancements in technology and sustainability.

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]
Loading…