Daejeon, South Korea

Jun Yeol Yu

This inventor holds 1 USPTO granted patent. Top assignee: Electronics and Telecommunications Research Institute. Active years: 2026.


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Jun Yeol Yu in Machine Learning Services

Introduction

Jun Yeol Yu is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of machine learning, particularly in optimizing power consumption in GPU servers. His innovative approach has the potential to enhance the efficiency of cloud-based machine learning services.

Latest Patents

Jun Yeol Yu holds a patent titled "Method and apparatus for configuring cluster for machine learning service based on minimizing power consumption of GPU servers." This patent outlines a method for configuring a cluster by assigning graphics processing unit (GPU) servers in a cloud environment. The method focuses on measuring the power consumption characteristics of each GPU server for various machine learning models. By utilizing these characteristics, the system can effectively assign GPU servers to different models, thereby optimizing the configuration of GPU clusters.

Career Highlights

Jun Yeol Yu is associated with the Electronics and Telecommunications Research Institute, where he continues to work on advancing technologies in machine learning and cloud computing. His research aims to improve the performance and sustainability of machine learning services through innovative solutions.

Collaborations

He has collaborated with notable colleagues, including Eui Seong Seo and Jong Seok Kim, to further enhance the impact of his research and innovations in the field.

Conclusion

Jun Yeol Yu's contributions to the optimization of GPU servers for machine learning services exemplify the importance of innovation in technology. His work not only addresses current challenges but also paves the way for future advancements in the field.

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