Milpitas, CA, United States of America

Philipp Raith

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Hewlett Packard Enterprise Development LP. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Philipp Raith. Retrieved from https://idiyas.com/inventor/philipp-raith

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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

Title: Philipp Raith and Energy-Aware Data Center Scheduling.

Introduction

Philipp Raith is an inventor based in Milpitas, California. His patent work addresses how data center operators can estimate the energy use and carbon emissions associated with running applications.

Latest Patents

Raith is associated with 1 patent: “Graph Based Representation of Data Centers to Predict Energy Consumption and Carbon Emission of the Data Centers During Operation.” The invention creates a graph representing data center host resources and combines it with an application signature graph to model the application’s resource utilization. A graph neural network processes the resulting representation to predict the application’s energy consumption, which can then inform decisions about scheduling the application across data center hosts.

Career Highlights

Raith is associated with Hewlett Packard Enterprise Development LP. His patent describes an approach to energy-aware application scheduling that uses graph-based modeling and machine learning to support data center operations.

Collaborations

The supplied information identifies Gourav Rattihalli and Dejan S. Milojicic as Raith’s coworkers. Their names are provided as collaboration context, but no specific roles in the patent are stated.

Conclusion

Philipp Raith’s patent focuses on using graph neural networks to predict application energy consumption and guide data center scheduling, connecting operational decisions with energy and carbon considerations.

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…