Red Hat at Open Source Summit Korea 2025

Enterprises are rapidly evolving toward an “AI-Native” environment, where AI becomes a core element of business. Red Hat AI, built with an open source–driven ecosystem and a proven platform, enables organizations to securely and efficiently develop, deploy, and operate AI models optimized for their business, wherever the data resides. In this session, we will explore Red Hat’s Enterprise AI platform, grounded in the technology of open source and hybrid cloud, and discuss new directions for AI as it continues to capitalize on the innovation open source collaboration can bring.

Daniel Oh,

Senior Principal Developer Advocate, Red Hat

The Kepler open-source project is vital for monitoring energy consumption in Kubernetes. However, its raw and complex data often exists in a vacuum that Enterprises take time to interpret and use. This presentation introduces the next evolution: integrating Kepler with the Model Context Protocol (MCP). This transforms Kepler into an interactive, queryable data source, allowing developers to contextualize energy metrics in real time. I'll explore how this new approach, empowers developers to not only observe power consumption but to compare it against local regulatory frameworks, such us MIC in Japan, and international standards. The session culminates in a live demo where we will use MCP to query a high-CPU workload, instantly validating its energy profile against predefined compliance targets. This powerful combination dramatically accelerates the time-to-market for verified green and compliant cloud-native applications.