Telecom networks, especially with 5G expansion, are major energy consumers. What if we could cut energy use and carbon emissions without compromising performance? In this session, we’ll show how Kubernetes and OpenSource tools can transform Radio Access Networks (RAN) into energy-efficient systems.

We’ll walk through deploying AI/ML pipelines to predict network traffic and optimize energy in real-time. Using Kubernetes for scalability, Prometheus and Grafana for monitoring, and open-source tools for automation, we’ll demonstrate how these technologies come together to tackle energy challenges.

The session ends with a live demo, starting with a RAN simulator, integrating AI workloads, and visualizing energy-saving results. You’ll see the power of OpenSource in action and leave with practical tips, reusable code, and a clear vision for making telecom networks more sustainable.