Multi-agent architectures usher in a new era: instead of a single monolithic AI model, we deploy a set of specialized agents that collaborate, each mastering a specific task, to form a globally more robust and scalable system.

But how can we leverage Kubernetes orchestration to create the future of distributed AI ? Inter-agent communication (sync, event, async), new orchestration patterns, and service exposure (RAG, MCP) are the new challenges.
This session explores the similarities and differences between cloud-native orchestration patterns and those required for deploying AI agents.
As crazy developers who love great music and entertainment, we created a case study to demonstrate how distributed AI on Kubernetes can create immersive ambiances by controlling sound and lighting effects.
This hands-on demonstration will show how to reconcile Kubernetes and distributed AI back into the physical world, bridging cloud-native orchestration with immersive hardware-driven experiences