KubeCon + CloudNativeCon Europe 2025

Communication barriers exclude millions of people from fully participating in everyday interactions. For the deaf and hard-of-hearing community, the absence of scalable, real-time sign language interpretation remains a persistent challenge. In this session, we will demonstrate a forward-looking AI-powered application that translates sign language into spoken language, deployed and orchestrated on Kubernetes. This application leverages generative AI (LxMs) to scale for multiple users, representing a step toward a future where communication is accessible to all.
Using the sign language translation use case, the session will demonstrate how Kubernetes is well positioned to support AI workloads, how it optimizes cluster resources for video and language processing, and how it integrates seamlessly with generative AI use-cases.