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.