Enterprises face significant challenges in developing and deploying Python-based Gen AI solutions—from model development, fine-tuning, and bias resolution to large-scale deployment. With few standardized tools available, OPEA, the Open Platform for Enterprise AI by the Linux Foundation, fills the gap. It offers a microservices framework for state-of-the-art GenAI systems, including LLMs, data stores, and prompt engines to accelerate enterprise adoption. The platform provides blueprints for end-to-end workflows like ChatQnA, CodeGen, and RAG systems. This talk explores practical steps for deploying cloud-native GenAI applications on Kubernetes across various hyperscalers, showcasing diverse data stores, open-source vector databases, and managed services to demonstrate RAG capabilities with over 50K documents. Attendees will learn deployment strategies with OPEA and discover clear paths for contributing to the project.