2026-02-13 –, (Workshop) VYAS - G - Room#VY004
Enterprise adoption of Generative AI requires building a robust, secure, and scalable service. This demands a unified effort from platform engineering, development, and operations. How do you manage infrastructure, integrate models with apps, and maintain governance? In this unique, hands-on lab, you will experience the complete AI lifecycle by rotating through four critical personas on Red Hat OpenShift AI. As a Platform Engineer, you'll deploy model serving runtimes and prepare GPU infrastructure for hosting private, scalable LLMs. As an AI Application Developer, you'll connect a real-world app to a private LLM endpoint and use a code assistant to accelerate development. As a DevOps Practitioner, you'll use agentic AI to intelligently monitor the health and resource consumption of your AI Platform/ cluster. As a Technical Decision Maker, you'll use dashboards to analyze model usage, track costs, and make informed governance decisions. Participants will walk away with a holistic, practical understanding of how to build, integrate, and manage a complete, production-ready Generative AI service on a single platform.
Ritesh Shah is a Senior Principal Architect with Red Hat and focuses on creating and using next-generation platforms, including AI/ML workloads as well as application modernisation and deployment.
Ritesh is an advocate for open source technologies and products, focusing on modern platform architecture and design for critical business needs. He is passionate about next-generation platforms and how application teams, including data scientists, can use open source technologies to their advantage.
I’m Mitesh Sharma, a Senior Principal Technical Marketing Manager at Red Hat. I build solution-driven demos that help Solution Architects clearly connect product capabilities with real customer value. My focus is on showcasing Red Hat’s innovation in automation in a way that accelerates customer adoption and supports deal closure.