Transitioning generative AI from proof-of-concept to production is one of the most critical challenges organizations are facing today.
Moving generative AI from prototype to production requires more than just picking a model—it demands scalable, cost-effective, and resilient inference infrastructure. In this session, we will discuss the practical deployment paths across the Red Hat AI portfolio. Discover how technologies like Red Hat AI Inference, OpenShift AI, and high-throughput engines like vLLM enable enterprise-grade LLM serving across hybrid cloud environments.
The goal of this session is to help organizations start thinking about a clear strategy for where and how to host their Large Language Models (LLMs).
Presentation points
- Red Hat AI portfolio
- Model Catalog, model registry
- How to deploy model
Live event date and time: Wednesday, September 23, 2026 | 12:30 p.m ET
On-demand event: Available for one year afterward
Speakers
Alpa Jain
Principal Technical Account Manager, Red Hat
Alpa Jain has been with Red Hat and the Southeast U.S. team since 2016. She is a Red Hat Certified Specialist in OpenShift AI and is located in the Atlanta, Georgia area. Alpa has worked with a wide array of Red Hat customers and enjoys helping them be successful with Red Hat products.
Raj Varadarajan
Sr. Technical Account Manager, Red Hat
Raj Varadarajan joined the Red Hat Telco TAM team in 2021. As a Red Hat Certified OpenShift AI Specialist, Raj guides both Telco and non-Telco customers through deploying and managing Red Hat products, deriving great joy in helping organizations strengthen their business continuity and overall success.
