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
Host: Raj Varadarajan, Sr. Technical Account Manager, Red Hat
Raj Varadarajan joined Red Hat in August 2021 as an OpenStack TAM in the Telco team and is also a Red Hat Certified OpenShift AI specialist. Raj enjoys cross functional collaboration, providing leadership and works towards ensuring some of the tier 1 telco and enterprise customers transition smoothly into modern Red Hat architectures/products.
Live event date and time: Wednesday, September 23, 2026 | 12:30 p.m ET
On-demand event: Available for one year afterward
Speaker
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.
