Building the AI Factory: CI/CD, GitOps, and Delivery for GenAI
2026.09.24 Red Hat-LandingPage-1540x660

Sponsored By:

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September 24th, Thursday

11:00 AM ET

The webinar is part of a sponsored whitepaper package with Futurum on GitOps. The core thesis of the paper is that GenAI operationalization is fundamentally a distributed systems and platform engineering challenge, rather than just a data science problem. The paper addresses the "Shadow AI" crisis. DevOps leaders are actively dealing with the operational, security, and cost risks created when isolated teams bypass enterprise controls to stand up AI silos. It argues that organizations should not build separate AI stacks, but instead extend their existing disciplines, like GitOps, CI/CD, policy-as-code, and declarative delivery, to manage GenAI. The goal would be for the panel to provide actionable, engineering-focused solutions for a DevOps.com and techstrong.ai audience.

Key Takeaways:

1. Scaling GenAI is fundamentally a platform engineering and distributed systems challenge, not just a data science project.

2. Avoid building parallel AI silos by extending existing DevOps and GitOps disciplines.

3. Enterprises must combat "Shadow AI" by providing centralized, self-service infrastructure.

4. Governance and observability must be embedded directly into the platform.



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Christopher Nuland - headshot-modified

Christopher Nuland

Chief AI Architect - Red Hat

 Christopher Nuland currently serves as a Chief AI Architect at Red Hat. His background includes spearheading machine learning and big data analytics initiatives across different industries and verticals. During his tenure in Red Hat Consulting, he specialized in cloud-native migrations, AI adoption, and metrics-driven transformations. He has been a keynote speaker and spoken at conferences worldwide, including KubeCon US/EU, and PyTorch Con. Currently involved within the PyTorch community. 

Natale Vinto headshot-modified

Natale Vinto

Technical Director, Hybrid Cloud and Enterprise AI - Red Hat
 Natale Vinto is a seasoned Software Engineer, Solutions Architect, and tech evangelist with well over a decade of expertise in IT and ICT technologies. He possesses a deeply consolidated background in telecommunications, Linux operating systems, DevOps, and cloud-native architecture. Currently serving as a Technical Director and Evangelism Director at Red Hat, Natale focuses heavily on helping developers, open-source communities, and enterprise customers successfully navigate and implement their Kubernetes, GitOps, and Cloud-Native AI strategies.