Scaling AI in 2026: The Rise of the Open AI Factory on Kubernetes
Details
🛑 Important:
Please register here to join the webinar! We will host this webinar in BrightTalk.
đź—’ Overview:
AI adoption is accelerating across every industry, and 2026 will mark a major shift in how organizations design and operate their infrastructure. Traditional cloud patterns are reaching their limits as enterprises face GPU-intensive workloads, data locality challenges, multi-cluster operations, and stricter security and governance requirements.
This session explores the key AI infrastructure trends defining 2026 and introduces the AI Factory — a standardized, open architectural model that brings consistency to data pipelines, governance, security, and deployment. We’ll walk through the AI Factory Reference Architecture, a vendor-neutral blueprint that supports any GPU, any cloud, and any environment. Finally, we’ll show how k0rdent AI implements this architecture to deliver flexible, efficient, and lock-in-free AI operations at scale.
Key Takeaways:
- The top AI infrastructure trends shaping 2026 and why current models are hitting limits
- What an AI Factory architecture is and why enterprises are adopting it
- How an open, vendor-neutral AI Factory avoids lock-in and scales across any environment
- How k0rdent AI brings this architecture to life for modern AI operations
Reserve your seat to see how an open, Kubernetes-based AI Factory can accelerate your organization’s AI strategy in 2026 and beyond.
đź”— Register here
🏡 Location: Online (you’ll get the link once you register)
⏰ Date/Time: January 14 (Wed), 2026 @ 9 am PT / 12 pm ET / 6 pm CET
👉🏻 Speaker: Edward Ionel, Director of Growth Marketing
AI summary
By Meetup
Online webinar for AI/infrastructure leaders: learn the Open AI Factory on Kubernetes and how to deploy a vendor-neutral, scalable AI workflow across clouds.
AI summary
By Meetup
Online webinar for AI/infrastructure leaders: learn the Open AI Factory on Kubernetes and how to deploy a vendor-neutral, scalable AI workflow across clouds.
