Artificial intelligence is all the rage at the moment. Fanning the intense and unending dialogue around AI, is the fact that the industry has only scratched the surface of its vast capabilities.

With its well-known flexibility, developer-friendly outlook and vast scaling capabilities, Kubernetes is fast becoming the go-to platform for AI-related operations.

“I think that Kubernetes, over the last 10 years, has evolved so that it works in the data center, it works on virtualization, it works in multiple clouds [and] it’s extending to the edge,” said Chuck Dubuque (pictured, right), senior director of product marketing, hybrid platforms, at Red Hat Inc. “All of these footprints are where AI comes together with developers, it comes together with the applications, with where the data sources are, and it’s a sort of a marriage made in heaven.”

Dubuque and Chris Chase (left), principal software engineer at Red Hat Inc., spoke with theCUBE industry analysts John Furrier and Savannah Peterson at KubeCon + CloudNativeCon NA, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed Kubernetes’ evolution, scalability and role in enabling AI workloads across diverse environments. (* Disclosure below.)

OpenShift for hybrid cloud

A Red Hat initiative, OpenShift supports the entire dev lifecycle as teams provision and manage container workloads into a larger ecosystem. It will play a significant role in running generative AI workloads across the now-standard hybrid cloud paradigm.

“Red Hat wants you to be able to run your models on your hardware with your data,” Chase explained. “We don’t want you getting stuck somewhere where you get locked in. We’re enabling AI on those hyperscalers, and you can move between them [or] put it on-prem. OpenShift being built on top of Kubernetes gives us that power anywhere in the hybrid cloud, so you’re going to be able to run your AI everywhere.”

With Kubernetes’ evolution over the last decade, it’s become compatible with various environments, from data centers to the edge. The synergy between AI, developers, applications and data sources creates the kind of harmonious collaboration that’ll spur further AI innovation, Chase added.

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of KubeCon + CloudNativeCon NA:

(* Disclosure: TheCUBE is a paid media partner for KubeCon + CloudNativeCon NA. Neither Red Hat Inc. and CNCF, the main sponsors of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE