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ZDNET's key takeaways
This program ensures users can migrate AI workloads between Kubernetes distributions.
Kubernetes will finally support rollbacks for returning to a working cluster if something goes wrong.
Several other improvements will make Kubernetes even friendlier for AI workloads.
Over a decade ago, there were many alternatives to Kubernetes for container orchestration. Today, unless you've been in cloud-native computing for a long, long time, you'd be hard-pressed to name any of them. That's because Kubernetes was clearly the best choice.
Back then, containers, thanks to Docker, were the hot new technology. Fast-forward a decade, and the technology that has everyone worked up is AI. To that end, the Cloud Native Computing Foundation (CNCF) launched the Certified Kubernetes AI Conformance Program (CKACP) at KubeCon North America 2025 in Atlanta as a standardized way of deploying AI workloads on Kubernetes clusters.
A safe, universal platform for AI workloads
CKACP's goal is to create community-defined, open standards for consistently and reliably running AI workloads across different Kubernetes environments.
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