Cloud Native Computing Foundation

Distributed AI training workloads impose complex scheduling requirements that Kubernetes’s built-in scheduler can’t meet. Kubernetes schedules pods individually and independently, but distributed training introduces two requirements that break this model: Pods must land on hardware with the right inter-GPU bandwidth, and all pods must be scheduled simultaneously. If either re...

The CNCF End User Community is launching its User Group Program at KubeCon + CloudNativeCon North America. These are long-lived groups, each built around an industry vertical or problem domain, that serves the common need of the end user community, and reports directly to the CNCF Technical Advisory Board (TAB).

Cloud n...

Operating over 100 Kubernetes clusters across €1.39T in volume, Adyen brings production-scale fintech expertise to CNCF governance and open source projects

Key Highlights

Using Argo CD and Kargo, Meta is building a GitOps platform to streamline application delivery across 100 Kubernetes clusters supporting AI research and inference

Key Highlights

AI agents do more than call APIs. They run shells, install packages, read files, and open network connections. Often they act on text they pulled from the internet a minute earlier. So every agent is untrusted code that holds real credentials.