Feature Overview (aka. Goal Summary)  

An elevator pitch (value statement) that describes the Feature in a clear, concise way.  Complete during New status.

The CNCF community introduced a conformance program focused on AI workloads in the Kubernetes space. This program is similar to the Kubernetes Conformance program. The idea is to ensure a vendor's Kubernetes platform conforms with "a standardized set of capabilities, APIs, and configurations that a Kubernetes cluster must offer to reliably and efficiently run AI/ML [machine learning] workloads." More at Kubernetes Conformance for AI.

CNCF plans to announce this program at the upcoming Kubecon North America (Atlanta) in Nov 2025. All vendors are invited to submit conformance testing results for review and certification by the CNCF prior to Oct 30 2025. 

Goals (aka. expected user outcomes)

The observable functionality that the user now has as a result of receiving this feature. Include the anticipated primary user type/persona and which existing features, if any, will be expanded. Complete during New status.

Ensure each OpenShift version is certified to conform with the CNCF Kubernetes AI conformance certification.

Requirements (aka. Acceptance Criteria):

A list of specific needs or objectives that a feature must deliver in order to be considered complete.  Be sure to include nonfunctional requirements such as security, reliability, performance, maintainability, scalability, usability, etc.  Initial completion during Refinement status.

• Red Hat needs to complete the Kubernetes AI Conformance Self-Certification Checklist as a YAML and file it via a PR at https://github.com/cncf/ai-conformance for review by CNCF.
• Note: This needs to be filed for each OpenShift version (starting from Kubernetes version 1.34).

References:

• Certified AI Platform Conformance Program
• Self-Cert Kubernetes AI Conformance Checklist Template
• How to submit conformance results