vCluster AI Conformance — v1.34 (Private Nodes)

CNCF Kubernetes AI Platform Conformance submission for vCluster with Private Nodes.

• Kubernetes version: v1.34
• Platform version: v0.32.0
• Submission: https://github.com/cncf/k8s-ai-conformance/tree/main/v1.34/vcluster-private-nodes
• k8s-conformance baseline: https://github.com/cncf/k8s-conformance/tree/master/v1.34/vcluster-private-nodes

What is vCluster with Private Nodes?

Private Nodes attach real physical Kubernetes nodes exclusively to a virtual cluster. This gives the vCluster dedicated GPU hardware for AI/ML workloads with node-level isolation — no other workload on the host cluster can schedule onto those nodes.

Files

File	Purpose
PRODUCT.yaml	CNCF AI conformance self-assessment — all 8 MUST items with evidence
README.md	This file

Conformance requirements covered

Category	Requirement	Status
Accelerators	DRA support (ResourceClaim, DeviceClass)	Implemented
Networking	Gateway API for AI inference traffic management	Implemented
Scheduling	Gang scheduling (Volcano, NVIDIA KAI)	Implemented
Scheduling	Cluster autoscaling with GPU node groups (Auto Nodes)	Implemented
Scheduling	HPA with GPU custom metrics (DCGM + Prometheus Adapter)	Implemented
Observability	Accelerator metrics (DCGM-Exporter, OTel)	Implemented
Observability	AI service metrics (Prometheus discovery)	Implemented
Security	Secure accelerator access (node-level + DRA isolation)	Implemented
Operators	AI CRD operators (Kubeflow, KServe, webhooks)	Implemented

Re-certification

Run /k8s-ai-conformance-research annually when a new Kubernetes minor version is released to check for spec changes and dead evidence URLs before updating for the next cycle.