GPU Scheduling is failing after deploying GPU Operator

[akyriako]

Steps to reproduce:

1. Choose HCE2.0 for the nodes
2. Deploy CCE AI Suite Add-in
3. Deploy GPU Operator
4. Deploy cuda-vectoradd workload

You get: UnexpectedAdmissionError

Name: cuda-vectoradd Namespace: default Priority: 0 Service Account: default Node: 10.10.10.84/ Start Time: Sat, 18 Apr 2026 09:31:59 +0200 Labels: Annotations: cce.io/gpu-decision: {"cuda-vectoradd":{"nvidia0":1000}} Status: Failed Reason: UnexpectedAdmissionError Message: Pod was rejected: Allocate failed due to rpc error: code = Unknown desc = invalid allocation request for "nvidia.com/gpu": invalid request: unknown device: nvidia0, which is unexpected IP: IPs: Containers: cuda-vectoradd: Image: nvcr.io/nvidia/k8s/cuda-sample:vectoradd-cuda11.7.1-ubuntu20.04 Port: Host Port: Limits: nvidia.com/gpu: 1 Requests: nvidia.com/gpu: 1 Environment: Mounts: /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-8k6b8 (ro) Volumes: kube-api-access-8k6b8: Type: Projected (a volume that contains injected data from multiple sources) TokenExpirationSeconds: 3607 ConfigMapName: kube-root-ca.crt Optional: false DownwardAPI: true QoS Class: BestEffort Node-Selectors: Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s node.kubernetes.io/unreachable:NoExecute op=Exists for 300s nvidia.com/gpu=true:NoSchedule Events: Type Reason Age From Message ---- ------ ---- ---- ------- Normal Scheduled 3m13s default-scheduler Successfully assigned default/cuda-vectoradd to 10.10.10.84 Warning UnexpectedAdmissionError 3m13s kubelet Allocate failed due to rpc error: code = Unknown desc = invalid allocation request for "nvidia.com/gpu": invalid request: unknown device: nvidia0, which is unexpected