1. Quick Debug Information

• OS/Version(e.g. RHEL8.6, Ubuntu22.04): RHEL8.6
• Kernel Version: 4.18.0-372.9.1.el8.x86_64
• Container Runtime Type/Version(e.g. Containerd, CRI-O, Docker): cri-o://1.26.4
• K8s Flavor/Version(e.g. K8s, OCP, Rancher, GKE, EKS): K8S 1.27.1
• GPU Operator Version: 23.9.x

2. Issue or feature description

Iam trying to install gpu operator using helm. During install, driver pod(nvidia-driver-daemonset-fwcvl) fails with below error
below are pod logs -- omitted the initial part and added only error logs.

• '[' '' '!=' builtin ']'
  Updating the package cache...
• echo 'Updating the package cache...'
• yum -q makecache
  Error: Failed to download metadata for repo 'rhel-8-for-x86_64-appstream-rpms': Cannot download repomd.xml: Cannot download repodata/repomd.xml: All mirrors were tried
  FATAL: failed to reach RHEL package repositories. Ensure that the cluster can access the proper networks.
• echo 'FATAL: failed to reach RHEL package repositories. ' 'Ensure that the cluster can access the proper networks.'

• kubernetes pods status: kubectl get pods -n gpu-operator
  gpu-feature-discovery-zqm9h 0/1 Init:0/1 0 86m
  gpu-operator-1700756391-node-feature-discovery-gc-5c546559bfmj2 1/1 Running 0 93m
  gpu-operator-1700756391-node-feature-discovery-master-79796bzcb 1/1 Running 0 93m
  gpu-operator-1700756391-node-feature-discovery-worker-6ddld 1/1 Running 0 93m
  gpu-operator-1700756391-node-feature-discovery-worker-8c2k4 1/1 Running 0 93m
  gpu-operator-1700756391-node-feature-discovery-worker-nzd7b 1/1 Running 0 93m
  gpu-operator-1700756391-node-feature-discovery-worker-x8nx9 1/1 Running 0 93m
  gpu-operator-68d85f45d-v97fz 1/1 Running 0 93m
  nvidia-container-toolkit-daemonset-kqmtx 0/1 Init:0/1 0 86m
  nvidia-dcgm-exporter-5ncg7 0/1 Init:0/1 0 86m
  nvidia-device-plugin-daemonset-qmvhc 0/1 Init:0/1 0 86m
  nvidia-driver-daemonset-fwcvl 0/1 CrashLoopBackOff 19 (3m20s ago) 87m
  nvidia-operator-validator-vcztn 0/1 Init:0/4 0 86m

• kubernetes daemonset status: kubectl get ds -n OPERATOR_NAMESPACE
  NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE
  gpu-feature-discovery 1 1 0 1 0 nvidia.com/gpu.deploy.gpu-feature-discovery=true 94m
  gpu-operator-1700756391-node-feature-discovery-worker 4 4 4 4 4 94m
  nvidia-container-toolkit-daemonset 1 1 0 1 0 nvidia.com/gpu.deploy.container-toolkit=true 94m
  nvidia-dcgm-exporter 1 1 0 1 0 nvidia.com/gpu.deploy.dcgm-exporter=true 94m
  nvidia-device-plugin-daemonset 1 1 0 1 0 nvidia.com/gpu.deploy.device-plugin=true 94m
  nvidia-driver-daemonset 1 1 0 1 0 nvidia.com/gpu.deploy.driver=true 94m
  nvidia-mig-manager 0 0 0 0 0 nvidia.com/gpu.deploy.mig-manager=true 94m
  nvidia-operator-validator 1 1 0 1 0 nvidia.com/gpu.deploy.operator-validator=true 94m

• If a pod/ds is in an error state or pending state kubectl describe pod -n OPERATOR_NAMESPACE POD_NAME
  k describe po nvidia-driver-daemonset-fwcvl
  Name: nvidia-driver-daemonset-fwcvl
  Namespace: gpu-operator
  Priority: 2000001000
  Priority Class Name: system-node-critical
  Service Account: nvidia-driver
  Node: lab-worker-4/172.21.1.70
  Start Time: Thu, 23 Nov 2023 11:26:21 -0500
  Labels: app=nvidia-driver-daemonset
  app.kubernetes.io/component=nvidia-driver
  app.kubernetes.io/managed-by=gpu-operator
  controller-revision-hash=5954d75477
  helm.sh/chart=gpu-operator-v23.9.0
  nvidia.com/precompiled=false
  pod-template-generation=1
  Annotations: cni.projectcalico.org/containerID: 14eb92fe162f5d1ddcf0d32343f0815ae1325dfca8eb88354d979f7cbc335c5d
  cni.projectcalico.org/podIP: 192.168.148.114/32
  cni.projectcalico.org/podIPs: 192.168.148.114/32
  kubectl.kubernetes.io/default-container: nvidia-driver-ctr
  Status: Running
  IP: 192.168.148.114
  IPs:
  IP: 192.168.148.114
  Controlled By: DaemonSet/nvidia-driver-daemonset
  Init Containers:
  k8s-driver-manager:
  Container ID: cri-o://b15e393c5603042c1938c49f132a706332ba76bb21dab6ea2d50a0fe2a0cf3b3
  Image: nvcr.io/nvidia/cloud-native/k8s-driver-manager:v0.6.4
  Image ID: nvcr.io/nvidia/cloud-native/k8s-driver-manager@sha256:5ca81f4f7e55f7b304dbbb7aaa235fca2656789145e4b34f47a7ab7079704dc7
  Port:
  Host Port:
  Command:
  driver-manager
  Args:
  uninstall_driver
  State: Terminated
  Reason: Completed
  Exit Code: 0
  Started: Thu, 23 Nov 2023 11:26:22 -0500
  Finished: Thu, 23 Nov 2023 11:26:54 -0500
  Ready: True
  Restart Count: 0
  Environment:
  NODE_NAME: (v1:spec.nodeName)
  NVIDIA_VISIBLE_DEVICES: void
  ENABLE_GPU_POD_EVICTION: true
  ENABLE_AUTO_DRAIN: false
  DRAIN_USE_FORCE: false
  DRAIN_POD_SELECTOR_LABEL:
  DRAIN_TIMEOUT_SECONDS: 0s
  DRAIN_DELETE_EMPTYDIR_DATA: false
  OPERATOR_NAMESPACE: gpu-operator (v1:metadata.namespace)
  Mounts:
  /host from host-root (ro)
  /run/nvidia from run-nvidia (rw)
  /sys from host-sys (rw)
  /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-qphz2 (ro)
  Containers:
  nvidia-driver-ctr:
  Container ID: cri-o://8139fed89018b0c4382884f44dfa1f7146711824baf3029b9b8b416e4e91c9f5
  Image: nvcr.io/nvidia/driver:525.125.06-rhel8.6
  Image ID: nvcr.io/nvidia/driver@sha256:b58167d31d34784cd7c425961234d67c5e2d22eb4a5312681d0337dae812f746
  Port:
  Host Port:
  Command:
  nvidia-driver
  Args:
  init
  State: Waiting
  Reason: CrashLoopBackOff
  Last State: Terminated
  Reason: Error
  Exit Code: 1
  Started: Thu, 23 Nov 2023 12:49:50 -0500
  Finished: Thu, 23 Nov 2023 12:50:24 -0500
  Ready: False
  Restart Count: 19
  Startup: exec [sh -c nvidia-smi && touch /run/nvidia/validations/.driver-ctr-ready] delay=60s timeout=60s period=10s #success=1 #failure=120
  Environment:
  Mounts:
  /dev/log from dev-log (rw)
  /host-etc/os-release from host-os-release (ro)
  /run/mellanox/drivers from run-mellanox-drivers (rw)
  /run/mellanox/drivers/usr/src from mlnx-ofed-usr-src (rw)
  /run/nvidia from run-nvidia (rw)
  /run/nvidia-topologyd from run-nvidia-topologyd (rw)
  /var/log from var-log (rw)
  /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-qphz2 (ro)
  Conditions:
  Type Status
  Initialized True
  Ready False
  ContainersReady False
  PodScheduled True
  Volumes:
  run-nvidia:
  Type: HostPath (bare host directory volume)
  Path: /run/nvidia
  HostPathType: DirectoryOrCreate
  var-log:
  Type: HostPath (bare host directory volume)
  Path: /var/log
  HostPathType:
  dev-log:
  Type: HostPath (bare host directory volume)
  Path: /dev/log
  HostPathType:
  host-os-release:
  Type: HostPath (bare host directory volume)
  Path: /etc/os-release
  HostPathType:
  run-nvidia-topologyd:
  Type: HostPath (bare host directory volume)
  Path: /run/nvidia-topologyd
  HostPathType: DirectoryOrCreate
  mlnx-ofed-usr-src:
  Type: HostPath (bare host directory volume)
  Path: /run/mellanox/drivers/usr/src
  HostPathType: DirectoryOrCreate
  run-mellanox-drivers:
  Type: HostPath (bare host directory volume)
  Path: /run/mellanox/drivers
  HostPathType: DirectoryOrCreate
  run-nvidia-validations:
  Type: HostPath (bare host directory volume)
  Path: /run/nvidia/validations
  HostPathType: DirectoryOrCreate
  host-root:
  Type: HostPath (bare host directory volume)
  Path: /
  HostPathType:
  host-sys:
  Type: HostPath (bare host directory volume)
  Path: /sys
  HostPathType: Directory
  kube-api-access-qphz2:
  Type: Projected (a volume that contains injected data from multiple sources)
  TokenExpirationSeconds: 3607
  ConfigMapName: kube-root-ca.crt
  ConfigMapOptional:
  DownwardAPI: true
  QoS Class: BestEffort
  Node-Selectors: nvidia.com/gpu.deploy.driver=true
  Tolerations: node.kubernetes.io/disk-pressure:NoSchedule op=Exists
  node.kubernetes.io/memory-pressure:NoSchedule op=Exists
  node.kubernetes.io/not-ready:NoExecute op=Exists
  node.kubernetes.io/pid-pressure:NoSchedule op=Exists
  node.kubernetes.io/unreachable:NoExecute op=Exists
  node.kubernetes.io/unschedulable:NoSchedule op=Exists
  nvidia.com/gpu:NoSchedule op=Exists
  Events:
  Type Reason Age From Message

Warning BackOff 3m53s (x350 over 87m) kubelet Back-off restarting failed container nvidia-driver-ctr in pod nvidia-driver-daemonset-fwcvl_gpu-operator(1ab5bc39-dd70-411f-9592-a6b5b69ff723)

any help on this issue will be very much appreciated