backup before fresh linux install

kubeadm-config.yaml

@@ -5,15 +5,14 @@
 #   bindPort: 6443
 # ---
 apiVersion: kubeadm.k8s.io/v1beta3
-kubernetesVersion: v1.25.0
+kubernetesVersion: v1.25.3
 kind: ClusterConfiguration
-# controlPlaneEndpoint: 192.168.111.25:6443
-# controlPlaneEndpoint: 192.168.111.200:6443
 networking:
   podSubnet: "10.244.0.0/16"
-  # podSubnet: "192.168.1.0/16"
+# controlPlaneEndpoint: "127.0.0.1:6443"
+Server:
+  timeoutForControlPlane: 5m0s
 ---
 kind: KubeletConfiguration
 apiVersion: kubelet.config.k8s.io/v1beta1
 cgroupDriver: systemd
-# resolvConf: /etc/resolv.conf

kubernetes/gpu_add.yaml

+apiVersion: v1
+kind: Pod
+metadata:
+  name: gpu-operator-test
+spec:
+  restartPolicy: OnFailure
+  containers:
+  - name: cuda-vector-add
+    image: "nvidia/samples:vectoradd-cuda10.2"
+    resources:
+      limits:
+         nvidia.com/gpu: 1

nvidia-device-plugin.yml

+# Copyright (c) 2019, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+apiVersion: apps/v1
+kind: DaemonSet
+metadata:
+  name: nvidia-device-plugin-daemonset
+  namespace: kube-system
+spec:
+  selector:
+    matchLabels:
+      name: nvidia-device-plugin-ds
+  updateStrategy:
+    type: RollingUpdate
+  template:
+    metadata:
+      labels:
+        name: nvidia-device-plugin-ds
+    spec:
+      tolerations:
+      - key: nvidia.com/gpu
+        operator: Exists
+        effect: NoSchedule
+      # Mark this pod as a critical add-on; when enabled, the critical add-on
+      # scheduler reserves resources for critical add-on pods so that they can
+      # be rescheduled after a failure.
+      # See https://kubernetes.io/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/
+      priorityClassName: "system-node-critical"
+      containers:
+      - image: localhost:5000/k8s-device-plugin:v0.12.3
+        name: nvidia-device-plugin-ctr
+        env:
+          - name: FAIL_ON_INIT_ERROR
+            value: "false"
+        securityContext:
+          allowPrivilegeEscalation: false
+          capabilities:
+            drop: ["ALL"]
+        volumeMounts:
+          - name: device-plugin
+            mountPath: /var/lib/kubelet/device-plugins
+      volumes:
+        - name: device-plugin
+          hostPath:
+            path: /var/lib/kubelet/device-plugins