hotfix: use kind node version with containerd 1.8

as kind has upgraded its containerd version to 1.9 which triggered
issues to gpu-operator (see issue NVIDIA/gpu-operator#432)

so we sticked kind version with containerd 1.8

also fix gpu installation

hack/gpu/get-cudadriver.sh

@@ -6,23 +6,27 @@ if (( $EUID != 0 )); then
    exit
 fi
 
-ENV OS=ubuntu2204
-ENV cudnn_version=8.6.0.*
-ENV cuda_version=cuda11.8
+OS=ubuntu2004
+cudnn_version=8.6.0.*
+cuda_version=cuda11.8
 
-echo " this script runs on ${OS}, for other version please check https://developer.nvidia.com/cuda-downloads"
+echo " this script runs on $OS, for other version please check https://developer.nvidia.com/cuda-downloads"
 
 # purge previous installation
 # apt-get purge -y nvidia*
 
 apt-get update
 apt-get install -y wget
 
-wget https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin \
-    && mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600
-apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/3bf863cc.pub
-add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/ /"
+wget https://developer.download.nvidia.com/compute/cuda/repos/$OS/x86_64/cuda-$OS.pin \
+    && mv cuda-$OS.pin /etc/apt/preferences.d/cuda-repository-pin-600
+apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/$OS/x86_64/3bf863cc.pub
+add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/$OS/x86_64/ /"
 
 apt-get update
+
+# install older driver
+# apt-get install -y nvidia-driver-450 for k80
+
 # or use apt-get install -y nvidia-driver-515 to install previous driver version to avoid conflict in cuda11.8
-apt-get install -y cuda libcudnn8=${cudnn_version}-1+${cuda_version} libcudnn8-dev=${cudnn_version}-1+${cuda_version}
+apt-get install -y cuda libcudnn8=$cudnn_version-1+$cuda_version libcudnn8-dev=$cudnn_version-1+$cuda_version

hack/gpu/nvidia-container-runtime.sh

@@ -12,8 +12,9 @@ curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.li
 
 apt-get update && apt-get install -y nvidia-container-toolkit nvidia-container-runtime
 
-cat << EOF
-check /etc/docker/daemon.json contains the following config
+# if you were using containerd, please check here: https://github.com/NVIDIA/k8s-device-plugin#configure-containerd
+# append /etc/docker/daemon.json with the following config
+tee /etc/docker/daemon.json <<EOF
 {
     "default-runtime": "nvidia",
     "runtimes": {
@@ -23,22 +24,8 @@ check /etc/docker/daemon.json contains the following config
         }
     }
 }
-
-if you were using containerd, please check here: https://github.com/NVIDIA/k8s-device-plugin#configure-containerd
 EOF
 
-#tee /etc/docker/daemon.json <<EOF
-#{
-#    "default-runtime": "nvidia",
-#    "runtimes": {
-#        "nvidia": {
-#            "path": "/usr/bin/nvidia-container-runtime",
-#            "runtimeArgs": []
-#        }
-#    }
-#}
-#EOF
-
 # restart dockerd
 systemctl daemon-reload
 systemctl restart docker

pkg/template/kind_template.go

@@ -101,8 +101,7 @@ nodes:
     nodeRegistration:
       kubeletExtraArgs:
         node-labels: "ingress-ready=true"
-  # image: footprintai/kind-node:v1.21.9
-  image: kindest/node:v1.21.14
+  image: kindest/node:v1.21.14@sha256:ad5b7446dd8332439f22a1efdac73670f0da158c00f0a70b45716e7ef3fae20b
   gpus: {{.UseGPU}}
   {{if .ExportPorts}}extraPortMappings:{{end}}
   {{- range $i, $p := .ExportPorts}}