[DOC] Update the ubuntu repo key [skip ci] (#5431)

* Change the key for repo Signed-off-by: Hao Zhu <hazhu@nvidia.com> * Use key package to install cuda repo key Signed-off-by: Hao Zhu <hazhu@nvidia.com> * update cuda to latest Signed-off-by: Hao Zhu <hazhu@nvidia.com> * remove old key Signed-off-by: Hao Zhu <hazhu@nvidia.com>
NVIDIA · May 9, 2022 · b774bf5 · b774bf5
1 parent b7bb209
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diff --git a/docs/get-started/getting-started-on-prem.md b/docs/get-started/getting-started-on-prem.md
@@ -22,16 +22,16 @@ with Docker on Kubernetes then skip these as you will do this as part of the doc
   - While JDK11 is supported by Spark, RAPIDS Spark is built and tested with JDK8, so JDK8 is
   recommended. 
 - Install the GPU driver and CUDA toolkit
-  - [Download](https://developer.nvidia.com/cuda-11.0-update1-download-archive) and install
+  - [Download](https://developer.nvidia.com/cuda-11-6-1-download-archive) and install
     GPU drivers and the CUDA Toolkit. A reboot will be required after installation. 
 ```bash
-wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
-sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
-wget https://developer.download.nvidia.com/compute/cuda/11.0.3/local_installers/cuda-repo-ubuntu1804-11-0-local_11.0.3-450.51.06-1_amd64.deb
-sudo dpkg -i cuda-repo-ubuntu1804-11-0-local_11.0.3-450.51.06-1_amd64.deb
-sudo apt-key add /var/cuda-repo-ubuntu1804-11-0-local/7fa2af80.pub
+wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
+sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
+wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
+sudo dpkg -i cuda-keyring_1.0-1_all.deb
+sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
 sudo apt-get update
-sudo apt-get -y install cuda	
+sudo apt-get -y install cuda
 ```	
 
 Below are sections on installing Spark and the RAPIDS Accelerator on a single node.  You may want

diff --git a/docs/get-started/gpu_dataproc_packages_ubuntu_sample.sh b/docs/get-started/gpu_dataproc_packages_ubuntu_sample.sh
@@ -25,9 +25,9 @@ readonly CUDA_VERSION
 
 readonly NVIDIA_BASE_DL_URL='https://developer.download.nvidia.com/compute'
 # Parameters for NVIDIA-provided Ubuntu GPU driver
-readonly NVIDIA_UBUNTU_REPOSITORY_URL="${NVIDIA_BASE_DL_URL}/cuda/repos/ubuntu1804/x86_64"
-readonly NVIDIA_UBUNTU_REPOSITORY_KEY="${NVIDIA_UBUNTU_REPOSITORY_URL}/7fa2af80.pub"
-readonly NVIDIA_UBUNTU_REPOSITORY_CUDA_PIN="${NVIDIA_UBUNTU_REPOSITORY_URL}/cuda-ubuntu1804.pin"
+readonly NVIDIA_UBUNTU_REPO_URL="${NVIDIA_BASE_DL_URL}/cuda/repos/ubuntu1804/x86_64"
+readonly NVIDIA_UBUNTU_REPO_KEY_PACKAGE="${NVIDIA_UBUNTU_REPO_URL}/cuda-keyring_1.0-1_all.deb"
+readonly NVIDIA_UBUNTU_REPO_CUDA_PIN="${NVIDIA_UBUNTU_REPO_URL}/cuda-ubuntu1804.pin"
 # Dataproc configurations
 readonly HADOOP_CONF_DIR='/etc/hadoop/conf'
 readonly HIVE_CONF_DIR='/etc/hive/conf'
@@ -61,11 +61,13 @@ function install_nvidia_gpu_driver() {
   execute_with_retries "apt-get install -y -q 'linux-headers-$(uname -r)'"
 
   curl -fsSL --retry-connrefused --retry 10 --retry-max-time 30 \
-    "${NVIDIA_UBUNTU_REPOSITORY_KEY}" | apt-key add -
+    "${NVIDIA_UBUNTU_REPO_KEY_PACKAGE}" -o /tmp/cuda-keyring.deb
+  dpkg -i "/tmp/cuda-keyring.deb"
+
   curl -fsSL --retry-connrefused --retry 10 --retry-max-time 30 \
-    "${NVIDIA_UBUNTU_REPOSITORY_CUDA_PIN}" -o /etc/apt/preferences.d/cuda-repository-pin-600
+    "${NVIDIA_UBUNTU_REPO_CUDA_PIN}" -o /etc/apt/preferences.d/cuda-repository-pin-600
 
-  add-apt-repository "deb ${NVIDIA_UBUNTU_REPOSITORY_URL} /"
+  add-apt-repository "deb ${NVIDIA_UBUNTU_REPO_URL} /"
   execute_with_retries "apt-get update"
 
   if [[ -n "${CUDA_VERSION}" ]]; then