Use rhel8 repo for CUDA

Author: hcho3

containers/dockerfile/Dockerfile.gpu_build_cuda13_rockylinux8

@@ -16,7 +16,7 @@ ENV GOSU_VERSION=1.10
 
 # Install all basic requirements
 RUN \
-    curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/D42D0685.pub | sed '/^Version/d' \
+    curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/D42D0685.pub | sed '/^Version/d' \
         > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && \
     dnf -y update && \
     dnf -y install dnf-plugins-core && \

containers/dockerfile/Dockerfile.gpu_build_r_rockylinux8

@@ -18,7 +18,7 @@ ENV GOSU_VERSION=1.10
 
 # Install all basic requirements
 RUN \
-    curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/D42D0685.pub | sed '/^Version/d' \
+    curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/D42D0685.pub | sed '/^Version/d' \
         > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && \
     dnf -y update && \
     dnf -y install dnf-plugins-core && \

containers/dockerfile/Dockerfile.gpu_build_rockylinux8

@@ -17,7 +17,7 @@ ENV GOSU_VERSION=1.10
 
 # Install all basic requirements
 RUN \
-    curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/D42D0685.pub | sed '/^Version/d' \
+    curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/D42D0685.pub | sed '/^Version/d' \
         > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && \
     dnf -y update && \
     dnf -y install dnf-plugins-core && \
@@ -34,7 +34,7 @@ RUN \
 # NCCL2 (License: https://docs.nvidia.com/deeplearning/sdk/nccl-sla/index.html)
 RUN \
     export NCCL_VERSION=$NCCL_VERSION && \
-    dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-rhel7.repo && \
+    dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/cuda-rhel8.repo && \
     dnf -y update && \
     dnf install -y libnccl-${NCCL_VERSION}+cuda12.9 libnccl-devel-${NCCL_VERSION}+cuda12.9
 

containers/dockerfile/Dockerfile.jvm_gpu_build

@@ -36,7 +36,7 @@ RUN \
 # NCCL2 (License: https://docs.nvidia.com/deeplearning/sdk/nccl-sla/index.html)
 RUN \
     export NCCL_VERSION=$NCCL_VERSION && \
-    dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/cuda-rhel7.repo && \
+    dnf config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel8/x86_64/cuda-rhel8.repo && \
     dnf -y update && \
     dnf install -y libnccl-${NCCL_VERSION}+cuda12.9 libnccl-devel-${NCCL_VERSION}+cuda12.9 libnccl-static-${NCCL_VERSION}+cuda12.9