Install full CUDA toolkit in final NVIDIA images (sm70, sm100)

The final container stage only installed cuda-libraries (runtime),
which excluded nvcc and headers. Downstream builds of SELF failed
with FindCUDAToolkit unable to locate nvcc. Switch to cuda-toolkit
so the images support both compilation and execution.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: fluidnumericsJoe

envs/x86/sm100/Dockerfile

@@ -155,15 +155,14 @@ RUN dnf update -y \
         gcc-gfortran \
         lcov
 
-# Install CUDA runtime libraries
+# Install CUDA toolkit (nvcc + libraries) so downstream projects can compile against CUDA
 ARG CUDA_VERSION=13.0
 RUN dnf config-manager \
         --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel9/x86_64/cuda-rhel9.repo \
  && dnf clean all \
  && dnf update -y \
  && dnf install -y \
-        cuda-libraries-$(echo ${CUDA_VERSION} | tr '.' '-') \
-        cuda-nvtx-$(echo ${CUDA_VERSION} | tr '.' '-')
+        cuda-toolkit-$(echo ${CUDA_VERSION} | tr '.' '-')
 
 # paths.view is a symlink, so copy the parent to avoid dereferencing and duplicating it
 COPY --from=builder /opt/views /opt/views

envs/x86/sm70/Dockerfile

@@ -155,15 +155,14 @@ RUN dnf update -y \
         gcc-gfortran \
         lcov
 
-# Install CUDA runtime libraries
+# Install CUDA toolkit (nvcc + libraries) so downstream projects can compile against CUDA
 ARG CUDA_VERSION=12.4
 RUN dnf config-manager \
         --add-repo https://developer.download.nvidia.com/compute/cuda/repos/rhel9/x86_64/cuda-rhel9.repo \
  && dnf clean all \
  && dnf update -y \
  && dnf install -y \
-        cuda-libraries-$(echo ${CUDA_VERSION} | tr '.' '-') \
-        cuda-nvtx-$(echo ${CUDA_VERSION} | tr '.' '-')
+        cuda-toolkit-$(echo ${CUDA_VERSION} | tr '.' '-')
 
 # paths.view is a symlink, so copy the parent to avoid dereferencing and duplicating it
 COPY --from=builder /opt/views /opt/views