Doc update for container version update and add nvidia-cuda-runtime as dependency

README.md

@@ -73,7 +73,6 @@ Development wheels are available as nightlies, please update `--extra-index-url`
 pip install --pre \
   --extra-index-url=https://pypi.nvidia.com \
   --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
-  nvidia-cuda-runtime-cu12=12.9.* \
   cuopt-server-cu12==25.10.* cuopt-sh-client==25.10.*
 ```
 
@@ -82,7 +81,6 @@ For CUDA 13.x:
 ```bash
 pip install \
   --extra-index-url=https://pypi.nvidia.com \
-  nvidia-cuda-runtime==13.0.* \
   cuopt-server-cu13==25.10.* cuopt-sh-client==25.10.*
 ```
 
@@ -91,7 +89,6 @@ Development wheels are available as nightlies, please update `--extra-index-url`
 pip install --pre \
   --extra-index-url=https://pypi.nvidia.com \
   --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
-  nvidia-cuda-runtime==13.0.* \
   cuopt-server-cu13==25.10.* cuopt-sh-client==25.10.*
 ```
 
@@ -115,13 +112,13 @@ Users can pull the cuOpt container from the NVIDIA container registry.
 
 ```bash
 # For CUDA 12.x
-docker pull nvidia/cuopt:latest-cuda12.9-py312
+docker pull nvidia/cuopt:latest-cuda12.9-py3.13
 
 # For CUDA 13.x
-docker pull nvidia/cuopt:latest-cuda13.0-py312
+docker pull nvidia/cuopt:latest-cuda13.0-py3.13
 ```
 
-Note: The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.9-py312`` or ``<version>-cuda13.0-py312`` tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.8-py312`` or ``25.5.0-cuda13.0-py312`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt>`_ for the list of available tags.
+Note: The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.9-py3.13`` or ``<version>-cuda13.0-py3.13`` tag. For example, to use cuOpt 25.10.0, you can use the ``25.10.0-cuda12.9-py3.13`` or ``25.10.0-cuda13.0-py3.13`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt/tags>`_ for the list of available tags.
 
 More information about the cuOpt container can be found [here](https://docs.nvidia.com/cuopt/user-guide/latest/cuopt-server/quick-start.html#container-from-docker-hub).
 

ci/docker/Dockerfile

@@ -62,9 +62,7 @@ RUN \
       --extra-index-url https://pypi.anaconda.org/rapidsai-wheels-nightly/simple \
       --no-cache-dir \
       "cuopt-server-${cuda_suffix}==${CUOPT_VER}" \
-      "cuopt-sh-client==${CUOPT_VER}" \
-      "cuda-toolkit[cudart]==${cuda_major_minor}.*" \
-      ${nvidia_cuda_runtime_pkg} && \
+      "cuopt-sh-client==${CUOPT_VER}" && \
     python -m pip list
 
 # Remove gcc to save space, gcc was required for building psutils

dependencies.yaml

@@ -750,12 +750,12 @@ dependencies:
               cuda: "12.*"
               use_cuda_wheels: "true"
             packages:
-              - cuda-toolkit[cublas,curand,cusolver,cusparse,nvtx]==12.*
+              - cuda-toolkit[cublas,cudart,curand,cusolver,cusparse,nvtx]==12.*
           - matrix:
               cuda: "13.*"
               use_cuda_wheels: "true"
             packages:
-              - cuda-toolkit[cublas,curand,cusolver,cusparse,nvtx]==13.*
+              - cuda-toolkit[cublas,cudart,curand,cusolver,cusparse,nvtx]==13.*
           # if use_cuda_wheels=false is provided, do not add dependencies on any CUDA wheels
           # (e.g. for DLFW and pip devcontainers)
           - matrix:
@@ -765,6 +765,7 @@ dependencies:
           # (just as a source of documentation, as this populates pyproject.toml in source control)
           - matrix:
             packages:
+              - nvidia-cudart
               - nvidia-cublas
               - nvidia-curand
               - nvidia-cusparse

docs/cuopt/source/cuopt-c/quick-start.rst

@@ -19,14 +19,10 @@ This wheel is a Python wrapper around the C++ library and eases installation and
     pip uninstall cuopt-thin-client
 
     # CUDA 13
-    pip install --extra-index-url=https://pypi.nvidia.com \
-      'nvidia-cuda-runtime==13.0.*' \
-      'libcuopt-cu13==25.10.*'
+    pip install --extra-index-url=https://pypi.nvidia.com 'libcuopt-cu13==25.10.*'
 
     # CUDA 12
-    pip install --extra-index-url=https://pypi.nvidia.com \
-      'nvidia-cuda-runtime-cu12==12.9.*' \
-      'libcuopt-cu12==25.10.*'
+    pip install --extra-index-url=https://pypi.nvidia.com 'libcuopt-cu12==25.10.*'
 
 
 .. note::
@@ -36,12 +32,10 @@ This wheel is a Python wrapper around the C++ library and eases installation and
 
     # CUDA 13
     pip install --pre --extra-index-url=https://pypi.nvidia.com --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
-      'nvidia-cuda-runtime==13.0.*' \
       'libcuopt-cu13==25.10.*'
 
     # CUDA 12
     pip install --pre --extra-index-url=https://pypi.nvidia.com --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
-      'nvidia-cuda-runtime-cu12==12.9.*' \
       'libcuopt-cu12==25.10.*'
 
 Conda

docs/cuopt/source/cuopt-python/quick-start.rst

@@ -13,14 +13,10 @@ pip
 .. code-block:: bash
 
     # CUDA 13
-    pip install --extra-index-url=https://pypi.nvidia.com \
-      'nvidia-cuda-runtime==13.0.*' \
-      'cuopt-cu13==25.10.*'
+    pip install --extra-index-url=https://pypi.nvidia.com 'cuopt-cu13==25.10.*'
 
     # CUDA 12
-    pip install --extra-index-url=https://pypi.nvidia.com \
-      'nvidia-cuda-runtime-cu12==12.9.*' \
-      'cuopt-cu12==25.10.*'
+    pip install --extra-index-url=https://pypi.nvidia.com 'cuopt-cu12==25.10.*'
 
 
 .. note::
@@ -30,12 +26,10 @@ pip
 
     # CUDA 13
     pip install --pre --extra-index-url=https://pypi.nvidia.com --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
-      'nvidia-cuda-runtime==13.0.*' \
       'cuopt-cu13==25.10.*'
 
     # CUDA 12
     pip install --pre --extra-index-url=https://pypi.nvidia.com --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
-      'nvidia-cuda-runtime-cu12==12.9.*' \
       'cuopt-cu12==25.10.*'
 
 
@@ -63,19 +57,19 @@ NVIDIA cuOpt is also available as a container from Docker Hub:
 
 .. code-block:: bash
 
-    docker pull nvidia/cuopt:latest-cuda12.9-py3.12
+    docker pull nvidia/cuopt:latest-cuda12.9-py3.13
 
 .. note::
-   The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.9-py3.12`` tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.9-py3.12`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt>`_ for the list of available tags.
+   The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.9-py3.13`` tag. For example, to use cuOpt 25.10.0, you can use the ``25.10.0-cuda12.9-py3.13`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt/tags>`_ for the list of available tags.
 
 .. note::
-   The nightly version of cuOpt is available as ``[VERSION]a-cuda12.9-py3.12`` tag. For example, to use cuOpt 25.8.0a, you can use the ``25.8.0a-cuda12.9-py3.12`` tag.
+   The nightly version of cuOpt is available as ``[VERSION]a-cuda12.9-py3.13`` tag. For example, to use cuOpt 25.10.0a, you can use the ``25.10.0a-cuda12.9-py3.13`` tag. Also the cuda version and python version might change in the future. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt/tags>`_ for the list of available tags.
 
 The container includes both the Python API and self-hosted server components. To run the container:
 
 .. code-block:: bash
 
-    docker run --gpus all -it --rm nvidia/cuopt:latest-cuda12.9-py3.12 /bin/bash
+    docker run --gpus all -it --rm nvidia/cuopt:latest-cuda12.9-py3.13 /bin/bash
 
 This will start an interactive session with cuOpt pre-installed and ready to use.
 

docs/cuopt/source/cuopt-server/quick-start.rst

@@ -29,13 +29,11 @@ pip
 
     # CUDA 13
     pip install --pre --extra-index-url=https://pypi.nvidia.com --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
-      'nvidia-cuda-runtime==13.0.*' \
       'cuopt-server-cu13==25.10.*' \
       'cuopt-sh-client==25.10.*'
 
     # CUDA 12
     pip install --pre --extra-index-url=https://pypi.nvidia.com --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
-      'nvidia-cuda-runtime-cu12==12.9.*' \
       'cuopt-server-cu12==25.10.*' \
       'cuopt-sh-client==25.10.*'
 
@@ -59,19 +57,19 @@ NVIDIA cuOpt is also available as a container from Docker Hub:
 
 .. code-block:: bash
 
-    docker pull nvidia/cuopt:latest-cuda12.9-py3.12
+    docker pull nvidia/cuopt:latest-cuda12.9-py3.13
 
 .. note::
-   The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.9-py3.12`` tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.9-py3.12`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt>`_ for the list of available tags.
+   The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.9-py3.13`` tag. For example, to use cuOpt 25.10.0, you can use the ``25.10.0-cuda12.9-py3.13`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt/tags>`_ for the list of available tags.
 
 The container includes both the Python API and self-hosted server components. To run the container:
 
 .. code-block:: bash
 
-    docker run --gpus all -it --rm -p 8000:8000 -e CUOPT_SERVER_PORT=8000 nvidia/cuopt:latest-cuda12.9-py3.12
+    docker run --gpus all -it --rm -p 8000:8000 -e CUOPT_SERVER_PORT=8000 nvidia/cuopt:latest-cuda12.9-py3.13
 
 .. note::
-   The nightly version of cuOpt is available as ``[VERSION]a-cuda12.9-py3.12`` tag. For example, to use cuOpt 25.8.0a, you can use the ``25.8.0a-cuda12.9-py3.12`` tag.
+   The nightly version of cuOpt is available as ``[VERSION]a-cuda12.9-py3.13`` tag. For example, to use cuOpt 25.10.0a, you can use the ``25.10.0a-cuda12.9-py3.13`` tag. Also the cuda version and python version might change in the future. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt/tags>`_ for the list of available tags.
 
 .. note::
    Make sure you have the NVIDIA Container Toolkit installed on your system to enable GPU support in containers. See the `installation guide <https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html>`_ for details.

python/libcuopt/pyproject.toml

@@ -46,6 +46,7 @@ dependencies = [
     "cuopt-mps-parser==25.10.*,>=0.0.0a0",
     "librmm==25.10.*,>=0.0.0a0",
     "nvidia-cublas",
+    "nvidia-cudart",
     "nvidia-curand",
     "nvidia-cusolver",
     "nvidia-cusparse",