Support cuda 12.9

.github/workflows/build_test_publish_images.yaml

@@ -32,7 +32,7 @@ on:
         description: 'JSON array of architectures to build for'
       cuda_ver:
         type: string
-        default: '["12.8.0"]'
+        default: '["12.9.0"]'
         description: 'JSON array of CUDA versions to build for'
       python_ver:
         type: string

.github/workflows/self_hosted_service_test.yaml

@@ -59,7 +59,7 @@ jobs:
     runs-on: linux-amd64-gpu-l4-latest-1
     strategy:
       matrix:
-        ctk: ["12.8.0"]
+        ctk: ["12.9.0"]
         linux_ver: ["ubuntu24.04"]
         py_ver: ["3.12"]
     container:

CONTRIBUTING.md

@@ -70,7 +70,7 @@ library features. The following instructions are for building with a conda envir
 
 CUDA/GPU Runtime:
 
-* CUDA 12.8
+* CUDA 12.9
 * Volta architecture or better ([Compute Capability](https://docs.nvidia.com/deploy/cuda-compatibility/) >=7.0)
 
 Python:

README.md

@@ -62,7 +62,7 @@ on the major version of CUDA available in your environment:
 For CUDA 12.x:
 
 ```bash
-pip install --extra-index-url=https://pypi.nvidia.com cuopt-server-cu12==25.10.* cuopt-sh-client==25.10.* nvidia-cuda-runtime-cu12==12.8.*
+pip install --extra-index-url=https://pypi.nvidia.com cuopt-server-cu12==25.10.* cuopt-sh-client==25.10.* nvidia-cuda-runtime-cu12==12.9.*
 ```
 
 Development wheels are available as nightlies, please update `--extra-index-url` to `https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/` to install latest nightly packages.
@@ -85,10 +85,10 @@ of our latest development branch. Just replace `-c rapidsai` with `-c rapidsai-n
 Users can pull the cuOpt container from the NVIDIA container registry.
 
 ```bash
-docker pull nvidia/cuopt:latest-cuda12.8-py312
+docker pull nvidia/cuopt:latest-cuda12.9-py312
 ```
 
-Note: The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.8-py312`` tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.8-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-py312`` tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.8-py312`` tag. Please refer to `cuOpt dockerhub page <https://hub.docker.com/r/nvidia/cuopt>`_ 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/release/update-version.sh

@@ -112,7 +112,7 @@ sed_runner "/^set(cuopt_version/ s/[0-9][0-9].[0-9][0-9].[0-9][0-9]/${NEXT_FULL_
 sed_runner 's/'"cuopt_version: \"[0-9][0-9].[0-9][0-9]\""'/'"cuopt_version: \"${NEXT_SHORT_TAG}\""'/g' .github/workflows/nightly.yaml
 
 # Update Helm chart files
-sed_runner 's/\(tag: "\)[0-9][0-9]\.[0-9]\+\.[0-9]\+\(-cuda12\.8-py3\.12"\)/\1'${DOCKER_TAG}'\2/g' helmchart/cuopt-server/values.yaml
+sed_runner 's/\(tag: "\)[0-9][0-9]\.[0-9]\+\.[0-9]\+\(-cuda12\.9-py3\.12"\)/\1'${DOCKER_TAG}'\2/g' helmchart/cuopt-server/values.yaml
 sed_runner 's/\(appVersion: \)[0-9][0-9]\.[0-9]\+\.[0-9]\+/\1'${DOCKER_TAG}'/g' helmchart/cuopt-server/Chart.yaml
 sed_runner 's/\(version: \)[0-9][0-9]\.[0-9]\+\.[0-9]\+/\1'${DOCKER_TAG}'/g' helmchart/cuopt-server/Chart.yaml
 

conda/environments/all_cuda-128_arch-aarch64.yaml → conda/environments/all_cuda-129_arch-aarch64.yaml

@@ -18,7 +18,7 @@ dependencies:
 - cuda-nvtx-dev
 - cuda-nvvm
 - cuda-sanitizer-api
-- cuda-version=12.8
+- cuda-version=12.9
 - cudf==25.10.*,>=0.0.0a0
 - cupy>=12.0.0
 - cuvs==25.10.*,>=0.0.0a0
@@ -85,4 +85,4 @@ dependencies:
   - nvidia_sphinx_theme
   - swagger-plugin-for-sphinx
   - veroviz
-name: all_cuda-128_arch-aarch64
+name: all_cuda-129_arch-aarch64

conda/environments/all_cuda-128_arch-x86_64.yaml → conda/environments/all_cuda-129_arch-x86_64.yaml

@@ -18,7 +18,7 @@ dependencies:
 - cuda-nvtx-dev
 - cuda-nvvm
 - cuda-sanitizer-api
-- cuda-version=12.8
+- cuda-version=12.9
 - cudf==25.10.*,>=0.0.0a0
 - cupy>=12.0.0
 - cuvs==25.10.*,>=0.0.0a0
@@ -85,4 +85,4 @@ dependencies:
   - nvidia_sphinx_theme
   - swagger-plugin-for-sphinx
   - veroviz
-name: all_cuda-128_arch-x86_64
+name: all_cuda-129_arch-x86_64

cpp/CMakeLists.txt

@@ -104,7 +104,7 @@ message("-- Building for GPU_ARCHS = ${CMAKE_CUDA_ARCHITECTURES}")
 
 # make the flags global in order to propagate flags to test cmake files
 set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --expt-relaxed-constexpr --expt-extended-lambda")
-if(${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER_EQUAL 12.8 AND CMAKE_CUDA_COMPILER_VERSION VERSION_LESS 13.0)
+if(${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER_EQUAL 12.9 AND CMAKE_CUDA_COMPILER_VERSION VERSION_LESS 13.0)
   set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -static-global-template-stub=false")
 endif()
 list(APPEND CUOPT_CUDA_FLAGS -Werror=cross-execution-space-call -Wno-deprecated-declarations -Xcompiler=-Werror)

dependencies.yaml

@@ -19,7 +19,7 @@ files:
   all:
     output: conda
     matrix:
-      cuda: ["12.8"]
+      cuda: ["12.9"]
       arch: [x86_64, aarch64]
     includes:
       - build_common

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

@@ -20,7 +20,7 @@ This wheel is a Python wrapper around the C++ library and eases installation and
 
     # This is a deprecated module and no longer used, but it shares the same name for the CLI, so we need to uninstall it first if it exists.
     pip uninstall cuopt-thin-client
-    pip install --extra-index-url=https://pypi.nvidia.com libcuopt-cu12==25.10.* nvidia-cuda-runtime-cu12==12.8.*
+    pip install --extra-index-url=https://pypi.nvidia.com libcuopt-cu12==25.10.* nvidia-cuda-runtime-cu12==12.9.*
 
 
 Conda

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

@@ -14,7 +14,7 @@ For CUDA 12.x:
 
 .. code-block:: bash
 
-    pip install --extra-index-url=https://pypi.nvidia.com cuopt-cu12==25.10.* nvidia-cuda-runtime-cu12==12.8.*
+    pip install --extra-index-url=https://pypi.nvidia.com cuopt-cu12==25.10.* nvidia-cuda-runtime-cu12==12.9.*
 
 
 .. note::
@@ -41,19 +41,19 @@ NVIDIA cuOpt is also available as a container from Docker Hub:
 
 .. code-block:: bash
 
-    docker pull nvidia/cuopt:latest-cuda12.8-py3.12
+    docker pull nvidia/cuopt:latest-cuda12.9-py3.12
 
 .. note::
-   The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.8-py3.12`` tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.8-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-py3.12`` 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.
 
 .. note::
-   The nightly version of cuOpt is available as ``[VERSION]a-cuda12.8-py3.12`` tag. For example, to use cuOpt 25.8.0a, you can use the ``25.8.0a-cuda12.8-py3.12`` tag.
+   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 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-cuda12.8-py3.12 /bin/bash
+    docker run --gpus all -it --rm nvidia/cuopt:latest-cuda12.9-py3.12 /bin/bash
 
 This will start an interactive session with cuOpt pre-installed and ready to use.
 

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

@@ -12,7 +12,7 @@ For CUDA 12.x:
 
 .. code-block:: bash
 
-    pip install --extra-index-url=https://pypi.nvidia.com cuopt-server-cu12==25.10.* cuopt-sh-client==25.10.* nvidia-cuda-runtime-cu12==12.8.*
+    pip install --extra-index-url=https://pypi.nvidia.com cuopt-server-cu12==25.10.* cuopt-sh-client==25.10.* nvidia-cuda-runtime-cu12==12.9.*
 
 .. note::
    For development wheels which are available as nightlies, please update `--extra-index-url` to `https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/`.
@@ -37,19 +37,19 @@ NVIDIA cuOpt is also available as a container from Docker Hub:
 
 .. code-block:: bash
 
-    docker pull nvidia/cuopt:latest-cuda12.8-py3.12
+    docker pull nvidia/cuopt:latest-cuda12.9-py3.12
 
 .. note::
-   The ``latest`` tag is the latest stable release of cuOpt. If you want to use a specific version, you can use the ``<version>-cuda12.8-py3.12`` tag. For example, to use cuOpt 25.5.0, you can use the ``25.5.0-cuda12.8-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-py3.12`` 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 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-cuda12.8-py3.12
+    docker run --gpus all -it --rm -p 8000:8000 -e CUOPT_SERVER_PORT=8000 nvidia/cuopt:latest-cuda12.9-py3.12
 
 .. note::
-   The nightly version of cuOpt is available as ``[VERSION]a-cuda12.8-py3.12`` tag. For example, to use cuOpt 25.8.0a, you can use the ``25.8.0a-cuda12.8-py3.12`` tag.
+   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.
 
 .. 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.

docs/cuopt/source/system-requirements.rst

@@ -46,7 +46,7 @@ Dependencies are installed automatically when using the pip and Conda installati
       - CUDA 12.0 with Driver 525.60.13+
       - CUDA 12.2 with Driver 535.86.10+
       - CUDA 12.5 with Driver 555.42.06+
-      - CUDA 12.8 with Driver 570.42.01+
+      - CUDA 12.9 with Driver 570.42.01+
 
 .. dropdown:: Recommended Requirements for Best Performance
 
@@ -67,7 +67,7 @@ Dependencies are installed automatically when using the pip and Conda installati
       - 100+ GB free space
 
    * CUDA:
-      - 12.8
+      - 12.9
 
    * Latest NVIDIA drivers (570.42.01+)
 

helmchart/cuopt-server/values.yaml

@@ -7,7 +7,7 @@ replicaCount: 1
 image:
   repository: nvidia/cuopt
   pullPolicy: IfNotPresent
-  tag: "25.10.0-cuda12.8-py3.12"
+  tag: "25.10.0-cuda12.9-py3.12"
 
 imagePullSecrets: []
 nameOverride: ""