Merge pull request #60 from rgsl888prabhu/branch-25.08-merge-25.05

Branch 25.08 merge 25.05

Author: raydouglass

.github/workflows/build.yaml

@@ -41,7 +41,7 @@ jobs:
     secrets: inherit
     uses: rapidsai/shared-workflows/.github/workflows/[email protected]
     with:
-      matrix_filter: map(select((.CUDA_VER | startswith("12")) and .PY_VER == "3.12"))
+      matrix_filter: map(select((.CUDA_VER | startswith("12")) and .PY_VER != "3.13"))
       build_type: ${{ inputs.build_type || 'branch' }}
       branch: ${{ inputs.branch }}
       date: ${{ inputs.date }}

README.md

@@ -5,7 +5,7 @@
 NVIDIA® cuOpt™ is a GPU-accelerated optimization engine that excels in mixed integer linear programming (MILP), linear programming (LP), and vehicle routing problems (VRP). It enables near real-time solutions for large-scale challenges with millions of variables and constraints, offering 
 easy integration into existing solvers and seamless deployment across hybrid and multi-cloud environments.
 
-Core engine is written in C++ which is wrapped into C API, Python API and Server API.
+The core engine is written in C++ and wrapped with a C API, Python API and Server API.
 
 For the latest stable version ensure you are on the `main` branch.
 
@@ -60,7 +60,7 @@ 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==25.5 cuopt-sh-client==25.5 nvidia-cuda-runtime-cu12==12.8.*
+pip install --extra-index-url=https://pypi.nvidia.com cuopt-server-cu12==25.5.* cuopt-sh-client==25.5.* nvidia-cuda-runtime-cu12==12.8.*
 ```
 
 ### Conda
@@ -106,4 +106,4 @@ Review the [CONTRIBUTING.md](CONTRIBUTING.md) file for information on how to con
 - [cuopt (Server) documentation](https://docs.nvidia.com/cuopt/user-guide/latest/cuopt-server/index.html)
 - [Examples and Notebooks](https://github.com/NVIDIA/cuopt-examples)
 - [Test cuopt with NVIDIA Launchable](https://brev.nvidia.com/launchable/deploy?launchableID=env-2qIG6yjGKDtdMSjXHcuZX12mDNJ): Examples notebooks are pulled and hosted on [NVIDIA Launchable](https://docs.nvidia.com/brev/latest/).
-- [Test cuopt on Google Colab](https://colab.research.google.com/github/nvidia/cuopt-examples/): Examples notebooks can be opened in Google Colab. Please note that you need to choose a `Runtime` as `GPU` in order to run the notebooks.
+- [Test cuopt on Google Colab](https://colab.research.google.com/github/nvidia/cuopt-examples/): Examples notebooks can be opened in Google Colab. Please note that you need to choose a `Runtime` as `GPU` in order to run the notebooks.

conda/recipes/cuopt-server/recipe.yaml

@@ -40,9 +40,6 @@ requirements:
     - pandas>=2
     - python
     - uvicorn ${{ uvicorn_version }}
-  ignore_run_exports:
-    by_name:
-      - python_abi
 
 tests:
   - python:

conda/recipes/cuopt-sh-client/recipe.yaml

@@ -31,9 +31,6 @@ requirements:
     - msgpack-python =1.0.8
     - python
     - requests
-  ignore_run_exports:
-    by_name:
-      - python_abi
 
 tests:
   - python:

docs/cuopt/source/conf.py

@@ -106,7 +106,7 @@
 master_doc = "index"
 
 # General information about the project.
-project = "cuopt"
+project = "NVIDIA cuOpt"
 copyright = f"2021-{datetime.datetime.today().year}, NVIDIA Corporation"
 author = "NVIDIA Corporation"
 

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==25.5.* nvidia-cuda-runtime-cu12==12.8.0
+    pip install --extra-index-url=https://pypi.nvidia.com libcuopt-cu12==25.5.* nvidia-cuda-runtime-cu12==12.8.*
 
 
 Conda

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

@@ -37,7 +37,7 @@ NVIDIA cuOpt is also available as a container from Docker Hub:
 
 .. code-block:: bash
 
-    docker pull nvidia/cuopt:25.5.0
+    docker pull nvidia/cuopt:25.5.0-cuda12.8-py312
 
 The container includes both the Python API and self-hosted server components. To run the container:
 

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==25.05.* cuopt-sh-client==25.05.* nvidia-cuda-runtime-cu12==12.8.*
+    pip install --extra-index-url=https://pypi.nvidia.com cuopt-server-cu12==25.5.* cuopt-sh-client==25.5.* nvidia-cuda-runtime-cu12==12.8.*
 
 
 Conda
@@ -227,4 +227,4 @@ Example Response:
             "total_solve_time": 0.10999655723571777
         },
         "reqId": "afea72c2-6c76-45ce-bcf7-0d55049f32e4"
-    }    
+    }    

docs/cuopt/source/faq.rst

@@ -13,7 +13,7 @@ General FAQ
 
 .. dropdown:: How to get a NVAIE license?
 
-    Please refer to `NVIDIA NVAIE <https://www.nvidia.com/en-us/technologies/ai-enterprise/nvaie/>`_ for more information.
+    Please refer to `NVIDIA NVAIE <https://www.nvidia.com/en-us/data-center/products/ai-enterprise/>`_ for more information.
 
 .. dropdown:: How to access NGC registry?
 

python/cuopt_self_hosted/pyproject.toml

@@ -28,7 +28,7 @@ readme = { file = "README.md", content-type = "text/markdown" }
 authors = [
     { name = "NVIDIA Corporation" },
 ]
-license = "Apache-2.0"
+license = { text = "Apache-2.0" }
 requires-python = ">=3.10"
 dependencies = [
     "cuopt-mps-parser==25.5.*,>=0.0.0a0",