Pull nightly cuopt wheels in build workflows

.github/workflows/main-arm64.yml

@@ -23,14 +23,18 @@ jobs:
           apt-get update && apt-get install -y patchelf curl unzip zip gcc
           pip install uv
 
-      # Get CUDA runtimes via pip
+      # Get CUDA runtimes via pip (nightly wheels, needed for pre-release multi-GPU PDLP support)
       - name: Set up python virtual environments with NVIDIA dependencies for CUDA 12 and CUDA 13 (respectively)
         run: |
           mkdir -p venvs
           uv venv venvs/cu12
-          uv pip install --python venvs/cu12 --extra-index-url=https://pypi.nvidia.com 'cuopt-cu12==26.8.*' -qq
+          uv pip install --python venvs/cu12 --pre \
+            --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
+            'cuopt-cu12==26.10.*,>=0.0.0a0' -qq
           uv venv venvs/cu13
-          uv pip install --python venvs/cu13 --extra-index-url=https://pypi.nvidia.com 'cuopt-cu13==26.8.*' -qq
+          uv pip install --python venvs/cu13 --pre \
+            --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
+            'cuopt-cu13==26.10.*,>=0.0.0a0' -qq
 
       # Get GAMS (ARM64 version)
       - name: Download and extract latest GAMS distribution

.github/workflows/main-x86_64.yml

@@ -23,14 +23,18 @@ jobs:
           apt-get update && apt-get install -y patchelf curl unzip zip gcc
           pip install uv
 
-      # Get CUDA runtimes via pip
+      # Get CUDA runtimes via pip (nightly wheels, needed for pre-release multi-GPU PDLP support)
       - name: Set up python virtual environments with NVIDIA dependencies for CUDA 12 and CUDA 13 (respectively)
         run: |
           mkdir -p venvs
           uv venv venvs/cu12
-          uv pip install --python venvs/cu12 --extra-index-url=https://pypi.nvidia.com 'cuopt-cu12==26.8.*' -qq
+          uv pip install --python venvs/cu12 --pre \
+            --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
+            'cuopt-cu12==26.10.*,>=0.0.0a0' -qq
           uv venv venvs/cu13
-          uv pip install --python venvs/cu13 --extra-index-url=https://pypi.nvidia.com 'cuopt-cu13==26.8.*' -qq
+          uv pip install --python venvs/cu13 --pre \
+            --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ \
+            'cuopt-cu13==26.10.*,>=0.0.0a0' -qq
 
       # Get GAMS
       - name: Download and extract latest GAMS distribution

assets/optcuopt.def

@@ -3,7 +3,7 @@
 *
 * name type usermap default low high visible group
 num_cpu_threads integer 0 -1 -1 maxint 1 1 Controls the number of CPU threads used in the LP and MIP solvers (default GAMS Threads)
-num_gpus integer 0 1 1 2 1 2 Controls the number of GPUs to use for the solve. This setting is only relevant for LP problems that uses concurrent mode and supports up to 2 GPUs at the moment. Using this mode will run PDLP and barrier in parallel on different GPUs to avoid sharing single GPU resources.
+num_gpus integer 0 1 1 72 1 2 Controls the number of GPUs to use for the solve. This setting is only relevant for LP problems that use concurrent mode. Any value greater than 1 runs PDLP and barrier in parallel on two separate GPUs to avoid sharing single-GPU resources; cuOpt currently only ever engages exactly 2 GPUs this way, so values above 2 are accepted but have no further effect.
 presolve enumint 0 -1 1 1 Controls which presolver (if any) to use for presolve reductions.
  -1 1 default (Papilo for MIP, PSLP for LP)
   0 1 off (disable presolve)