Finish CUDA 12.9 migration and use branch-25.06 workflows

Author: bdice

docs/cugraph-docs/source/graph_support/DGL_support.md

@@ -17,7 +17,7 @@ mamba install cugraph-dgl -c rapidsai-nightly -c rapidsai -c pytorch -c conda-fo
 
 ### Create the conda development environment
 ```
-conda env create -n cugraph_dgl_dev --file conda/environments/all_cuda-129_arch-x86_64.yaml
+conda env create -n cugraph_dgl_dev --file conda/environments/all_cuda-128_arch-x86_64.yaml
 ```
 
 ### Install  in editable mode

docs/cugraph-docs/source/installation/getting_cugraph.md

@@ -40,7 +40,7 @@ Replace the package name in the example below to the one you want to install.
 Install and update cuGraph using the conda command:
 
 ```bash
-conda install -c rapidsai -c conda-forge -c nvidia cugraph cuda-version=12.9
+conda install -c rapidsai -c conda-forge -c nvidia cugraph cuda-version=12.8
 ```
 
 Alternatively, use `cuda-version=11.8` for packages supporting CUDA 11.

docs/cugraph-docs/source/installation/source_build.md

@@ -42,7 +42,7 @@ files](https://github.com/rapidsai/cugraph/blob/main/conda/environments).
 conda env create --name cugraph_dev --file $CUGRAPH_HOME/conda/environments/all_cuda-118_arch-x86_64.yaml
 
 # for CUDA 12.x
-conda env create --name cugraph_dev --file $CUGRAPH_HOME/conda/environments/all_cuda-129_arch-x86_64.yaml
+conda env create --name cugraph_dev --file $CUGRAPH_HOME/conda/environments/all_cuda-128_arch-x86_64.yaml
 
 
 # activate the environment
@@ -60,7 +60,7 @@ conda env update --name cugraph_dev --file $CUGRAPH_HOME/conda/environments/all_
 conda activate cugraph_dev
 
 # for CUDA 12.x
-conda env update --name cugraph_dev --file $CUGRAPH_HOME/conda/environments/all_cuda-129_arch-x86_64.yaml
+conda env update --name cugraph_dev --file $CUGRAPH_HOME/conda/environments/all_cuda-128_arch-x86_64.yaml
 conda activate cugraph_dev