Merge branch 'branch-25.04' into nvks-runners

.github/ops-bot.yaml

@@ -4,3 +4,4 @@
 auto_merger: true
 branch_checker: true
 forward_merger: true
+label_checker: true

context/entrypoint.sh

@@ -10,7 +10,7 @@ EOF
 
 if [ -e "/home/rapids/environment.yml" ]; then
     echo "environment.yml found. Installing packages."
-    timeout ${CONDA_TIMEOUT:-600} mamba env update -n base -f /home/rapids/environment.yml || exit $?
+    timeout ${CONDA_TIMEOUT:-600} mamba env update -n base -y -f /home/rapids/environment.yml || exit $?
 fi
 
 if [ "$EXTRA_CONDA_PACKAGES" ]; then

context/test_notebooks.py

@@ -33,6 +33,8 @@
     'cuspatial/nyc_taxi_years_correlation.ipynb',
     # context on skip zipcodes: https://github.com/rapidsai/cuspatial/issues/1426
     'cuspatial/ZipCodes_Stops_PiP_cuSpatial.ipynb',
+    # context on this being skipped: https://github.com/rapidsai/docker/issues/726
+    'cuspatial/trajectory_clustering.ipynb',
 ]
 
 

cuvs-bench/README.md

@@ -36,7 +36,7 @@ export DATA_FOLDER=path/to/store/results/and/data
 docker run --gpus all --rm -it \
     -v $DATA_FOLDER:/home/rapids/benchmarks \
     -u $(id -u) \
-    rapidsai/cuvs-bench:25.04a-cuda12.5-py3.12 \
+    rapidsai/cuvs-bench:25.04a-cuda12.8-py3.12 \
     "--dataset deep-image-96-angular" \
     "--normalize" \
     "--algorithms cuvs_cagra" \
@@ -47,7 +47,7 @@ Where:
 
 - `DATA_FOLDER=path/to/store/results/and/data`: Results and datasets will be written to this host folder.
 - `-u $(id -u)`: This flag allows the container to use the host user for permissions
-- `rapidsai/cuvs-bench:25.04a-cuda12.5-py3.12`: Image to use, either `cuvs-bench` or `cuvs-bench-datasets`, cuVS version, CUDA version, and Python version.
+- `rapidsai/cuvs-bench:25.04a-cuda12.8-py3.12`: Image to use, either `cuvs-bench` or `cuvs-bench-datasets`, cuVS version, CUDA version, and Python version.
 - "--dataset deep-image-96-angular": Dataset name(s). See https://docs.rapids.ai/api/cuvs/nightly/cuvs_bench for more details.
 - "--normalize": Whether to normalize the dataset, leave string empty ("") to not normalize.
 - "--algorithms cuvs_cagra": What algorithm(s) to use as a ; separated list, as well as any other argument to pass to `cuvs_bench.run`.
@@ -74,7 +74,7 @@ export DATA_FOLDER=path/to/store/results/and/data
 docker run --gpus all --rm -it \
     -v $DATA_FOLDER:/home/rapids/benchmarks \
     -u $(id -u) \
-    rapidsai/cuvs-bench:25.04a-cuda12.5-py3.12 \
+    rapidsai/cuvs-bench:25.04a-cuda12.8-py3.12 \
     --entrypoint /bin/bash
 ```
 

dockerhub-readme.md

@@ -39,7 +39,7 @@ There are two types:
 
 The tag naming scheme for RAPIDS images incorporates key platform details into the tag as shown below:
 ```
-25.04-cuda12.5-py3.12
+25.04-cuda12.8-py3.12
  ^        ^      ^
  |        |      Python version
  |        |
@@ -48,7 +48,7 @@ The tag naming scheme for RAPIDS images incorporates key platform details into t
  RAPIDS version
 ```
 
-**Note: Nightly builds of the images have the RAPIDS version appended with an `a` (ie `25.04a-cuda12.5-py3.12`)**
+**Note: Nightly builds of the images have the RAPIDS version appended with an `a` (ie `25.04a-cuda12.8-py3.12`)**
 
 ## Usage
 
@@ -81,7 +81,7 @@ $ docker run \
     -e EXTRA_CONDA_PACKAGES="jq" \
     -e EXTRA_PIP_PACKAGES="beautifulsoup4" \
     -p 8888:8888 \
-    rapidsai/notebooks:25.04-cuda12.5-py3.12
+    rapidsai/notebooks:25.04-cuda12.8-py3.12
 ```
 
 ### Bind Mounts
@@ -106,7 +106,7 @@ $ docker run \
     --gpus all \
     --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 \
     -v $(pwd)/environment.yml:/home/rapids/environment.yml \
-    rapidsai/base:25.04-cuda12.5-py3.12
+    rapidsai/base:25.04-cuda12.8-py3.12
 ```
 
 ### Use JupyterLab to Explore the Notebooks

matrix.yaml

@@ -1,4 +1,4 @@
-CUDA_VER: # Should be `<major>.<minor>.<patch>` (e.g. `12.5.1`)
+CUDA_VER: # Should be `<major>.<minor>.<patch>` (e.g. `12.8.0`)
   - "11.8.0"
   - "12.0.1"
   - "12.8.0"