Forward-merge release/26.04 into main

CONTRIBUTING.md

@@ -21,10 +21,10 @@ export LINUX_DISTRO_VER=24.04
 export LINUX_VER=ubuntu24.04
 
 # Python version in {major}.{minor}
-export PYTHON_VER=3.13
+export PYTHON_VER=3.14
 
 # RAPIDS version in {major}.{minor}
-export RAPIDS_VER=26.02
+export RAPIDS_VER=26.04
 
 # rapidsai/base
 docker build $(ci/compute-build-args.sh) \

cuvs-bench/README.md

@@ -35,7 +35,7 @@ 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:26.04a-cuda13-py3.13 \
+    rapidsai/cuvs-bench:26.04a-cuda13-py3.14 \
     "--dataset deep-image-96-angular" \
     "--normalize" \
     "--algorithms cuvs_cagra" \
@@ -46,7 +46,7 @@ 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:26.04a-cuda13-py3.13`: Image to use, `cuvs-bench`, cuVS version, CUDA version, and Python version.
+- `rapidsai/cuvs-bench:26.04a-cuda13-py3.14`: Image to use, `cuvs-bench`, 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`.
@@ -59,7 +59,7 @@ export DATA_FOLDER=path/to/store/results/and/data
 docker run  all --rm -it \
     -v $DATA_FOLDER:/home/rapids/benchmarks \
     -u $(id -u) \
-    rapidsai/cuvs-bench-cpu:26.04a-py3.13 \
+    rapidsai/cuvs-bench-cpu:26.04a-py3.14 \
      "--dataset deep-image-96-angular" \
      "--normalize" \
      "--algorithms cuvs_cagra" \
@@ -73,7 +73,7 @@ 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:26.04a-cuda13-py3.13 \
+    rapidsai/cuvs-bench:26.04a-cuda13-py3.14 \
     --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:
 
 ```text
-26.04-cuda13-py3.13
+26.04-cuda13-py3.14
 ^         ^    ^
 |         |    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 `26.04a-cuda13-py3.13`)**
+**Note: Nightly builds of the images have the RAPIDS version appended with an `a` (ie `26.04a-cuda13-py3.14`)**
 
 **Note on CUDA versioning**:
 - **RAPIDS 25.12 and later**: CUDA version tags are major-only (e.g., `cuda12`, `cuda13`).
@@ -86,7 +86,7 @@ $ docker run \
     -e EXTRA_CONDA_PACKAGES="jq" \
     -e EXTRA_PIP_PACKAGES="beautifulsoup4" \
     -p 8888:8888 \
-    rapidsai/notebooks:26.04-cuda13-py3.13
+    rapidsai/notebooks:26.04-cuda13-py3.14
 ```
 
 ### Bind Mounts
@@ -111,7 +111,7 @@ $ docker run \
     --gpus all \
     --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 \
     -v $(pwd)/environment.yml:/home/rapids/environment.yml \
-    rapidsai/base:26.04-cuda13-py3.13
+    rapidsai/base:26.04-cuda13-py3.14
 ```
 
 ### Use JupyterLab to Explore the Notebooks

matrix-test.yaml

@@ -5,9 +5,9 @@ pull-request:
   - { CUDA_VER: '12', ARCH: 'arm64', PYTHON_VER: '3.11', GPU: 'a100', DRIVER: 'earliest' }
   - { CUDA_VER: '12', ARCH: 'amd64', PYTHON_VER: '3.12', GPU: 'l4',   DRIVER: 'latest'   }
   - { CUDA_VER: '13', ARCH: 'amd64', PYTHON_VER: '3.13', GPU: 'h100', DRIVER: 'latest'   }
-  - { CUDA_VER: '13', ARCH: 'arm64', PYTHON_VER: '3.13', GPU: 'l4',   DRIVER: 'latest'   }
+  - { CUDA_VER: '13', ARCH: 'arm64', PYTHON_VER: '3.14', GPU: 'l4',   DRIVER: 'latest'   }
 branch:
   - { CUDA_VER: '12', ARCH: 'arm64', PYTHON_VER: '3.11', GPU: 'a100', DRIVER: 'earliest' }
   - { CUDA_VER: '12', ARCH: 'amd64', PYTHON_VER: '3.12', GPU: 'l4',   DRIVER: 'latest'   }
   - { CUDA_VER: '13', ARCH: 'amd64', PYTHON_VER: '3.13', GPU: 'h100', DRIVER: 'latest'   }
-  - { CUDA_VER: '13', ARCH: 'arm64', PYTHON_VER: '3.13', GPU: 'l4',   DRIVER: 'latest'   }
+  - { CUDA_VER: '13', ARCH: 'arm64', PYTHON_VER: '3.14', GPU: 'l4',   DRIVER: 'latest'   }

matrix.yaml

@@ -10,3 +10,4 @@ PYTHON_VER:
   - "3.11"
   - "3.12"
   - "3.13"
+  - "3.14"

tests/container-canary/README.md

@@ -9,7 +9,7 @@ Install `container-canary` following the instructions in that project's repo.
 Run the tests against a built image, the same way they're run in CI.
 
 ```shell
-IMAGE_URI="rapidsai/notebooks:26.04a-cuda13-py3.13"
+IMAGE_URI="rapidsai/notebooks:26.04a-cuda13-py3.14"
 
 ci/run-validation-checks.sh \
     --dask-scheduler \

versions.yaml

@@ -3,4 +3,4 @@
 # renovate: datasource=docker depName=condaforge/miniforge3 versioning=docker
 MINIFORGE_VER: 25.11.0-0
 # renovate: datasource=github-releases depName=mikefarah/yq
-YQ_VER: 4.52.2
+YQ_VER: 4.52.4