Update to 26.06

Dockerfile

@@ -7,15 +7,15 @@ ARG LINUX_DISTRO_VER=22.04
 ARG LINUX_VER=${LINUX_DISTRO}${LINUX_DISTRO_VER}
 ARG MINIFORGE_VER=notset
 ARG PYTHON_VER=notset
-ARG RAPIDS_VER=26.04
+ARG RAPIDS_VER=26.06
 
 # Gather dependency information
 FROM python:${PYTHON_VER} AS dependencies
 ARG CPU_ARCH=notset
 ARG CUDA_VER=notset
 ARG PYTHON_VER=notset
 ARG RAPIDS_BRANCH="main"
-ARG RAPIDS_VER=26.04
+ARG RAPIDS_VER=26.06
 ARG YQ_VER=notset
 
 SHELL ["/bin/bash", "-euo", "pipefail", "-c"]
@@ -122,7 +122,7 @@ EOF
 FROM miniforge-cuda AS base
 ARG CUDA_VER=notset
 ARG PYTHON_VER=notset
-ARG RAPIDS_VER=26.04
+ARG RAPIDS_VER=26.06
 
 SHELL ["/bin/bash", "-euo", "pipefail", "-c"]
 
@@ -249,7 +249,7 @@ LABEL com.nvidia.workbench.application.jupyterlab.webapp.url-cmd="jupyter lab li
 LABEL com.nvidia.workbench.cuda-version="$CUDA_VER"
 LABEL com.nvidia.workbench.description="RAPIDS with CUDA ${CUDA_VER}"
 LABEL com.nvidia.workbench.entrypoint-script="/home/rapids/entrypoint.sh"
-LABEL com.nvidia.workbench.image-version="26.04.00"
+LABEL com.nvidia.workbench.image-version="26.06.00"
 LABEL com.nvidia.workbench.labels="cuda${CUDA_VER}"
 LABEL com.nvidia.workbench.name="RAPIDS with CUDA ${CUDA_VER}"
 LABEL com.nvidia.workbench.os-distro-release="$LINUX_DISTRO_VER"

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:26.06a-cuda13-py3.13 \
     "--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:26.06a-cuda13-py3.13`: 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:26.06a-py3.13 \
      "--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:26.06a-cuda13-py3.13 \
     --entrypoint /bin/bash
 ```
 

cuvs-bench/cpu/Dockerfile

@@ -3,11 +3,11 @@
 
 ARG MINIFORGE_VER=notset
 ARG PYTHON_VER=notset
-ARG RAPIDS_VER=26.04
+ARG RAPIDS_VER=26.06
 
 FROM condaforge/miniforge3:${MINIFORGE_VER} AS cuvs-bench-cpu
 ARG PYTHON_VER=notset
-ARG RAPIDS_VER=26.04
+ARG RAPIDS_VER=26.06
 
 COPY condarc /opt/conda/.condarc
 

cuvs-bench/gpu/Dockerfile

@@ -5,7 +5,7 @@ ARG CUDA_VER=notset
 ARG LINUX_VER=notset
 ARG MINIFORGE_VER=notset
 ARG PYTHON_VER=notset
-ARG RAPIDS_VER=26.04
+ARG RAPIDS_VER=26.06
 
 # --- begin 'rapidsai/miniforge-cuda' --- #
 FROM condaforge/miniforge3:${MINIFORGE_VER} AS miniforge-upstream
@@ -59,7 +59,7 @@ EOF
 
 FROM miniforge-cuda AS cuvs-bench
 ARG CUDA_VER=notset
-ARG RAPIDS_VER=26.04
+ARG RAPIDS_VER=26.06
 
 COPY condarc /opt/conda/.condarc
 

dockerhub-readme.md

@@ -8,7 +8,7 @@ Visit [rapids.ai](https://rapids.ai) for more information.
 
 **NOTE:** Review our [system requirements](https://docs.rapids.ai/install#system-req) to ensure you have a compatible system!
 
-### Current Version - RAPIDS v26.04
+### Current Version - RAPIDS v26.06
 
 RAPIDS Libraries included in the images:
 
@@ -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
+26.06-cuda13-py3.13
 ^         ^    ^
 |         |    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 `26.06a-cuda13-py3.13`)**
 
 **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:26.06-cuda13-py3.13
 ```
 
 ### 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:26.06-cuda13-py3.13
 ```
 
 ### Use JupyterLab to Explore the Notebooks

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:26.06a-cuda13-py3.13"
 
 ci/run-validation-checks.sh \
     --dask-scheduler \