Bump GPU envs and docs to CTK 11.8

dask-contrib · Jan 25, 2024 · 4237ed2 · 4237ed2
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diff --git a/continuous_integration/gpuci/environment-3.10.yaml b/continuous_integration/gpuci/environment-3.10.yaml
@@ -40,7 +40,7 @@ dependencies:
 - tzlocal>=2.1
 - uvicorn>=0.13.4
 # GPU-specific requirements
-- cudatoolkit=11.5
+- cudatoolkit=11.8
 - cudf=24.02
 - cuml=24.02
 - dask-cudf=24.02

diff --git a/continuous_integration/gpuci/environment-3.9.yaml b/continuous_integration/gpuci/environment-3.9.yaml
@@ -40,7 +40,7 @@ dependencies:
 - tzlocal>=2.1
 - uvicorn>=0.13.4
 # GPU-specific requirements
-- cudatoolkit=11.5
+- cudatoolkit=11.8
 - cudf=24.02
 - cuml=24.02
 - dask-cudf=24.02

diff --git a/docs/source/installation.rst b/docs/source/installation.rst
@@ -35,7 +35,7 @@ More details can be found on the `RAPIDS Getting Started <https://rapids.ai/star
 .. code-block:: bash
 
     conda create --name rapids-env -c rapidsai-nightly -c nvidia -c conda-forge \
-        cudf=22.10 dask-cudf=22.10 ucx-py ucx-proc=*=gpu python=3.9 cudatoolkit=11.5
+        cudf=22.10 dask-cudf=22.10 ucx-py ucx-proc=*=gpu python=3.9 cudatoolkit=11.8
     conda activate rapids-env
 
 Note that using UCX is mainly necessary if you have an Infiniband or NVLink enabled system.