Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Reorder channel priority. #1067

Merged
merged 1 commit into from
Dec 14, 2022
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions docs/source/install.rst
Original file line number Diff line number Diff line change
Expand Up @@ -12,11 +12,11 @@ To use Dask-CUDA on your system, you will need:
- A version of NVIDIA CUDA Toolkit compatible with the installed driver version; see Table 1 of `CUDA Compatibility -- Binary Compatibility <https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility>`_ for an overview of CUDA Toolkit driver requirements

Once the proper CUDA Toolkit version has been determined, it can be installed using along with Dask-CUDA using ``conda``.
To install the latest version of Dask-CUDA along with CUDA Toolkit 11.0:
To install the latest version of Dask-CUDA along with CUDA Toolkit 11.5:

.. code-block:: bash

conda install -c rapidsai -c nvidia -c conda-forge dask-cuda cudatoolkit=11.0
conda install -c rapidsai -c conda-forge -c nvidia dask-cuda cudatoolkit=11.5

Pip
---
Expand Down