📅  最后修改于: 2023-12-03 15:19:42.519000             🧑  作者: Mango
Rapids is an open-source data science framework that aims to accelerate data science on GPUs. The installation process can be challenging, so here is a step-by-step guide to installing Rapids using Shell-Bash.
Miniconda is a lightweight version of Anaconda, a popular Python distribution. It is recommended to use Miniconda to create a virtual environment for Rapids installation.
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh
bash ~/miniconda.sh -b -p $HOME/miniconda
export PATH="$HOME/miniconda/bin:$PATH"
Create a new Conda environment for Rapids and activate it.
conda create -n rapids -c rapidsai -c nvidia -c conda-forge rapids-blazing=21.10 python=3.9 cudatoolkit=11.2
conda activate rapids
Run the following command to verify your installation:
python -c "import cudf; print(cudf.__version__)"
You should see the version number of cudf printed on the screen.
In this tutorial, you have learned how to install Rapids using Shell-Bash. With Rapids installed, you can now accelerate your data science workflows on GPUs.