Quick Local Install
RAPIDS offers several installation methods, the quickest is shown below.
For more information, refer to the RAPIDS Installation Guide
A. NVIDIA Volta™ or higher GPU with compute capability 7.0+
B. Ubuntu 20.04 or 22.04, CentOS 7, Rocky Linux 8, or WSL2 on Windows 11
C. Recent CUDA version and NVIDIA driver pairs. Check yours with:
Install with Conda
1. If not installed, download and run the install script.
This will install the latest miniconda:
2. Then quick install RAPIDS with:
conda create --solver=libmamba -n rapids-24.02 -c rapidsai -c conda-forge -c nvidia rapids=24.02 python=3.10 cuda-version=12.0
Install with pip
Install via the NVIDIA PyPI index:
pip install \
Install with Docker
Check that you have the required
environment and then use the install selector
Install on Windows
Use the Windows WSL2 installation
RAPIDS Release Selector
Please see the RAPIDS Installation Guide
for the interactive release selector with more options,
detailed installation steps, and information about supported platforms.
Test Drive the new cuDF
Try out cuDF's new pandas Accelerator Mode, with a free required account, right now by Launching Google CoLab
Try RAPIDS Online
Don't have access to a GPU system right now? Try out RAPIDS with cloud based hardware from one of
these featured channels:
Jump right into a GPU enabled RAPIDS notebook environment with a free required account. Installed with pip, it is also available via Conda.
Enables Amazon Sagemaker notebook based environments in a free trial with required account.
Use Quick Start Instances through a limited free account.
Free short term use to try and learn with hands-on lab environment.
Microsoft Azure Cloud infrastructure and services are available with RAPIDS.
Oracle Cloud infrastructure and services are available with RAPIDS.
IBM Cloud infrastructure and services are available with RAPIDS.
User Guides and Tutorials
After installing, the best place to start is by looking through our more detailed tutorials and
guides on the User Guides Page