Once the installation is complete, you will see a Restart button as marked in the screenshot below. The Software & Updates app will download all the required packages from the internet and install the proprietary NVIDIA drivers on your computer. Type in your login password and click on Authenticate. To use the proprietary NVIDIA drivers, select Using NVIDIA driver metapackage from nvidia-drivers-510 (proprietary, tested) from the list and click on Apply Changes as marked in the screenshot below. Navigate to the Additional Drivers tab and you should see that Nouveau drivers are being used. The Software & Updates app should be opened. To install the proprietary NVIDIA drivers, open the Software & Updates app from the Application Menu of Ubuntu Desktop 22.04 LTS as marked in the screenshot below. Install RAPIDS via Conda, using the RAPIDS Release Selector.Installing NVIDIA Drivers using the Graphical User Interface:.Install Conda in the WSL2 Linux Instance using our Conda instructions.Install the latest NVIDIA Drivers on the Windows host.Install WSL2 and the Ubuntu 22.04 package using Microsoft’s instructions.When installing with conda, if an http 000 connection error occurs when accessing the repository data, run wsl -shutdown and then restart the WSL instance. GPU: GPUs with Compute Capability 7.0 or higher (16GB+ GPU RAM is recommended). OS: Windows 11 with Ubuntu 22.04 instance for WSL2. Using this feature does not require a dual boot environment, removing complexity and saving you time. WSL2 is a Windows feature that enables users to run native Linux command line tools directly on Windows. Windows users can now tap into GPU accelerated data science on their local machines using RAPIDS on Windows Subsystem for Linux 2. Several services also offer free and limited trials with GPU resources: Learn how to deploy RAPIDS on AWS, Azure, GCP, and IBM cloud on our Cloud Deployment Page. If you do not have access to GPU hardware, there are several cloud service providers (CSP) that are RAPIDS enabled. Approximately 2:1 ratio of system Memory to total GPU Memory (especially useful for Dask).See CUDA compatibility for details.Īside from the system requirements, other considerations for best performance include: Newer CUDA and driver versions may also work with RAPIDS.
Note: RAPIDS is tested with and officially supports the versions listed above. RHEL 7/8 support is provided through CentOS 7 / Rocky Linux 8 builds/installsĬUDA & NVIDIA Drivers: One of the following supported versions:.Windows 11 using a WSL2 specific install.GPU: NVIDIA Pascal™ or better with compute capability 6.0+ All provisioned systems need to be RAPIDS capable.
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