Windows users can now tap into GPU accelerated data science on their local machines using RAPIDS on Windows Subsystem for Linux2 (WSL2)! WSL2 is a Windows feature that enables users to run native Linux command-line tools directly on Windows. Using this feature does not require a dual boot environment, removing complexity and saving you time. Your computer will need an NVIDIA GPU with Compute capability 7.0 or higher.
OS: Windows 11.
WSL Version: WSL2. WSL1 is not supported.
GPU: Only GPUs with Compute capability 7.0 or higher are supported on RAPIDS in WSL2. GPUs with 16GB or more of RAM is recommended
WSL2 Instance: Ubuntu 20.04 instance for WSL2.
Only single GPU is supported.
GPU Direct Storage is not supported.
At least 8 GB of RAM and a relatively fast CPU are strongly recommended https://docs.microsoft.com/en-us/windows/wsl/install
Choose a Docker Installation Method
Install Docker Desktop in Windows and enable the WSL2 backend.
Docker packages run in WSL2 will only work if Docker Desktop is correctly set up and running in Windows. Learn more.
Install Docker + nvidia-docker directly in WSL2 following the current instructions on the RAPIDS site. Note that WSL2 does not have systemd so Docker will not start automatically. You have to manually run sudo service docker start after each reboot. [Learn more].
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. More information