Windows users can now tap into GPU accelerated data science on their local machines using RAPIDS on Windows Subsystem for Linux 2 (WSL 2)! WSL 2 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. An NVIDIA GPU with Compute Capability 7.0 or higher is required.
OS: Windows 11.
WSL Version: WSL 2. WSL 1 is not supported.
GPU: Only GPUs with Compute Capability 7.0 or higher are supported on RAPIDS in WSL 2. 16GB or more of GPU RAM is recommended.
WSL 2 Instance: Ubuntu 20.04 instance for WSL 2.
Join our community conversations about RAPIDS on WSL 2 using Twitter, Slack, or ask a question on StackOverflow.
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.
When installing with conda, if an
http 000 connection error
occurs when accessing the repository data, runwsl --shutdown
and then restart the WSL instance. More information
import cudf
print(cudf.Series([1, 2, 3]))
import cudf
print(cudf.Series([1, 2, 3]))
docker pull
and docker run
commands based on your desired configuration using the RAPIDS Release Selector. import cudf
print(cudf.Series([1, 2, 3]))