RAPIDS
Suite of libraries for data analytics and machine learning on GPUs.
Available
The rapids module is available on Puhti only. Currently supported RAPIDS versions:
- 0.16 using Singularity:
0.16-sng - 0.15 using Singularity:
0.15-sng - 0.14 using Singularity:
0.14-sng - 0.11
Contains the RAPIDS suite (including cuDF, cuML, cuGraph, and XGBoost) for Python with GPU support via CUDA.
Modules ending with -sng are based on NVIDIA's optimized container
images from
NGC.
If you find that some package is missing, you can often install it yourself with pip install --user. If you think that some important RAPIDS-related package should be included in the module provided by CSC, you can send an email to servicedesk@csc.fi.
Some modules are Singularity-based. Wrapper scripts have been provided so that common commands such as python, python3, pip and pip3 should work as normal. For more information, see our machine learning guide.
License
RAPIDS is licensed under Apache License 2.0
Usage
To use this software on Puhti, initialize it with:
module load rapids
to access the default version.
This will show all available versions:
module avail rapids
To check the exact packages and versions included in the loaded module you can run:
list-packages
Note
Note that Puhti login nodes are not intended for heavy computing, please use slurm batch jobs instead. See our instructions on how to use the batch job system.
Local storage
The GPU nodes in Puhti have fast local storage which is useful for IO-intensive applications. See our general instructions on how to take the fast local storage into use.
More information
Last edited Fri Feb 5 2021