I am having some difficulty running code with the cudf and dask_cudf modules in python.
I am working on Jupyter Labs through Anaconda. I have been able to correctly install my nvidia-gpu driver, cudf (through rapidsai), and cuda. Only, when I go to import cudf in python using import cudf, I get an error reading: "home/lib/python3.7/site-packages/cudf/utils/gpu_utils.py:120: UserWarning: No NVIDIA GPU detected. Warnings.warn("No NVIDIA GPU detected")
My environment:
I am trying to load and manipulate datasets with data in the hundreds of thousands to millions of items, so I really need the cudf/dask_cudf utility to maximize my time.
When I run nvidia-smi in the terminal, everything looks fine and the persistence mode is on. I have searched all over the internet for a solution with no great ideas. Any help would be appreciated.
Based on the conversations you're having with Robert, it seems that your GPU's architecture being a few generations outside of what RAPIDS will work with is the issue. Thanks Robert for working with Maggie to figure that out!
I wouldn't try to force RAPIDS to work on Kepler when there are so many alternative ways to provision a GPU - even free options for trial purposes!
If you are still interested in trying out RAPIDS and only need a single GPU, please look at our Google Colab notebooks and set up script OR app.blazingsql.com. They are shared or extra instances, with Colab allowing you more customization of your workspace if you need to install more packages and blazing having the fastest "get up and running" time.
If you feel that you need more than one GPU, you move to the paid realm and can provision it with any major cloud provider, install RHEL version of your choice (we only officially support RHEL 7, though).
Does that help you?