If I do some standard conda stuff, then that cudatoolkit messes with NVidia graphics cards: last time, after properly installing all dependencies and having a functioning numba, the Wirless and Ethernet went missing and I had no control over brightness etc. The basic tests for SMs runs, but even doing basic numba CUDA stuff doesn't run.
Conda nvidia cuda toolkit install#
Trying to install CUDA Toolkit for 20.04 on 21.10, and I still don't know if it works. And conda has to be configured to be default environment (otherwise, you don't have access to cudatoolkit). Now conda itself opens another can of worms: conda is a separate environment than python3's standard pip3, so we have to install all modules used through pip3, again using conda. Standard approach recommended is to install it through Miniconda/Anaconda, conda install cudatoolkit. Without it, GPU is not accessible for numba. This is what gives us nvidia-smi and related functionality, from what little I understand and/or it's the layer on top of GPU, with which other programs communicate, for example, numba module from python3.ĬUDA Toolkit: some LVVM files that numba needs to run CUDA. Ubuntu recommends 510.ĬUDA: this is related to Nvidia.
Conda nvidia cuda toolkit drivers#
Ubuntu's drivers for Nvidia: I can choose from 450 to 510. So far, I have understood there are three moving parts in this circus: I just want something that reliably runs with CUDA, without causing problems with Ubuntu drivers. The CSS on /r/Ubuntu is an on going development keeping up to date with the latest Ubuntu Unity theme.Īdditionally, feel free to message us if your (non-spam!) link/post is accidentally trapped in our spam filter, and we'll sort it out.
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