I’m a computer science student trying to get nvidia drivers working for machine learning.
My machine is a Lenovo T490 laptop with a MX250 dGPU, but I think it defaults to using the intel integrated graphics to run my desktop windows. It’s a dual boot machine with windows on its own partition, but I am specifically trying to install the cuda and nvidia drivers for my MX250 on my Ubuntu 20.04 system. My machine is 64 bit.
My benchmark for if my install has worked is running
nvidia-smi and hoping I don’t get the below error message:
NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.
Tragically, I have tried many different ways of installing nvidia drivers and the cuda toolkit, and I’m afraid my system might be hopelessly tied up with conflicting installs. I have tried using a run file for Linux-x86_64, 450.80.02, but that install complained about
nvidia-drm kernel not being able to be found. I have also tried various cuda installs but those also did not seem to work. I also recently upgraded from 18.04 to 20.04 (today) to try and help solve my install problems but that did not seem to make a difference.
My latest attempt was using:
sudo apt-get install nvidia-driver-455
As far as I can tell, I don’t think I have any bad files in /etc/modprobe.d
I could not upload the .gz file, so I just uploaded the entire thing. I hope that’s ok
nvidia-bug-report.log (1.8 MB)
Please let me know if there’s any further information I can provide to help debug my setup.