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@8enmann
Last active October 12, 2021 06:07
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Reinstall NVIDIA drivers without opengl Ubuntu 16.04 GTX 1080ti
# Download installers
mkdir ~/Downloads/nvidia
cd ~/Downloads/nvidia
wget https://developer.nvidia.com/compute/cuda/8.0/Prod2/local_installers/cuda_8.0.61_375.26_linux-run
wget http://us.download.nvidia.com/XFree86/Linux-x86_64/384.59/NVIDIA-Linux-x86_64-384.59.run
sudo chmod +x NVIDIA-Linux-x86_64-384.59.run
sudo chmod +x cuda_8.0.61_375.26_linux-run
./cuda_8.0.61_375.26_linux-run -extract=~/Downloads/nvidia/
# Uninstall old stuff
sudo apt-get --purge remove nvidia-*
sudo nvidia-uninstall
# Reboot
sudo shutdown -r now
# In grub boot menu hit `e` and add `nouveau.modeset=0` to the end of the line beginning with `linux`
# F10 to boot
# CTRL+ALT+F1 and log in
sudo service lightdm stop
sudo ./NVIDIA-Linux-x86_64-384.59.run --no-opengl-files
sudo ./cuda-linux64-rel-8.0.61-21551265.run --no-opengl-libs
# Verify installation
nvidia-smi
cat /proc/driver/nvidia/version
# Start jupyter
xvfb-run -s "-screen 0 1400x900x24" jupyter notebook
@keven425
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This is AMAZING. Thank you so much!

@adrienrenaud
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Thanks a lot, worked like a charm on a - google cloud Tesla K80 gpu ubuntu 16.04 - wm.
But I don't need the xvfb-run -s "-screen 0 1400x900x24" part, strange?

By the way, did you manage to get universe working?

@jangirrishabh
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Yes! It works and it's great :D
But even I don't need to use xvfb-run for rendering gym, I used a -X flag for ssh
Any idea what might be happening?

@jangirrishabh
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Also, if you could add another step about installing cuDNN libraries too, it would be useful for other people
https://stackoverflow.com/questions/31326015/how-to-verify-cudnn-installation This helps!

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