Skip to content

Instantly share code, notes, and snippets.

@ancabilloni
Last active August 11, 2020 05:28
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save ancabilloni/25659dc1bf665e87b35cc41a976a2c6b to your computer and use it in GitHub Desktop.
Save ancabilloni/25659dc1bf665e87b35cc41a976a2c6b to your computer and use it in GitHub Desktop.
# Instruction reference: https://www.tensorflow.org/install/gpu
# Add NVIDIA package repositories
cd ~/Downloads
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.1.243-1_amd64.deb
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo dpkg -i cuda-repo-ubuntu1804_10.1.243-1_amd64.deb
sudo apt-get update
wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt install ./nvidia-machine-learning-repo-ubuntu1804_1.0.0-1_amd64.deb
sudo apt-get update
# Install NVIDIA driver
sudo apt-get install --no-install-recommends nvidia-driver-450
# Reboot. Check that GPUs are visible using the command: nvidia-smi
# Install development and runtime libraries (~4GB)
sudo apt-get install --no-install-recommends cuda-10-1 libcudnn7=7.6.5.32-1+cuda10.1 libcudnn7-dev=7.6.5.32-1+cuda10.1
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment