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Sure, here’s a step-by-step tutorial on how to install CUDA on Linux Ubuntu, along with code examples where applicable. Please note that the steps and version numbers may change, so it’s always a good idea to refer to the official NVIDIA documentation for the latest information.
Make sure your NVIDIA GPU is supported by CUDA. You can find the list of supported GPUs on the NVIDIA website.
Open the /etc/modprobe.d/blacklist-nouveau.conf file and add the following lines:
Update the initial RAM file system:
Go to the CUDA Toolkit download page and download the appropriate version for your system. For example, you can use the following commands to download and install CUDA Toolkit 11.0:
Add the following lines to your ~/.bashrc or ~/.zshrc file:
Then, restart your terminal or run source ~/.bashrc (or source ~/.zshrc) to apply the changes.
Check if CUDA is installed by running the following command:
You should see information about the installed CUDA version.
If you’re developing deep learning applications, you might want to install cuDNN for GPU-accelerated deep neural network operations. Download cuDNN from the NVIDIA cuDNN website and follow the installation instructions provided.
Congratulations! You’ve successfully installed CUDA on your Linux Ubuntu system. Keep in mind that the version numbers and commands might change, so it’s essential to check the official documentation for the latest information.
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