install cuda python ubuntu
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Certainly! Installing CUDA with Python on Ubuntu involves a few steps, including installing the NVIDIA GPU drivers, CUDA toolkit, cuDNN library, and the necessary Python packages. Below is a step-by-step tutorial with code examples:
Firstly, ensure that your GPU is supported by CUDA. You can find the list of supported GPUs on the NVIDIA website.
Replace version with the appropriate driver version.
Create or edit the file /etc/modprobe.d/blacklist-nouveau.conf:
Add the following lines:
Update the initramfs:
Reboot your system:
Download the CUDA Toolkit from the NVIDIA website. Choose the appropriate version for your GPU and Ubuntu version.
Replace version with the version number of the CUDA Toolkit.
Add the following lines to your ~/.bashrc or ~/.zshrc:
Replace version with the installed CUDA version.
Download cuDNN from the NVIDIA website (requires an NVIDIA Developer account).
Replace version with the cuDNN version.
Install the necessary Python packages using pip:
Verify the installation by running the following Python script:
Save the script as verify_cuda_installation.py and run:
If everything is set up correctly, you should see the versions of TensorFlow and PyTorch along with the CUDA availability.
That’s it! You’ve successfully installed CUDA with Python on Ubuntu. Adjust the version numbers in the commands according to the latest releases available.
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