How to Install nvcc Command on Ubuntu

If you are facing the issue of nvcc command not found on your Ubuntu system, don’t worry. nvcc is a command-line utility that is part of the CUDA Toolkit and is used for compiling CUDA programs. This tutorial will guide you through the process of installing nvcc on Ubuntu.

Step 1: Check CUDA Toolkit Compatibility

Before installing nvcc, it’s important to check the compatibility of the CUDA Toolkit with your Ubuntu version. Make sure you have a compatible CUDA Toolkit version for your Ubuntu release.

Step 2: Install CUDA Toolkit

1. Download the CUDA Toolkit from the official NVIDIA website: CUDA Toolkit Downloads.
2. Follow the installation instructions provided on the CUDA Toolkit website.
3. Make sure to select the appropriate options during the installation process.

Step 3: Add CUDA Toolkit to PATH

After installing the CUDA Toolkit, you need to add the CUDA binaries directory to your system PATH to access the nvcc command from any location in the terminal.

echo 'export PATH=/usr/local/cuda/bin${PATH:+:${PATH}}' >> ~/.bashrc
source ~/.bashrc

Step 4: Verify nvcc Installation

To verify that nvcc has been successfully installed, run the following command in your terminal:

nvcc --version

If you see the version information of nvcc, then the installation was successful.

Alternative Solution for Compatibility Issues

In case you encounter compatibility issues with the CUDA Toolkit on Ubuntu, you can consider using the nvidia-cuda-toolkit package from the Ubuntu repository. This package provides CUDA support for Ubuntu systems and includes the nvcc command.

To install the nvidia-cuda-toolkit package, run the following command:

sudo apt-get update
sudo apt-get install nvidia-cuda-toolkit

Conclusion

By following the steps outlined in this tutorial, you should now have nvcc installed and ready to use on your Ubuntu system. Remember to always ensure compatibility with your system’s specifications and follow the official installation instructions for the best results. Happy CUDA programming!