nvidia-smi command not found - Amazon Linux
How to Install nvidia-smi Command on Amazon Linux
If you are using Amazon Linux and trying to use the nvidia-smi command but getting a “command not found” error, it means that the NVIDIA System Management Interface (nvidia-smi) utility is not installed on your system. nvidia-smi is a command-line tool that provides monitoring and management capabilities for NVIDIA GPU devices.
To install the nvidia-smi command on Amazon Linux, you can follow these steps:
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Check GPU Driver Installation: Before installing
nvidia-smi, make sure that you have the NVIDIA GPU driver installed on your system. You can check this by running the following command:sudo lspci | grep -i nvidia -
Install NVIDIA Toolkit: The
nvidia-smiutility is typically included in the NVIDIA CUDA Toolkit. You can install the CUDA Toolkit on Amazon Linux by following the official NVIDIA documentation here. -
Verify Installation: After installing the CUDA Toolkit, you should be able to access the
nvidia-smicommand. You can verify this by running:nvidia-smi
If any of the above commands are not compatible with your Amazon Linux system, you can consider the following alternative solutions:
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Using NVIDIA Driver Repository: You can also install the NVIDIA driver and CUDA Toolkit from the NVIDIA driver repository by following the instructions provided on the NVIDIA website.
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Installing NVIDIA Driver Manually: If the above methods do not work, you can manually install the NVIDIA GPU driver by downloading the driver package from the NVIDIA website and following the installation instructions.
By following these steps, you should be able to install and use the nvidia-smi command on your Amazon Linux system for monitoring and managing NVIDIA GPU devices.
Conclusion
The nvidia-smi command is a valuable tool for monitoring and managing NVIDIA GPU devices on Linux systems. By ensuring the proper installation of the NVIDIA GPU driver and CUDA Toolkit, you can leverage the capabilities of nvidia-smi to optimize performance and troubleshoot GPU-related issues effectively.