Install NVIDIA Drivers and Vulkan on Rocky Linux and RHEL
Last updated
Last updated
Install the Extra Packages for Enterprise Linux (EPEL) repository and other packages before installing NVIDIA drivers.
RHEL-based distributions require Dynamic Kernel Module Support (DKMS) to build the GPU driver kernel modules. For more information, see . Upgrade the kernel and restart the machine.
Install kernel headers and development packages:
If installing kernel headers does not work correctly, follow these steps instead:
Identify the Linux kernel you are using by issuing the uname -r command.
Use the name of the kernel (4.18.0-553.el8_10.x86_64 in the following code example) to install kernel headers and development packages:
Install the dependencies and extra packages:
If you do not know the GPU model installed on your system, run this command:
The output shows the product type, series, and model. In this example, the product type is Tesla, the series is T (as Turing), and the model is T4.
Select the product type shown after running the command above.
Select the correct product series and model for your installation.
In the Operating System dropdown list, select Linux 64-bit.
In the CUDA Toolkit dropdown list, click a supported version (11.4 or higher).
Click Search.
On the resulting page, verify the download information and click Download.
Move the downloaded file to the server, change the permissions, and run the installation.
Install a specific version of the driver for your GPU by installing the NVIDIA repository and using the DNF package manager.
Add the NVIDIA network repository to your system.
Install the driver version needed with dnf. For 8.0, the minimum version is 535.
To load the installed driver, you can run sudo modprobe nvidia or nvidia-smi commands, or , in case of driver upgrade, you can reboot your system to ensure that the new version of the driver is loaded using the command sudo reboot
Run the specified command to verify that your drivers are installed correctly and recognize the GPUs in your environment. Depending on your environment, you should see output confirming the presence of your NVIDIA GPUs and drivers. This verification step ensures that your system can identify and utilize the GPUs as intended.
The back-end renderer requires a Vulkan-enabled driver and the Vulkan library to work correctly. Without these components, the database cannot start without disabling the back-end renderer.
To ensure the Vulkan library and its dependencies are installed, use the DNF.
You must install the CUDA Toolkit if you use advanced features like C++ User-Defined Functions or User-Defined Table Functions to extend the database capabilities.
Add the NVIDIA network repository to your system:
2. List the available CUDA Toolkit versions using the DNF list command
3. Install the CUDA Toolkit version using DNF.
4. Check that everything is working correctly:
CUDA is a parallel computing platform and application programming interface (API) model. It uses a CUDA-enabled graphics processing unit (GPU) for general-purpose processing. The CUDA platform provides direct access to the GPU virtual instruction set and parallel computation elements. For more information on CUDA unrelated to installing HEAVY.AI, see . You can install drivers in multiple ways. This section provides installation information using the or using .
Install the CUDA package for your platform and operating system according to the instructions on the NVIDIA website ).
Please check that the driver's version you download meets the HEAVI.AI .
When installing the driver, ensure your GPU model is supported and meets the HEAVI.AI .
Please review the section and correct any errors.
For more information about troubleshooting Vulkan, see the section.
