NVIDIA fully moves to open source GPU core modules
NVIDIA has taken an important step in its commitment to open source software. The company announced that its upcoming R560 driver will be fully switched to open source GPU core modules . This move marks a significant shift in NVIDIA's strategy for driver development and distribution.
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In May 2022, NVIDIA introduced an open source Linux GPU core module in the R515 driver. These modules are released under dual GPL and MIT licenses and were originally targeted at data center computing GPUs. At that time, support for GeForce and workstation GPUs was in the alpha stage.
Over the past two years, NVIDIA has made substantial progress:
The transition to open source modules has different effects on different GPU generations:
If you are not sure which driver to install, don't worry! NVIDIA provides a detection assistant script to guide users to select the right driver.
NVIDIA is changing the default installation method for all installation methods from proprietary drivers to open source drivers.
When installing CUDA toolkits using the package manager, the top-level cuda package installs both the CUDA toolkit and the associated driver version. For example, installing cuda during CUDA version 12.5 provides the proprietary NVIDIA driver 555 and CUDA toolkit 12.5.
Previously, using open source GPU core modules required the installation of the distribution-specific NVIDIA driver open package and the selected cuda-toolkit-XY package.
Starting with CUDA 12.6, this process has changed. The default installation now includes open source drivers.
The .run file installer for CUDA or NVIDIA drivers is now:
For command line or automated installations (such as Ansible ), use the following override:
<code># 用于CUDA安装sh ./cuda_12.6.0_560.22_linux.run --override --kernel-module-type=proprietary # 用于NVIDIA驱动程序安装sh ./NVIDIA-Linux-x86_64-560.run --kernel-module-type=proprietary</code>
NVIDIA provides an assistant script to guide driver selection. To use it, first install the nvidia-driver-assistant package and then run the script:
<code>$ nvidia-driver-assistant</code>
NVIDIA recommends using a package manager for consistent CUDA toolkit and driver installation. Here are the release-specific instructions:
Debian-based system :
Install open source drivers:
<code>$ sudo apt-get install nvidia-open</code>
For Ubuntu 20.04, first upgrade to the open kernel module, and then install the open source driver like this:
<code>$ sudo apt-get install -V nvidia-kernel-source-open $ sudo apt-get install nvidia-open</code>
RHEL-based system :
Install open source drivers:
<code>$ sudo dnf module install nvidia-driver:open-dkms</code>
To upgrade using CUDA metapackage, disable module flow:
<code>$ echo "module_hotfixes=1" | tee -a /etc/yum.repos.d/cuda*.repo $ sudo dnf install --allowerasing nvidia-open $ sudo dnf module reset nvidia-driver</code>
SUSE or OpenSUSE :
Select the appropriate command according to your kernel:
<code># 默认内核版本$ sudo zypper install nvidia-open # Azure内核版本(sles15/x86_64) $ sudo zypper install nvidia-open-azure # 64kb内核版本(sles15/sbsa)适用于Grace-Hopper $ sudo zypper install nvidia-open-64k</code>
WSL users do not need to do anything because it uses the NVIDIA kernel driver from the host Windows system.
The installation process of the CUDA toolkit remains the same. Users can install it through their package manager as before.
<code>$ sudo apt-get/dnf/zypper install cuda-toolkit</code>
For more detailed information about driver installation or CUDA toolkit settings, users can refer to the CUDA installation guide .
NVIDIA's move to open source GPU core modules marks a significant shift in the company's approach to driver development.
I really hope this will improve compatibility, performance, and user choice for a variety of GPU generations and Linux distributions.
resource :
Featured image from Pixabay's Mizter_X94 .
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