- NVIDIA Releases Open-Source GPU Kernel Modules
- Supported functionality
- Installation opt-in
- Partner ecosystem
- Canonical
- SUSE
- Red Hat
- Upstream approach
- Frequently asked questions
- Where can I download the R515 driver?
- Can open GPU kernel modules be distributed?
- Will the source for user-mode drivers such as CUDA be published?
- Which GPUs are supported by open GPU kernel modules?
- How to report bugs
- What is the process for patch submission and SLA/CLA for patches?
- Related resources
- Свободный драйвер Nouveau для видеокарт Nvidia
- Обновление драйвера
- Обновление из PPA
- Установка из исходных кодов
- Шаг 1. Подготовка
- Шаг 2. Компиляция нового ядра
- Шаг 3. Компиляция и установка libdrm
- Шаг 4. Компиляция и установка драйвера Nouveau
- Шаг 5. Компиляция и установка Mesa
- Шаг 6. Настройка Xorg
- Шаг 7. Проверка работоспособности драйвера
NVIDIA Releases Open-Source GPU Kernel Modules
NVIDIA is now publishing Linux GPU kernel modules as open source with dual GPL/MIT license, starting with the R515 driver release. You can find the source code for these kernel modules in the NVIDIA/open-gpu-kernel-modules GitHub page
This release is a significant step toward improving the experience of using NVIDIA GPUs in Linux, for tighter integration with the OS, and for developers to debug, integrate, and contribute back. For Linux distribution providers, the open-source modules increase ease of use. They also improve the out-of-the-box user experience to sign and distribute the NVIDIA GPU driver. Canonical and SUSE can immediately package the open kernel modules with Ubuntu and SUSE Linux Enterprise Distributions.
You can trace into code paths and see how kernel event scheduling is interacting with your workload, for faster root-cause debugging. In addition, enterprise software developers can now integrate the driver seamlessly into the customized Linux kernel configured for their project.
This helps improve NVIDIA GPU driver quality and security with input and reviews from the Linux end-user community.
With each new driver release, NVIDIA publishes a snapshot of the source code on the NVIDIA/open-gpu-kernel-modules GitHub page. Community submitted patches are reviewed and if approved, integrated into a future driver release.
For more information, see the NVIDIA contribution guidelines and overview of the driver release cadence and lifecycle documentation.
Supported functionality
The first release of the open GPU kernel modules is R515. Along with the source code, fully built and packaged versions of the drivers are provided.
For data center GPUs in the NVIDIA Turing and NVIDIA Ampere architecture families, this code is production-ready. This was made possible by the phased rollout of the GSP driver architecture over the past year, designed to make the transition easy for NVIDIA customers. We focused on testing across a wide variety of workloads to ensure feature and performance parity with the proprietary kernel-mode driver.
In the future, functionality such as HMM will be a foundational component for confidential computing on the NVIDIA Hopper architecture.
In this open-source release, support for GeForce and Workstation GPUs is alpha-quality. GeForce and Workstation users can use this driver on NVIDIA Turing and NVIDIA Ampere Architecture GPUs to run Linux desktops and use features such as multiple displays, G-SYNC, and NVIDIA RTX ray tracing in Vulkan and NVIDIA OptiX.
You can opt in using the kernel module parameter NVreg_OpenRmEnableUnsupportedGpus=1 . More robust and fully featured GeForce and Workstation support will follow in subsequent releases and the NVIDIA Open Kernel Modules will eventually supplant the closed-source driver.
Customers with NVIDIA Turing and NVIDIA Ampere Architecture GPUs can choose which modules to install. Pre-Turing customers will continue to run the closed source modules.
The open-source kernel-mode driver works with the same firmware and the same user-mode stacks such as CUDA, OpenGL, and Vulkan. However, all components of the driver stack must match versions within a release. For instance, you cannot take a release of the source code, build, and run it with the user-mode stack from a previous or future release.
For more information about installing the right versions and additional troubleshooting steps, see the driver README.
Installation opt-in
The R515 release contains precompiled versions of both the closed-source driver and the open-source kernel modules. These versions are mutually exclusive, and you can make the choice at install time. The default option ensures that silent installs pick the optimal path for NVIDIA Volta and older GPUs compared to NVIDIA Turing+ GPUs.
You can build kernel modules from the source code and install them with the relevant user-mode drivers.
Partner ecosystem
NVIDIA has been working with Canonical, Red Hat, and SUSE for better packaging, deployment, and support models for our mutual customers.
Canonical
“The new NVIDIA open-source GPU kernel modules will simplify installs and increase security for Ubuntu users, whether they’re AI/ML developers, gamers, or cloud users,” commented Cindy Goldberg, VP of Silicon alliances at Canonical. “As the makers of Ubuntu, the most popular Linux-based operating system for developers, we can now provide even better support to developers working at the cutting edge of AI and ML by enabling even closer integration with NVIDIA GPUs on Ubuntu.”
In the coming months, the NVIDIA Open GPU kernel modules will make their way into the recently launched Canonical Ubuntu 22.04 LTS.
SUSE
“We at SUSE are excited that NVIDIA is releasing their GPU kernel-mode driver as open source. This is a true milestone for the open-source community and accelerated computing. SUSE is proud to be the first major Linux distribution to deliver this breakthrough with SUSE Linux Enterprise 15 SP4 in June. Together, NVIDIA and SUSE power your GPU-accelerated computing needs across cloud, data center, and edge with a secure software supply chain and excellence in support.” — Markus Noga, General Manager, Business Critical Linux at SUSE
Red Hat
“Enterprise open source can spur innovation and improve customers’ experience, something that Red Hat has always championed. We applaud NVIDIA’s decision to open source its GPU kernel driver. Red Hat has collaborated with NVIDIA for many years, and we are excited to see them take this next step. We look forward to bringing these capabilities to our customers and to improve interoperability with NVIDIA hardware.” — Mike McGrath, Vice President, Linux Engineering at Red Hat
Upstream approach
NVIDIA GPU drivers have been designed over the years to share code across operating systems, GPUs and Jetson SOCs so that we can provide a consistent experience across all our supported platforms. The current codebase does not conform to the Linux kernel design conventions and is not a candidate for Linux upstream.
There are plans to work on an upstream approach with the Linux kernel community and partners such as Canonical, Red Hat, and SUSE.
In the meantime, published source code serves as a reference to help improve the Nouveau driver. Nouveau can leverage the same firmware used by the NVIDIA driver, exposing many GPU functionalities, such as clock management and thermal management, bringing new features to the in-tree Nouveau driver.
Stay tuned for more developments in future driver releases and collaboration on GitHub.
Frequently asked questions
Where can I download the R515 driver?
You can download the R515 development driver as part of CUDA Toolkit 11.7, or from the driver downloads page under “Beta” drivers. The R515 data center driver will follow in subsequent releases per our usual cadence.
Can open GPU kernel modules be distributed?
Yes, the NVIDIA open kernel modules are licensed under a dual GPL/MIT license and the terms of licenses govern the distribution and repackaging grants.
Will the source for user-mode drivers such as CUDA be published?
These changes are for the kernel modules, while the user-mode components are untouched. The user-mode remains closed source and is published with prebuilt binaries in the driver and the CUDA toolkit.
Which GPUs are supported by open GPU kernel modules?
Open kernel modules support all NVIDIA Ampere and Turing architecture GPUs. Datacenter GPUs are supported for production, and support for GeForce and Workstation GPUs is alpha quality. For more information, see the Datacenter, NVIDIA RTX, and GeForce CUDA GPUs product tables (NVIDIA Turing and later GPUs have compute capability of 7.5 or greater).
How to report bugs
Problems can be reported through the GitHub repository issue tracker or through our existing end-user support forum. Please report security issues through the channels listed on the GitHub repository security policy.
What is the process for patch submission and SLA/CLA for patches?
We encourage community submissions through pull requests on the GitHub page. The submitted patches will be reviewed and if approved, integrated with possible modifications into a future driver release. For more information, see the NVIDIA driver lifecycle document.
The published source code is a snapshot generated from a shared codebase, so contributions may not be reflected as separate Git commits in the GitHub repo. We are working on a process for acknowledging community contributions. We also advise against making significant reformatting of the code for the same reasons.
The process for submitting pull requests is described on the NVIDIA/open-gpu-kernel-modules GitHub page and such contributions are covered under the Contributor License Agreement.
For more information, see the open GPU kernel modules NVIDIA/open-gpu-kernel-modules GitHub page.
Related resources
- GTC session: Connect with the Experts: GPU Performance Analysis and Optimization (Spring 2023)
- GTC session: NVIDIA Omniverse User Group Spring 2023 (Spring 2023)
- SDK: NVIDIA Windows Management Instrumentation Toolkit
- SDK: Nsight Compute
- Webinar: The Expanding Universe of NVIDIA-Certified Systems
- Webinar: Migrating to the NVIDIA License System (NLS) before Legacy Server End-of-Life
Свободный драйвер Nouveau для видеокарт Nvidia
Nouveаu – свободный драйвер для видеокарт Nvidiа с поддержкой 3D. Драйвер Nouveau по умолчанию уже установлен в Ubuntu. Драйвер содержится в пакете xserver-xorg-video-nouveau .
Обновление драйвера
Существует несколько способов обновления драйвера:
из PPA ppa:oibaf/graphics-drivers . В этом архиве содержатся последние версии драйвера. Собранные в этом репозитории драйвера включают в себя эксперементальные возможности.
из PPA ppa:xorg-edgers . При этом будет установлена последняя, и не всегда стабильная версия драйвера.
компилирование последней версии драйвера из исходников. В этом случае придется достаточно много скачать из сети, однако, сам процесс сборки, для опытных пользователей, не должен вызвать особых затруднений (конечно, если вы готовы пересобрать ядро).
Обновление из PPA
Этот репозиторий содержит разрабатываемую версию драйвера. В случае неправильной работы драйвера вы можете вернуться к стандартным драйверам при помощи утилиты ppa-purge.
Открыть терминал и ввести следующие команды:
sudo add-apt-repository ppa:oibaf/graphics-drivers
Установка из исходных кодов
Для начала следует установить необходимые пакеты для сборки ПО из исходных текстов, для этого в терминале выполняем команду:
sudo apt-get install linux-headers-`uname -r` build-essential gcc gawk libgettext-ruby-util libgettext-ruby1.8 libncurses5-dev libncursesw5-dev xmlto checkinstall
Шаг 1. Подготовка
Вам понадобятся исходные тексты последней версии ядра Linux, библиотек Mesа и DRM, а также самого драйвера Nouveau. Также, если вы используете Ubuntu 10.04 или более старый релиз, вам необходимо установить Х-server версии 1.8.0 и новее. Можете установить его из ppa:xorg-edgers.
Обратите внимание, что если вы решили скачать ядро с официального сайта, то вам необходима самая последняя версия ядра, скорее всего, все еще находящаяся в разработке
Шаг 2. Компиляция нового ядра
После скачивания исходников ядра, необходимо его скомпилировать и установить, как это сделать можно узнать в статье HOW-TO: Сборка ядра Linux, не забудьте в разделе «Stаging drivers» включить Nouveаu.
Шаг 3. Компиляция и установка libdrm
Далее нужно скомпилировать и установить libdrm, для этого в терминале:
cd /папка_в_которой_лежат_исходники_libdrm ./configure --disable-intel --disable-radeon --enable-nouveau-experimental-api --prefix=/usr make sudo make install
Шаг 4. Компиляция и установка драйвера Nouveau
Для сборки драйвера выполните в терминале:
cd /папка_в_которой_лежат_исходники_nouveau ./configure --prefix=/usr make sudo make install
Шаг 5. Компиляция и установка Mesa
Теперь необходимо собрать новую версию Mesа. Это необходимо для поддержки 3D в драйвере.
cd /папка_в_которой_лежат_исходники_mesa ./configure --enable-gallium-nouveau --without-demos --with-dri-drivers=swrast,nouveau --disable-glx-tls --disable-asm --disable-egl --prefix=/usr make sudo make install
Шаг 6. Настройка Xorg
sudo gedit /etc/X11/xorg.conf
И добавляем следующие строки:
Section "DRI" Mode "0666" EndSection
Рекомендуется: Запрещает самому X-серверу использовать 3D-ускорение. Рекомендуется разработчиками Nouveau. Вы не сможете использовать эффекты Compiz (KWin в KDE может работать через движок XRender):
Section "ServerFlags" Option "AIGLX" "off" EndSection
Шаг 7. Проверка работоспособности драйвера
Проверяем работает ли драйвер, для этого в терминале выполняем:
Вы должны увидеть что-то вроде:
OpenGL renderer string: Gallium 0.4 on NV98
Это означает, что драйвер работает и все выполнено правильно.