Nvidia Driver Version 526.47

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youwill get the version of the nVIDIA driver package installed through your distribution's packaging mechanism. But this may not be the version that is actually running as part of your kernel right now.

Many Linux distributions provide their own packages of the NVIDIA Linux Graphics Driver in the distribution's native package management format. This may interact better with the rest of your distribution's framework, and you may want to use this rather than NVIDIA's official package.

Note: Many Linux distributions provide their own packages of the NVIDIA Linux Graphics Driver in the distribution's native package management format. This may interact better with the rest of your distribution's framework, and you may want to use this rather than NVIDIA's official package.

Enterprise customers with a current Virtual GPU (vGPU) software license (NVIDIA vPC, NVIDIA vApps or NVIDIA RTX Virtual Workstation (vWS), can log into the enterprise software download portal by clicking below. Need more information about how to access your purchased licenses? vGPU Software Downloads Details.

Production Branch/Studio Most users select this choice for optimal stability and performance. The NVIDIA RTX Enterprise Production Branch driver is a rebrand of the Quadro Optimal Driver for Enterprise (ODE). It offers the same ISV certification, long life-cycle support, regular security updates, and access to the same functionality as prior Quadro ODE drivers and corresponding Studio Drivers (i.e., of the same driver version number).

New Feature Branch (NFB)/Quadro New Feature (QNF) Users occasionally select this choice for access to new features, bug fixes, new operating system support, and other driver enhancements offered between Production Branch releases. Support duration for New Feature Branches is shorter than that for Production Branches.

"NFB / SLB" New Feature Branch (NFB) [formerly known as Linux Short Lived Branch (SLB)] New Feature Branch Linux drivers provide early adopters and bleeding edge developers access to the latest driver features before they are integrated into the Production Branches.

dpkg -l grep nvidia not required but just to check what versions are installed

sudo apt --purge remove "*nvidia*"

sudo ubuntu-drivers devices View all hardware NVidia devices which need drivers, and which packages

Since the Nvidia search tool can identify your current driver by your current kernel and configuration, there must be a table or database that shows the association between kernel revisions and driver revisions. I am try to find out what Linux kernel(s) supports the Nvidia driver version 525.105.17.

Nvidia drivers updates in linux are based on their windows counterparts development, not the linux kernels updates.

The way the installation of nvidia drivers is handled by various distributions makes them dependent on specific kernel versions, with for example DKMS being dependent on specific kernel versions in order to build correctly.

We already know three things.

5.xx may be the last kernel to support Nvidia driver rev 470.

5.xx does not and will not for the foreseeable future, support Nvidia driver rev 525.

5.15 will be supported until April 2027

The install failed because:

There are specific kernel / kernel headers / libraries / tools that work with specific Nvidia driver revisions. Most of those caused a variety of errors when looking at the resultant nvidia-bug-report.log.gz (I will include)

I found the clues at this incredibly insightful web-page that has a mind boggling amount of information and explanations. Waaayyy at the bottom, there is an instruction to use an existing script for getting the above nvidia-bug-report.log is divulged in a simple casual way that must have defied all standard internet search engines specifically to annoy ME!!! >.

That being said, I have reasons with the current status of Linux desktops now causing changes because of wayland, may have also created changes it the standard driver code as previously unsupported options and features suddenly become significant. Although, I do not currently use the wayland architecture, the day is coming when X11 will be completely retro. Some top end Linux distros have already made the move.

An update failed with the following error: ERROR: modpost: GPL-incompatible module nvidia.ko uses GPL-only symbol 'rcu_read_unlock_strict'The tail of the crash report follows: sh ./scripts/modules-check.sh...

Provide a small set of extensions to standard programming languages, like C, that enable a straightforward implementation of parallel algorithms. With CUDA C/C++, programmers can focus on the task of parallelization of the algorithms rather than spending time on their implementation.

Support heterogeneous computation where applications use both the CPU and GPU. Serial portions of applications are run on the CPU, and parallel portions are offloaded to the GPU. As such, CUDA can be incrementally applied to existing applications. The CPU and GPU are treated as separate devices that have their own memory spaces. This configuration also allows simultaneous computation on the CPU and GPU without contention for memory resources.

CUDA-capable GPUs have hundreds of cores that can collectively run thousands of computing threads. These cores have shared resources including a register file and a shared memory. The on-chip shared memory allows parallel tasks running on these cores to share data without sending it over the system memory bus.

The CUDA development environment relies on tight integration with the host development environment, including the host compiler and C runtime libraries, and is therefore only supported on distribution versions that have been qualified for this CUDA Toolkit release.

CUDA support for Ubuntu 20.04.x, Ubuntu 22.04.x, RHEL 8.x, RHEL 9.x, Rocky Linux 8.x, Rocky Linux 9.x, SUSE SLES 15.x and OpenSUSE Leap 15.x will be until the standard EOSS as defined for each OS. Please refer to the support lifecycle for these OSes to know their support timelines.

This document is intended for readers familiar with the Linux environment and the compilation of C programs from the command line. You do not need previous experience with CUDA or experience with parallel computation. Note: This guide covers installation only on systems with X Windows installed.

Many commands in this document might require superuser privileges. On most distributions of Linux, this will require you to log in as root. For systems that have enabled the sudo package, use the sudo prefix for all necessary commands.

The gcc compiler is required for development using the CUDA Toolkit. It is not required for running CUDA applications. It is generally installed as part of the Linux installation, and in most cases the version of gcc installed with a supported version of Linux will work correctly.

The CUDA Driver requires that the kernel headers and development packages for the running version of the kernel be installed at the time of the driver installation, as well whenever the driver is rebuilt. For example, if your system is running kernel version 3.17.4-301, the 3.17.4-301 kernel headers and development packages must also be installed.

While the Runfile installation performs no package validation, the RPM and Deb installations of the driver will make an attempt to install the kernel header and development packages if no version of these packages is currently installed. However, it will install the latest version of these packages, which may or may not match the version of the kernel your system is using. Therefore, it is best to manually ensure the correct version of the kernel headers and development packages are installed prior to installing the CUDA Drivers, as well as whenever you change the kernel version.

This is the version of the kernel headers and development packages that must be installed prior to installing the CUDA Drivers. This command will be used multiple times below to specify the version of the packages to install. Note that below are the common-case scenarios for kernel usage. More advanced cases, such as custom kernel branches, should ensure that their kernel headers and sources match the kernel build they are running.

If you perform a system update which changes the version of the Linux kernel being used, make sure to rerun the commands below to ensure you have the correct kernel headers and kernel development packages installed. Otherwise, the CUDA Driver will fail to work with the new kernel.

GDS is supported in two different modes: GDS (default/full perf mode) and Compatibility mode. Installation instructions for them differ slightly. Compatibility mode is the only mode that is supported on certain distributions due to software dependency limitations.

Starting with CUDA toolkit 12.2.2, GDS kernel driver package nvidia-gds version 12.2.2-1 (provided by nvidia-fs-dkms 2.17.5-1) and above is only supported with the NVIDIA open kernel driver. Follow the instructions in Removing CUDA Toolkit and Driver to remove existing NVIDIA driver packages and then follow instructions in NVIDIA Open GPU Kernel Modules to install NVIDIA open kernel driver packages.

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