<?xml version="1.0" encoding="utf-8"?>
<media_info><info fn="angband-data-shockbolt-4.2.5-1.mga9.nonfree.noarch"
 sourcerpm='angband-data-shockbolt-4.2.5-1.mga9.nonfree.src.rpm'
 url='https://rephial.org/'
 license='Freeware'>
This package contains the nonfree Shockbolt tileset for Angband,
whose license restricts modifications and usage with any other product
than Angband.

This package is meant to be installed with the angband binary package.
</info><info fn="cuda-z-0.11.291-12.mga9.nonfree.x86_64"
 sourcerpm='cuda-z-0.11.291-12.mga9.nonfree.src.rpm'
 url='https://cuda-z.sourceforge.net/'
 license='GPLv3'>
CUDA-Z shows some basic information about CUDA-enabled GPUs and
GPGPUs. It works with nVIDIA Geforce, Quadro and Tesla cards, ION
chipsets.

CUDA-Z shows the following information:

    - Installed CUDA driver and dll version.
    - GPU core capabilities.
    - Integer and float point calculation performance.
    - Performance of double-precision operations if GPU is capable.
    - memory size and bandwidth.

This program also exports collected information to HTML format and
plain text file.
</info><info fn="nvidia-cuda-toolkit-samples-bins-12.9.1-1.mga9.nonfree.x86_64"
 sourcerpm='nvidia-cuda-toolkit-samples-bins-12.9.1-1.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/cuda/'
 license='Freeware'>
NVIDIA® CUDA™ is a general purpose parallel computing architecture
that leverages the parallel compute engine in NVIDIA graphics
processing units (GPUs) to solve many complex computational problems
in a fraction of the time required on a CPU. It includes the CUDA
Instruction Set Architecture (ISA) and the parallel compute engine in
the GPU. To program to the CUDA™ architecture, developers can, today,
use C++, one of the most widely used high-level programming languages,
which can then be run at great performance on a CUDA™ enabled
processor. Support for other languages, like FORTRAN, Python or Java,
is available from third parties.

This package contains the binaries of the numerous CUDA code samples
(formerly CUDA SDK).
</info><info fn="nvidia-nsight-12.9.1-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-cuda-toolkit-12.9.1-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/cuda/'
 license='Freeware'>
NVIDIA® CUDA™ is a general purpose parallel computing architecture
that leverages the parallel compute engine in NVIDIA graphics
processing units (GPUs) to solve many complex computational problems
in a fraction of the time required on a CPU. It includes the CUDA
Instruction Set Architecture (ISA) and the parallel compute engine in
the GPU. To program to the CUDA™ architecture, developers can, today,
use C++, one of the most widely used high-level programming languages,
which can then be run at great performance on a CUDA™ enabled
processor. Support for other languages, like FORTRAN, Python or Java,
is available from third parties.

This package contains Nsight Eclipse Edition, a full-featured CUDA IDE.
</info><info fn="nvidia-visual-profiler-12.9.1-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-cuda-toolkit-12.9.1-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/cuda/'
 license='Freeware'>
NVIDIA® CUDA™ is a general purpose parallel computing architecture
that leverages the parallel compute engine in NVIDIA graphics
processing units (GPUs) to solve many complex computational problems
in a fraction of the time required on a CPU. It includes the CUDA
Instruction Set Architecture (ISA) and the parallel compute engine in
the GPU. To program to the CUDA™ architecture, developers can, today,
use C++, one of the most widely used high-level programming languages,
which can then be run at great performance on a CUDA™ enabled
processor. Support for other languages, like FORTRAN, Python or Java,
is available from third parties.

This package contains NVIDIA Visual Profiler for CUDA and OpenCL.
</info><info fn="nvidia-cuda-toolkit-12.9.1-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-cuda-toolkit-12.9.1-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/cuda/'
 license='Freeware'>
NVIDIA® CUDA™ is a general purpose parallel computing architecture
that leverages the parallel compute engine in NVIDIA graphics
processing units (GPUs) to solve many complex computational problems
in a fraction of the time required on a CPU. It includes the CUDA
Instruction Set Architecture (ISA) and the parallel compute engine in
the GPU. To program to the CUDA™ architecture, developers can, today,
use C++, one of the most widely used high-level programming languages,
which can then be run at great performance on a CUDA™ enabled
processor. Support for other languages, like FORTRAN, Python or Java,
is available from third parties.

This package contains the libraries and attendant files needed to run
programs that make use of CUDA™.
</info><info fn="nvidia-cuda-toolkit-devel-root-dir-12.9.1-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-cuda-toolkit-12.9.1-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/cuda/'
 license='Freeware'>
The CUDA™ Toolkit can be installed in two ways: scattered across system
libraries or non-scattered. In the first case, files and libraries are
distributed across /usr/include, /usr/lib64, and other system directories.
However, configuration utilities may fail to detect this setup and might prefer
a non-scattered installation, where all toolkit files are installed in a
single directory. To enable configuration utilities to operate in a
non-scattered setup, an alternative installation method is provided in this
package. In this case, the CUDA_PATH or CUDA_TOOLKIT_ROOT_DIR environment
variables must be set to /usr/lib64/cuda-toolkit-root-dir.

If you require using the CUDA™ Toolkit in a non-scattered setup, install this
package.
</info><info fn="nvidia-cuda-toolkit-samples-12.9.1-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-cuda-toolkit-12.9.1-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/cuda/'
 license='Freeware'>
NVIDIA® CUDA™ is a general purpose parallel computing architecture
that leverages the parallel compute engine in NVIDIA graphics
processing units (GPUs) to solve many complex computational problems
in a fraction of the time required on a CPU. It includes the CUDA
Instruction Set Architecture (ISA) and the parallel compute engine in
the GPU. To program to the CUDA™ architecture, developers can, today,
use C++, one of the most widely used high-level programming languages,
which can then be run at great performance on a CUDA™ enabled
processor. Support for other languages, like FORTRAN, Python or Java,
is available from third parties.

This package contains numerous CUDA code samples (formerly CUDA SDK).
</info><info fn="nvidia-cuda-toolkit-devel-12.9.1-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-cuda-toolkit-12.9.1-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/cuda/'
 license='Freeware'>
NVIDIA® CUDA™ is a general purpose parallel computing architecture
that leverages the parallel compute engine in NVIDIA graphics
processing units (GPUs) to solve many complex computational problems
in a fraction of the time required on a CPU. It includes the CUDA™
Instruction Set Architecture (ISA) and the parallel compute engine in
the GPU. To program to the CUDA™ architecture, developers can, today,
use C++, one of the most widely used high-level programming languages,
which can then be run at great performance on a CUDA™ enabled
processor. Support for other languages, like FORTRAN, Python or Java,
is available from third parties.

This package contains the development files needed to build programs
that make use of CUDA™.
</info><info fn="nvidia-newfeature-cuda-opencl-575.64.05-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-newfeature-575.64.05-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
Cuda and OpenCL libraries for NVIDIA proprietary driver. This package is not
required for normal use, it provides libraries to use NVIDIA cards for High
Performance Computing (HPC).
</info><info fn="nvidia-newfeature-initramfs-575.64.05-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-newfeature-575.64.05-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
This package allows to install the nvidia-newfeature.ko and related sub-modules into
the initramfs boot image generated by dracut for early loading.

Install this package if you want the nvidia drivers loaded at boot as early as
possible (e.g. in the case the nvidia modules are loaded after the display
manager).
</info><info fn="nvidia-newfeature-all-575.64.05-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-newfeature-575.64.05-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
This is a meta-package and installs all the extra dependencies and recommended
additions for nvidia-newfeature driver.
</info><info fn="nvidia-newfeature-utils-575.64.05-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-newfeature-575.64.05-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
Utilities for NVIDIA proprietary driver. Currently provides nvidia-smi and
nvidia-persistenced so they can be used with cuda without X.
</info><info fn="nvidia-newfeature-lib32-575.64.05-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-newfeature-575.64.05-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
This package installs the libglvnd library dependencies required for
the 32bit version of NVidia libraries.

Install it if you plan to use 32bit software involving GL libraries, such as
32bit games (note that you need to enable the 32bit media sources).
</info><info fn="dkms-nvidia-newfeature-575.64.05-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-newfeature-575.64.05-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
NVIDIA kernel module for New Features supported cards. This
is to be used with the x11-driver-video-nvidia-newfeature package.
</info><info fn="dkms-nvidia-newfeature-open-575.64.05-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-newfeature-575.64.05-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
NVIDIA kernel module for New Features supported cards. This is to be used with the x11-driver-video-nvidia-newfeature
package. This is the the open flavor of kernel modules.

Only cards of arch Turing and beyond are supported by this kernel module.
</info><info fn="nvidia-newfeature-doc-html-575.64.05-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-newfeature-575.64.05-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
HTML version of the README.txt file provided in package
x11-driver-video-nvidia-newfeature.
</info><info fn="x11-driver-video-nvidia-newfeature-575.64.05-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-newfeature-575.64.05-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
NVIDIA proprietary X.org graphics driver, related libraries and
configuration tools for New Features supported cards,
including the associated Quadro cards.

NOTE: You should use XFdrake to configure your NVIDIA card. The
correct packages will be automatically installed and configured.

If you do not want to use XFdrake, see README.manual-setup.

This NVIDIA driver should be used with New Features supported cards,
including the associated Quadro cards.
</info><info fn="nvidia-newfeature-devel-575.64.05-4.mga9.nonfree.x86_64"
 sourcerpm='nvidia-newfeature-575.64.05-4.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
NVIDIA OpenGL/CUDA headers for New Features supported cards. This package
is not required for normal use.
</info><info fn="nvidia-current-lib32-580.126.09-1.mga9.nonfree.x86_64"
 sourcerpm='nvidia-current-580.126.09-1.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
This package installs the libglvnd library dependencies required for
the 32bit version of NVidia libraries.

Install it if you plan to use 32bit software involving GL libraries, such as
32bit games (note that you need to enable the 32bit media sources).
</info><info fn="nvidia-current-cuda-opencl-580.126.09-1.mga9.nonfree.x86_64"
 sourcerpm='nvidia-current-580.126.09-1.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
Cuda and OpenCL libraries for NVIDIA proprietary driver. This package is not
required for normal use, it provides libraries to use NVIDIA cards for High
Performance Computing (HPC).
</info><info fn="nvidia-current-initramfs-580.126.09-1.mga9.nonfree.x86_64"
 sourcerpm='nvidia-current-580.126.09-1.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
This package allows to install the nvidia-current.ko and related sub-modules into
the initramfs boot image generated by dracut for early loading.

Install this package if you want the nvidia drivers loaded at boot as early as
possible (e.g. in the case the nvidia modules are loaded after the display
manager).
</info><info fn="nvidia-current-utils-580.126.09-1.mga9.nonfree.x86_64"
 sourcerpm='nvidia-current-580.126.09-1.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
Utilities for NVIDIA proprietary driver. Currently provides nvidia-smi and
nvidia-persistenced so they can be used with cuda without X.
</info><info fn="dkms-nvidia-current-580.126.09-1.mga9.nonfree.x86_64"
 sourcerpm='nvidia-current-580.126.09-1.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
NVIDIA kernel module for GeForce 745 and later cards. This
is to be used with the x11-driver-video-nvidia-current package.
</info><info fn="nvidia-current-all-580.126.09-1.mga9.nonfree.x86_64"
 sourcerpm='nvidia-current-580.126.09-1.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
This is a meta-package and installs all the extra dependencies and recommended
additions for nvidia-current driver.
</info><info fn="x11-driver-video-nvidia-current-580.126.09-1.mga9.nonfree.x86_64"
 sourcerpm='nvidia-current-580.126.09-1.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
NVIDIA proprietary X.org graphics driver, related libraries and
configuration tools for GeForce 745 and later cards,
including the associated Quadro cards.

NOTE: You should use XFdrake to configure your NVIDIA card. The
correct packages will be automatically installed and configured.

If you do not want to use XFdrake, see README.manual-setup.

This NVIDIA driver should be used with GeForce 745 and later cards,
including the associated Quadro cards.
</info><info fn="nvidia-current-doc-html-580.126.09-1.mga9.nonfree.x86_64"
 sourcerpm='nvidia-current-580.126.09-1.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
HTML version of the README.txt file provided in package
x11-driver-video-nvidia-current.
</info><info fn="dkms-nvidia-current-open-580.126.09-1.mga9.nonfree.x86_64"
 sourcerpm='nvidia-current-580.126.09-1.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
NVIDIA kernel module for GeForce 745 and later cards. This is to be used with the x11-driver-video-nvidia-current
package. This is the the open flavor of kernel modules.

Only cards of arch Turing and beyond are supported by this kernel module.
</info><info fn="nvidia-current-devel-580.126.09-1.mga9.nonfree.x86_64"
 sourcerpm='nvidia-current-580.126.09-1.mga9.nonfree.src.rpm'
 url='https://www.nvidia.com/object/unix.html'
 license='Freeware'>
NVIDIA OpenGL/CUDA headers for GeForce 745 and later cards. This package
is not required for normal use.
</info></media_info>
