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  <description>CXX Core Compute Libraries.</description>
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  <description>Nvidia drivers metapackage required by official CUDA packages. It pulls in all
Nvidia driver components.</description>
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  <description>Nvidia drivers metapackage required by official CUDA packages. It pulls in all
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  <description>CUDA is a parallel computing platform and programming model that enables
dramatic increases in computing performance by harnessing the power of the
graphics processing unit (GPU).</description>
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  <description>CUDA crt Compiler for CUDA applications.</description>
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  <description>CUDA Runtime (cudart).</description>
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  <description>The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated
library of primitives for deep neural networks. cuDNN provides highly tuned
implementations for standard routines such as forward and backward convolution,
pooling, normalization, and activation layers. cuDNN is part of the NVIDIA Deep
Learning SDK.</description>
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  <url>https://developer.nvidia.com/cudnn</url>
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  <summary>CUDA Culibos Math development library</summary>
  <description>CUDA CULIBOS is a Math Libraries fork of the cuos library.</description>
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  <url>https://developer.nvidia.com/cuda-toolkit</url>
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  <summary>Utility to extract information from CUDA binary files</summary>
  <description>cuobjdump extracts information from CUDA binary files (both standalone and those
embedded in host binaries) and presents them in human readable format. The
output of cuobjdump includes CUDA assembly code for each kernel, CUDA ELF
section headers, string tables, relocators and other CUDA specific sections. It
also extracts embedded ptx text from host binaries.</description>
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  <url>https://developer.nvidia.com/cuda-toolkit</url>
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  <summary>NVIDIA CUDA Profiling Tools Interface (CUPTI) library</summary>
  <description>The NVIDIA CUDA Profiling Tools Interface (CUPTI) provides performance analysis
tools with detailed information about how applications are using the GPUs in a
system.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
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  <description>CUDA cuxxfilt (demangler).</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
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<package type="rpm">
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  <summary>CUDA GDB</summary>
  <description>CUDA-GDB is the NVIDIA tool for debugging CUDA applications. It's an extension
to GDB, the GNU Project debugger. The tool provides developers with a mechanism
for debugging CUDA applications running on actual hardware. This enables
developers to debug applications without the potential variations introduced by
simulation and emulation environments.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
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<package type="rpm">
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  <arch>src</arch>
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  <summary>CUDA Compiler (NVCC)</summary>
  <description>The compilation trajectory involves several splitting, compilation,
preprocessing, and merging steps for each CUDA source file. It is the purpose of
nvcc, the CUDA compiler driver, to hide the intricate details of CUDA
compilation from developers. It accepts a range of conventional compiler
options, such as for defining macros and include/library paths, and for steering
the compilation process. All non-CUDA compilation steps are forwarded to a C++
host compiler that is supported by nvcc, and nvcc translates its options to
appropriate host compiler command line options.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
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<package type="rpm">
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  <arch>src</arch>
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  <checksum type="sha256" pkgid="YES">17fcc5794269c8d8ac756dd596a6acff00b8b2548a23894a7069a29da447af51</checksum>
  <summary>Utility to extract information from CUDA binary files</summary>
  <description>nvdisasm extracts information from standalone cubin files and presents them in
human readable format. The output of nvdisasm includes CUDA assembly code for
each kernel, listing of ELF data sections and other CUDA specific sections.
Output style and options are controlled through nvdisasm command-line options.
nvdisasm also does control flow analysis to annotate jump/branch targets and
makes the output easier to read.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
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<package type="rpm">
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  <arch>src</arch>
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  <summary>NVIDIA Management library (NVML)</summary>
  <description>A C-based API for monitoring and managing various states of the NVIDIA GPU
devices. It provides a direct access to the queries and commands exposed via
nvidia-smi. The runtime version of NVML ships with the NVIDIA display driver.

Each new version of NVML is backwards compatible and is intended to be a
platform for building 3rd party applications.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
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<package type="rpm">
  <name>cuda-nvprune</name>
  <arch>src</arch>
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  <checksum type="sha256" pkgid="YES">3a1443f233c7d0b520f5ea7224d00f25c60475f52773581fce3dcfa311fccb7d</checksum>
  <summary>CUDA nvprune</summary>
  <description>nvprune prunes host object files and libraries to only contain device code for
the specified targets.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
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</package>
<package type="rpm">
  <name>cuda-nvrtc</name>
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  <summary>CUDA runtime compilation library (NVRTC)</summary>
  <description>NVRTC is a runtime compilation library for CUDA C++. It accepts CUDA C++ source
code in character string form and creates handles that can be used to obtain
the PTX. The PTX string generated by NVRTC can be loaded by cuModuleLoadData and
cuModuleLoadDataEx, and linked with other modules by cuLinkAddData of the CUDA
Driver API. This facility can often provide optimizations and performance not
possible in a purely offline static compilation.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
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    <rpm:license>CUDA Toolkit</rpm:license>
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    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="13354"/>
    <rpm:provides>
      <rpm:entry name="cuda-nvrtc" flags="EQ" epoch="1" ver="13.3.33" rel="1.el10"/>
      <rpm:entry name="cuda-nvrtc-devel" flags="EQ" epoch="1" ver="13.3.33" rel="1.el10"/>
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</package>
<package type="rpm">
  <name>cuda-nvtx</name>
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  <version epoch="1" ver="13.3.29" rel="1.el10"/>
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  <summary>NVIDIA Tools Extension (NVTX) library</summary>
  <description>A C-based API for annotating events, code ranges, and resources in your
applications. Applications which integrate NVTX can use the Visual Profiler to
capture and visualize these events and ranges.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233712" build="1786187848"/>
  <size package="210527" installed="200531" archive="201224"/>
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    <rpm:header-range start="4504" end="12326"/>
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<package type="rpm">
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  <checksum type="sha256" pkgid="YES">b57c6aac92263e4daa311e5c2f05a27fcaa1d5f3b735949d2bfd85be4eb29dba</checksum>
  <summary>CUDA Profiler API</summary>
  <description>NVIDIA CUDA API for profiling.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233715" build="1786187864"/>
  <size package="27348" installed="19123" archive="19544"/>
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    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="9034"/>
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      <rpm:entry name="cuda-profiler-devel" flags="EQ" epoch="1" ver="13.3.27" rel="1.el10"/>
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</package>
<package type="rpm">
  <name>cuda-sandbox</name>
  <arch>src</arch>
  <version epoch="1" ver="13.3.29" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">e56784080d846a96ef97368b37500ee504aac16813e0078cc62c300ebe3e4a7c</checksum>
  <summary>CUDA nvsandboxutils</summary>
  <description>A C-based API for monitoring and managing various states of the NVIDIA GPU
devices. It provides a direct access to the queries and commands exposed via
nvidia-smi. The runtime version of NVML ships with the NVIDIA display driver.

Each new version of NVML is backwards compatible and is intended to be a
platform for building 3rd party applications.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233716" build="1786187876"/>
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    <rpm:license>CUDA Toolkit</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="10143"/>
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      <rpm:entry name="cuda-sandbox-devel" flags="EQ" epoch="1" ver="13.3.29" rel="1.el10"/>
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</package>
<package type="rpm">
  <name>cuda-sanitizer</name>
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  <version epoch="1" ver="13.3.75" rel="1.el10"/>
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  <summary>CUDA Compute Sanitizer API</summary>
  <description>Compute Sanitizer is a functional correctness checking suite included in the
CUDA toolkit. It provides a set of API's to enable third party tools to write
GPU sanitizing tools, such as memory and race checkers.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233718" build="1786187887"/>
  <size package="18410078" installed="18394486" archive="18395076"/>
  <location href="cuda-sanitizer-13.3.75-1.el10.src.rpm"/>
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    <rpm:license>CUDA Toolkit</rpm:license>
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    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
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    <rpm:header-range start="4504" end="12881"/>
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</package>
<package type="rpm">
  <name>cuda-tileiras</name>
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  <version epoch="1" ver="13.3.36" rel="1.el10"/>
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  <summary>NVIDIA CUDA TileIR</summary>
  <description>A portable, low-level tile virtual machine and instruction set that models the
GPU as a tile-based processor. Unlike the traditional SIMT machine model, Tile
IR enables native programming of hardware in terms of tiles (multi-dimensional
array fragments).

Tile IR offers a high-level yet explicit target for code generation that
abstracts away generation-specific hardware details while exposing the massive
parallelism of the GPU for next-generation compute frameworks in a stable and
versioned manner.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
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    <rpm:license>CUDA Toolkit</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="9335"/>
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</package>
<package type="rpm">
  <name>dkms-nvidia</name>
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  <version epoch="3" ver="610.43.03" rel="1.el10"/>
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  <description>This package provides the proprietary Nvidia kernel driver modules.
The modules are rebuilt through the DKMS system when a new kernel or modules
become available.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/object/unix.html</url>
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    <rpm:license>NVIDIA License</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
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    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
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</package>
<package type="rpm">
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  <summary>NVIDIA display driver kernel module</summary>
  <description>This package provides the proprietary Nvidia kernel driver modules.
The modules are rebuilt through the DKMS system when a new kernel or modules
become available.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/object/unix.html</url>
  <time file="1786156065" build="1786139370"/>
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<package type="rpm">
  <name>kmod-nvidia</name>
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  <version epoch="3" ver="610.43.03" rel="1.el10"/>
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  <description>This package provides the proprietary NVIDIA kernel modules. It is built to
depend upon the specific ABI provided by a range of releases of the same variant
of the Linux kernel and not on any one specific build.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/</url>
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      <rpm:entry name="gcc-c++"/>
      <rpm:entry name="kernel-abi-stablelists"/>
      <rpm:entry name="kernel-devel"/>
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      <rpm:entry name="kmod"/>
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</package>
<package type="rpm">
  <name>kmod-nvidia</name>
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  <version epoch="3" ver="610.57.04" rel="1.el10"/>
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  <description>This package provides the proprietary NVIDIA kernel modules. It is built to
depend upon the specific ABI provided by a range of releases of the same variant
of the Linux kernel and not on any one specific build.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/</url>
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<package type="rpm">
  <name>libcublas</name>
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  <summary>NVIDIA CUDA Basic Linear Algebra Subroutines (cuBLAS) libraries</summary>
  <description>The NVIDIA CUDA Basic Linear Algebra Subroutines (cuBLAS) library is a
GPU-accelerated version of the complete standard BLAS library that delivers 6x
to 17x faster performance than the latest MKL BLAS.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
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      <rpm:entry name="libcublas" flags="EQ" epoch="1" ver="13.6.0.2" rel="1.el10"/>
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<package type="rpm">
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  <summary>NVIDIA CUDA Fast Fourier Transform library (cuFFT) libraries</summary>
  <description>The NVIDIA CUDA Fast Fourier Transform libraries (cuFFT) provide a simple
interface for computing FFTs up to 10x faster.  By using hundreds of processor
cores inside NVIDIA GPUs, cuFFT delivers the floating‐point performance of a
GPU without having to develop your own custom GPU FFT implementation.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233763" build="1786189218"/>
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</package>
<package type="rpm">
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  <summary>NVIDIA GPUDirect Storage library (cuFile)</summary>
  <description>NVIDIA GPUDirect Storage library is used in applications and frameworks to
leverage GDS technology and describes the intent, context, and operation of
those APIs, which are part of the GDS technology.

NVIDIA® Magnum IO GPUDirect® Storage (GDS) is part of the GPUDirect family. GDS
enables a direct data path for direct memory access (DMA) transfers between GPU
memory and storage, which avoids a bounce buffer through the CPU. This direct
path increases system bandwidth and decreases the latency and utilization load
on the CPU.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
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<package type="rpm">
  <name>libcuobjclient</name>
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  <summary>NVIDIA CUDA cuObject Client</summary>
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  <url>https://developer.nvidia.com/cuda-toolkit</url>
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<package type="rpm">
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performance GPU-accelerated random number generation (RNG). The cuRAND library
delivers high quality random numbers 8x faster using hundreds of processor
cores available in NVIDIA GPUs.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233788" build="1786189673"/>
  <size package="174335697" installed="174280144" archive="174280836"/>
  <location href="libcurand-10.4.3.29-1.el10.src.rpm"/>
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    <rpm:license>CUDA Toolkit</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="13340"/>
    <rpm:provides>
      <rpm:entry name="libcurand" flags="EQ" epoch="2" ver="10.4.3.29" rel="1.el10"/>
      <rpm:entry name="libcurand-devel" flags="EQ" epoch="2" ver="10.4.3.29" rel="1.el10"/>
      <rpm:entry name="libcurand-static" flags="EQ" epoch="2" ver="10.4.3.29" rel="1.el10"/>
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</package>
<package type="rpm">
  <name>libcusolver</name>
  <arch>src</arch>
  <version epoch="2" ver="12.2.6.9" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">5dedba1b306575fd90a5e6e08960abec67ad3e30dfbfe5a9761b86f684a2268a</checksum>
  <summary>NVIDIA cuSOLVER library</summary>
  <description>The NVIDIA cuSOLVER library provides a collection of dense and sparse direct
solvers which deliver significant acceleration for Computer Vision, CFD,
Computational Chemistry, and Linear Optimization applications.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233797" build="1786189821"/>
  <size package="668223536" installed="668307125" archive="668307824"/>
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    <rpm:license>CUDA Toolkit</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="13134"/>
    <rpm:provides>
      <rpm:entry name="libcusolver" flags="EQ" epoch="2" ver="12.2.6.9" rel="1.el10"/>
      <rpm:entry name="libcusolver-devel" flags="EQ" epoch="2" ver="12.2.6.9" rel="1.el10"/>
      <rpm:entry name="libcusolver-static" flags="EQ" epoch="2" ver="12.2.6.9" rel="1.el10"/>
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</package>
<package type="rpm">
  <name>libcusparse</name>
  <arch>src</arch>
  <version epoch="1" ver="12.8.2.51" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">63ffc6c06abcb37288bcb3ed3bc1a2594b85bc451ef5fd9950aafa3064e4b878</checksum>
  <summary>NVIDIA CUDA Sparse Matrix library (cuSPARSE) library</summary>
  <description>The NVIDIA CUDA Sparse Matrix library (cuSPARSE) provides a collection of basic
linear algebra subroutines used for sparse matrices that delivers up to 8x
faster performance than the latest MKL. The cuSPARSE library is designed to be
called from C or C++, and the latest release includes a sparse triangular
solver.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233813" build="1786190136"/>
  <size package="619039584" installed="619062813" archive="619063512"/>
  <location href="libcusparse-12.8.2.51-1.el10.src.rpm"/>
  <format>
    <rpm:license>CUDA Toolkit</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="13289"/>
    <rpm:provides>
      <rpm:entry name="libcusparse" flags="EQ" epoch="1" ver="12.8.2.51" rel="1.el10"/>
      <rpm:entry name="libcusparse-devel" flags="EQ" epoch="1" ver="12.8.2.51" rel="1.el10"/>
      <rpm:entry name="libcusparse-static" flags="EQ" epoch="1" ver="12.8.2.51" rel="1.el10"/>
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</package>
<package type="rpm">
  <name>libcusparselt</name>
  <arch>src</arch>
  <version epoch="0" ver="0.9.1.1" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">623af48291767574167e609beaba6fd4f740862265b0af1c37783e7ba436c184</checksum>
  <summary>CUDA Library for Sparse Matrix-Matrix Multiplication</summary>
  <description>NVIDIA cuSPARSELt is a high-performance CUDA library dedicated to general
matrix-matrix operations in which at least one operand is a sparse matrix.

The cuSPARSELt APIs allow flexibility in the algorithm/operation selection,
epilogue, and matrix characteristics, including memory layout, alignment, and
data types.</description>
  <packager>negativo17.org</packager>
  <url>https://docs.nvidia.com/cuda/cusparselt/index.html</url>
  <time file="1786233824" build="1786214136"/>
  <size package="747198115" installed="747270045" archive="747270640"/>
  <location href="libcusparselt-0.9.1.1-1.el10.src.rpm"/>
  <format>
    <rpm:license>NVIDIA License</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="11617"/>
    <rpm:provides>
      <rpm:entry name="libcusparselt" flags="EQ" epoch="0" ver="0.9.1.1" rel="1.el10"/>
      <rpm:entry name="libcusparselt-devel" flags="EQ" epoch="0" ver="0.9.1.1" rel="1.el10"/>
      <rpm:entry name="libcusparselt-static" flags="EQ" epoch="0" ver="0.9.1.1" rel="1.el10"/>
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</package>
<package type="rpm">
  <name>libnpp</name>
  <arch>src</arch>
  <version epoch="1" ver="13.1.2.81" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">ee3cc38d1d0c1ba31ec00f550038cd34f780ffd8a846a568dfb3b6c4817ac7c4</checksum>
  <summary>NVIDIA Performance Primitives libraries</summary>
  <description>The NVIDIA Performance Primitives library (NPP) is a collection of
GPU-accelerated image, video, and signal processing functions that deliver 5x
to 10x faster performance than comparable CPU-only implementations. Using NPP,
developers can take advantage of over 1900 image processing and approx 600
signal processing primitives to achieve significant improvements in application
performance in a matter of hours.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233845" build="1786190406"/>
  <size package="492916251" installed="492922924" archive="492925080"/>
  <location href="libnpp-13.1.2.81-1.el10.src.rpm"/>
  <format>
    <rpm:license>CUDA Toolkit</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="16768"/>
    <rpm:provides>
      <rpm:entry name="libnpp" flags="EQ" epoch="1" ver="13.1.2.81" rel="1.el10"/>
      <rpm:entry name="libnpp-devel" flags="EQ" epoch="1" ver="13.1.2.81" rel="1.el10"/>
      <rpm:entry name="libnpp-static" flags="EQ" epoch="1" ver="13.1.2.81" rel="1.el10"/>
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</package>
<package type="rpm">
  <name>libnvfatbin</name>
  <arch>src</arch>
  <version epoch="1" ver="13.3.29" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">4135fd3eb346c99434f6d9fbc0d8da559a7b3d9edff9cd42bcbbb623832c4e7b</checksum>
  <summary>CUDA Fatbin Creator API</summary>
  <description>The Fatbin Creator APIs are a set of APIs which can be used at runtime to
combine multiple CUDA objects into one CUDA fat binary (fatbin).

The functionality in this library is similar to the fatbinary offline tool in
the CUDA toolkit, with the following advantages:

 - Support for runtime fatbin creation.
 - The clients get fine grain control and can specify separate options for each
   fatbinary.
 - Supports direct input from memory, rather than requiring inputs be written to
   files.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233857" build="1786190662"/>
  <size package="915095" installed="904583" archive="905280"/>
  <location href="libnvfatbin-13.3.29-1.el10.src.rpm"/>
  <format>
    <rpm:license>CUDA Toolkit</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="11905"/>
    <rpm:provides>
      <rpm:entry name="libnvfatbin" flags="EQ" epoch="1" ver="13.3.29" rel="1.el10"/>
      <rpm:entry name="libnvfatbin-devel" flags="EQ" epoch="1" ver="13.3.29" rel="1.el10"/>
      <rpm:entry name="libnvfatbin-static" flags="EQ" epoch="1" ver="13.3.29" rel="1.el10"/>
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</package>
<package type="rpm">
  <name>libnvjitlink</name>
  <arch>src</arch>
  <version epoch="1" ver="13.3.33" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">53231b5d21dd4c8c7c054a05b94cd5262a6dc7e9789600aee9a1051893df4036</checksum>
  <summary>NVIDIA compiler library for JIT LTO functionality</summary>
  <description>NVJIT link compiler LTO functionality native runtime library.
Just-in-time link-time-optimization (JIT LTO) allows developers to proved
runtime linking of specialized kernel functions with no-call overhead.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233862" build="1786190678"/>
  <size package="107951584" installed="107909710" archive="107910408"/>
  <location href="libnvjitlink-13.3.33-1.el10.src.rpm"/>
  <format>
    <rpm:license>CUDA Toolkit</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="12192"/>
    <rpm:provides>
      <rpm:entry name="libnvjitlink" flags="EQ" epoch="1" ver="13.3.33" rel="1.el10"/>
      <rpm:entry name="libnvjitlink-devel" flags="EQ" epoch="1" ver="13.3.33" rel="1.el10"/>
      <rpm:entry name="libnvjitlink-static" flags="EQ" epoch="1" ver="13.3.33" rel="1.el10"/>
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</package>
<package type="rpm">
  <name>libnvjpeg</name>
  <arch>src</arch>
  <version epoch="1" ver="13.2.1.68" rel="1.el10"/>
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  <summary>CUDA NVIDIA JPEG decoder (nvJPEG)</summary>
  <description>nvJPEG is a high-performance GPU-accelerated library for JPEG decoding. nvJPEG
supports decoding of single and batched images, color space conversion, multiple
phase decoding, and hybrid decoding using both CPU and GPU. Applications that
rely on nvJPEG for decoding deliver higher throughput and lower latency JPEG
decode compared CPU-only decoding.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233868" build="1786190864"/>
  <size package="7286106" installed="7274625" archive="7275316"/>
  <location href="libnvjpeg-13.2.1.68-1.el10.src.rpm"/>
  <format>
    <rpm:license>CUDA Toolkit</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="12863"/>
    <rpm:provides>
      <rpm:entry name="libnvjpeg" flags="EQ" epoch="1" ver="13.2.1.68" rel="1.el10"/>
      <rpm:entry name="libnvjpeg-devel" flags="EQ" epoch="1" ver="13.2.1.68" rel="1.el10"/>
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</package>
<package type="rpm">
  <name>libnvjpeg2k</name>
  <arch>src</arch>
  <version epoch="0" ver="0.11.0.51" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">bd33490700b25a5f4cdfc915967c4bb967ec90bf5b978e07cc46ec212a378679</checksum>
  <summary>NVIDIA JPEG 2K decoder (nvJPEG2000)</summary>
  <description>The nvJPEG2000 library accelerates the decoding of JPEG 2000 images on NVIDIA
GPUs. The library utilizes both CPU and GPU for decoding. Tier 2 decode stage
(First stage of decode, refer to the JPEG 2000 specification for details.) is
run on the CPU. All other stages of the decoding process are offloaded to the
GPU.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/nvjpeg</url>
  <time file="1786233870" build="1786210354"/>
  <size package="8753716" installed="8745910" archive="8746624"/>
  <location href="libnvjpeg2k-0.11.0.51-1.el10.src.rpm"/>
  <format>
    <rpm:license>NVIDIA EULA</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="11875"/>
    <rpm:provides>
      <rpm:entry name="libnvjpeg2k" flags="EQ" epoch="0" ver="0.11.0.51" rel="1.el10"/>
      <rpm:entry name="libnvjpeg2k-devel" flags="EQ" epoch="0" ver="0.11.0.51" rel="1.el10"/>
      <rpm:entry name="libnvjpeg2k-static" flags="EQ" epoch="0" ver="0.11.0.51" rel="1.el10"/>
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</package>
<package type="rpm">
  <name>libnvptxcompiler-devel</name>
  <arch>src</arch>
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  <checksum type="sha256" pkgid="YES">547727df5c60831383a9733d0cd860f710fddfdd5160ae2b479e301cb49c36e1</checksum>
  <summary>CUDA nvptxcompiler</summary>
  <description>Compiler IR for CUDA applications.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233878" build="1786190883"/>
  <size package="20022715" installed="20008673" archive="20009268"/>
  <location href="libnvptxcompiler-devel-13.3.73-1.el10.src.rpm"/>
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    <rpm:license>CUDA Toolkit</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="9054"/>
    <rpm:provides>
      <rpm:entry name="libnvptxcompiler-devel" flags="EQ" epoch="1" ver="13.3.73" rel="1.el10"/>
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</package>
<package type="rpm">
  <name>libnvvm</name>
  <arch>src</arch>
  <version epoch="0" ver="13.3.73" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">bd1181b75f63c265dd171cc2cb5cc66a9be938965a46b751b35d5ebbb77ad562</checksum>
  <summary>CUDA NVVM</summary>
  <description>NVVM IR is a compiler IR (intermediate representation) based on the LLVM IR.
The NVVM IR is designed to represent GPU compute kernels (for example, CUDA
kernels). High-level language front-ends, like the CUDA C compiler front-end,
can generate NVVM IR. The NVVM compiler (which is based on LLVM) generates PTX
code from NVVM IR.</description>
  <packager>negativo17.org</packager>
  <url>https://developer.nvidia.com/cuda-toolkit</url>
  <time file="1786233880" build="1786190953"/>
  <size package="93868243" installed="93831166" archive="93831724"/>
  <location href="libnvvm-13.3.73-1.el10.src.rpm"/>
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    <rpm:license>CUDA Toolkit</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
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      <rpm:entry name="libnvvm" flags="EQ" epoch="0" ver="13.3.73" rel="1.el10"/>
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<package type="rpm">
  <name>nvidia-driver</name>
  <arch>src</arch>
  <version epoch="3" ver="610.43.03" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">886665a1a20c2caec32c306c81d7f4a034210d4d2e5ebfd889b51442159baf26</checksum>
  <summary>NVIDIA's proprietary display driver for NVIDIA graphic cards</summary>
  <description>This package provides the most recent NVIDIA display driver which allows for
hardware accelerated rendering with recent NVIDIA chipsets.

For the full product support list, please consult the release notes for driver
version 610.43.03.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/object/unix.html</url>
  <time file="1783589319" build="1783506757"/>
  <size package="548527535" installed="548362457" archive="548364132"/>
  <location href="nvidia-driver-610.43.03-1.el10.src.rpm"/>
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    <rpm:license>NVIDIA License</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
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    <rpm:provides>
      <rpm:entry name="nvidia-driver" flags="EQ" epoch="3" ver="610.43.03" rel="1.el10"/>
      <rpm:entry name="nvidia-driver-libs" flags="EQ" epoch="3" ver="610.43.03" rel="1.el10"/>
      <rpm:entry name="nvidia-driver-cuda-libs" flags="EQ" epoch="3" ver="610.43.03" rel="1.el10"/>
      <rpm:entry name="libnvidia-fbc" flags="EQ" epoch="3" ver="610.43.03" rel="1.el10"/>
      <rpm:entry name="nvidia-driver-common" flags="EQ" epoch="3" ver="610.43.03" rel="1.el10"/>
      <rpm:entry name="nvidia-driver-cuda" flags="EQ" epoch="3" ver="610.43.03" rel="1.el10"/>
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    <rpm:requires>
      <rpm:entry name="libappstream-glib"/>
      <rpm:entry name="python3"/>
      <rpm:entry name="systemd-rpm-macros"/>
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</package>
<package type="rpm">
  <name>nvidia-driver</name>
  <arch>src</arch>
  <version epoch="3" ver="610.57.04" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">6b2fe18bd32ca9f6c3e60c96254bdad5f7c8974a36301e20dbc88e3c9826ab4c</checksum>
  <summary>NVIDIA's proprietary display driver for NVIDIA graphic cards</summary>
  <description>This package provides the most recent NVIDIA display driver which allows for
hardware accelerated rendering with recent NVIDIA chipsets.

For the full product support list, please consult the release notes for driver
version 610.57.04.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/object/unix.html</url>
  <time file="1786156072" build="1786144748"/>
  <size package="550470311" installed="550305577" archive="550307252"/>
  <location href="nvidia-driver-610.57.04-1.el10.src.rpm"/>
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    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="31632"/>
    <rpm:provides>
      <rpm:entry name="nvidia-driver" flags="EQ" epoch="3" ver="610.57.04" rel="1.el10"/>
      <rpm:entry name="nvidia-driver-libs" flags="EQ" epoch="3" ver="610.57.04" rel="1.el10"/>
      <rpm:entry name="nvidia-driver-cuda-libs" flags="EQ" epoch="3" ver="610.57.04" rel="1.el10"/>
      <rpm:entry name="libnvidia-fbc" flags="EQ" epoch="3" ver="610.57.04" rel="1.el10"/>
      <rpm:entry name="nvidia-driver-common" flags="EQ" epoch="3" ver="610.57.04" rel="1.el10"/>
      <rpm:entry name="nvidia-driver-cuda" flags="EQ" epoch="3" ver="610.57.04" rel="1.el10"/>
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    <rpm:requires>
      <rpm:entry name="libappstream-glib"/>
      <rpm:entry name="python3"/>
      <rpm:entry name="systemd-rpm-macros"/>
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</package>
<package type="rpm">
  <name>nvidia-driver-selinux</name>
  <arch>src</arch>
  <version epoch="0" ver="0.1" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">2a5fdb45efc0fbc5fe86dc63a164db4b16986a40eede9418248d42fe05094a79</checksum>
  <summary>NVIDIA driver SELinux module</summary>
  <description>NVIDIA driver SELinux policy module.</description>
  <packager>negativo17.org</packager>
  <url>https://negativo17.org</url>
  <time file="1773771104" build="1773769114"/>
  <size package="11184" installed="2086" archive="2600"/>
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    <rpm:group>Unspecified</rpm:group>
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    <rpm:provides>
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    <rpm:requires>
      <rpm:entry name="pkgconfig(systemd)"/>
      <rpm:entry name="selinux-policy"/>
      <rpm:entry name="selinux-policy-devel"/>
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</package>
<package type="rpm">
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  <checksum type="sha256" pkgid="YES">3399e1ffb33e5ac86f07b7703c4a742a5d04eab6ff0035904ec4b01df37c6977</checksum>
  <summary>NVIDIA driver SELinux module</summary>
  <description>NVIDIA driver SELinux policy module.</description>
  <packager>negativo17.org</packager>
  <url>https://negativo17.org</url>
  <time file="1773918069" build="1773918001"/>
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</package>
<package type="rpm">
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  <checksum type="sha256" pkgid="YES">7fd86d62ab200e6a017c3f263dca11d9061e0b5dc2a01914fffeb4ef5f6cbe9a</checksum>
  <summary>NVIDIA display driver kernel module</summary>
  <description>The NVidia 610.43.03 display driver kernel module for kernel 6.12.0-211.30.1.el10_2.aarch64.</description>
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  <url>http://www.nvidia.com/object/unix.html</url>
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    <rpm:license>NVIDIA License</rpm:license>
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    <rpm:group>Unspecified</rpm:group>
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    <rpm:sourcerpm></rpm:sourcerpm>
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      <rpm:entry name="kmod-nvidia" flags="EQ" epoch="3" ver="610.43.03" rel="1.el10"/>
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    <rpm:requires>
      <rpm:entry name="elfutils-libelf-devel"/>
      <rpm:entry name="gcc-c++"/>
      <rpm:entry name="kmodtool"/>
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</package>
<package type="rpm">
  <name>nvidia-kmod</name>
  <arch>src</arch>
  <version epoch="3" ver="610.57.04" rel="1.el10"/>
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  <summary>NVIDIA display driver kernel module</summary>
  <description>The NVidia 610.57.04 display driver kernel module for kernel 6.12.0-211.43.1.el10_2.aarch64.</description>
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  <url>http://www.nvidia.com/object/unix.html</url>
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  <location href="nvidia-kmod-610.57.04-1.el10.src.rpm"/>
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    <rpm:license>NVIDIA License</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
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      <rpm:entry name="akmod-nvidia" flags="EQ" epoch="3" ver="610.57.04" rel="1.el10"/>
      <rpm:entry name="kmod-nvidia" flags="EQ" epoch="3" ver="610.57.04" rel="1.el10"/>
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      <rpm:entry name="elfutils-libelf-devel"/>
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</package>
<package type="rpm">
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  <summary>Common file for NVIDIA's proprietary driver kernel modules</summary>
  <description>This package provides the common files required by all NVIDIA kernel module
package variants.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/object/unix.html</url>
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    <rpm:vendor>negativo17.org</rpm:vendor>
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      <rpm:entry name="nvidia-kmod-common" flags="EQ" epoch="3" ver="610.43.03" rel="1.el10"/>
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    <rpm:requires>
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</package>
<package type="rpm">
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  <summary>Common file for NVIDIA's proprietary driver kernel modules</summary>
  <description>This package provides the common files required by all NVIDIA kernel module
package variants.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/object/unix.html</url>
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    <rpm:license>NVIDIA License</rpm:license>
    <rpm:vendor>negativo17.org</rpm:vendor>
    <rpm:group>Unspecified</rpm:group>
    <rpm:buildhost>wks2.lab.negativo17.org</rpm:buildhost>
    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="18950"/>
    <rpm:provides>
      <rpm:entry name="nvidia-kmod-common" flags="EQ" epoch="3" ver="610.57.04" rel="1.el10"/>
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    <rpm:requires>
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</package>
<package type="rpm">
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  <arch>src</arch>
  <version epoch="3" ver="610.43.03" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">15d301311cad6489dbd5e164473fed5659eed20f8703cb38446f834652bdd329</checksum>
  <summary>NVIDIA kernel module loader</summary>
  <description>This utility is used by user-space NVIDIA driver components to make sure the
NVIDIA kernel modules are loaded and that the NVIDIA character device files are
present.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/object/unix.html</url>
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  <location href="nvidia-modprobe-610.43.03-1.el10.src.rpm"/>
  <format>
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    <rpm:vendor>negativo17.org</rpm:vendor>
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      <rpm:entry name="nvidia-modprobe-debugsource" flags="EQ" epoch="3" ver="610.43.03" rel="1.el10"/>
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    <rpm:requires>
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</package>
<package type="rpm">
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  <arch>src</arch>
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  <checksum type="sha256" pkgid="YES">a19f00f2d2fb85a93db57e648b875b298ae60051b3d9460bab1538939af71c38</checksum>
  <summary>NVIDIA kernel module loader</summary>
  <description>This utility is used by user-space NVIDIA driver components to make sure the
NVIDIA kernel modules are loaded and that the NVIDIA character device files are
present.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/object/unix.html</url>
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  <location href="nvidia-modprobe-610.57.04-1.el10.src.rpm"/>
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</package>
<package type="rpm">
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  <checksum type="sha256" pkgid="YES">08bbd8a8d1b548ed300cef8b165231eef34230ef96543d0ee56a633df53429c7</checksum>
  <summary>A daemon to maintain persistent software state in the NVIDIA driver</summary>
  <description>The nvidia-persistenced utility is used to enable persistent software state in the NVIDIA
driver. When persistence mode is enabled, the daemon prevents the driver from
releasing device state when the device is not in use. This can improve the
startup time of new clients in this scenario.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/object/unix.html</url>
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      <rpm:entry name="m4"/>
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</package>
<package type="rpm">
  <name>nvidia-persistenced</name>
  <arch>src</arch>
  <version epoch="3" ver="610.57.04" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">029f47f796e628edea11503bbd40eb21f87d785959700c9eb92d432c218c12c8</checksum>
  <summary>A daemon to maintain persistent software state in the NVIDIA driver</summary>
  <description>The nvidia-persistenced utility is used to enable persistent software state in the NVIDIA
driver. When persistence mode is enabled, the daemon prevents the driver from
releasing device state when the device is not in use. This can improve the
startup time of new clients in this scenario.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/object/unix.html</url>
  <time file="1786156102" build="1786145414"/>
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  <location href="nvidia-persistenced-610.57.04-1.el10.src.rpm"/>
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    <rpm:sourcerpm></rpm:sourcerpm>
    <rpm:header-range start="4504" end="19653"/>
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<package type="rpm">
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  <checksum type="sha256" pkgid="YES">997c9cb14f9007cece4387e58c339340e72ef6dc172e503f8e08ad318f4d4c79</checksum>
  <summary>Configure the NVIDIA graphics driver</summary>
  <description>The nvidia-settings utility is a tool for configuring the NVIDIA graphics
driver. It operates by communicating with the NVIDIA X driver, querying and
updating state as appropriate.

This communication is done with the NV-CONTROL X extension.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/object/unix.html</url>
  <time file="1783589354" build="1783507471"/>
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  <location href="nvidia-settings-610.43.03-1.el10.src.rpm"/>
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      <rpm:entry name="libXxf86vm-devel"/>
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      <rpm:entry name="m4"/>
      <rpm:entry name="mesa-libEGL-devel"/>
      <rpm:entry name="mesa-libGL-devel"/>
      <rpm:entry name="pkgconfig(gtk+-3.0)"/>
      <rpm:entry name="pkgconfig(wayland-client)"/>
      <rpm:entry name="vulkan-headers"/>
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</package>
<package type="rpm">
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  <arch>src</arch>
  <version epoch="3" ver="610.57.04" rel="1.el10"/>
  <checksum type="sha256" pkgid="YES">4fba67ccffda282685d44dd2809d4f48be62f9867ca80ac0de0feed229e4fe56</checksum>
  <summary>Configure the NVIDIA graphics driver</summary>
  <description>The nvidia-settings utility is a tool for configuring the NVIDIA graphics
driver. It operates by communicating with the NVIDIA X driver, querying and
updating state as appropriate.

This communication is done with the NV-CONTROL X extension.</description>
  <packager>negativo17.org</packager>
  <url>http://www.nvidia.com/object/unix.html</url>
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