# packages

pkgId: b6e232d3039733b0a093b4125d256588258984cfaf0882431e7bdb2b208c4b9a
name: compat-nvidia-repo
arch: src
version: 555.58.02
epoch: 3
release: 1.el9
summary: Compatibility package required by official CUDA packages
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: compat-nvidia-repo-555.58.02-1.el9.src.rpm
checksum_type: sha256
description:
  Nvidia drivers metapackage required by official CUDA packages. It pulls in all
  Nvidia driver components.


pkgId: 2147015b5982afbd3fda2c0fe09eccef147c0708eaf0f4c5948bf13c190e376d
name: cuda
arch: src
version: 12.5.82
epoch: 1
release: 1.el9
summary: NVIDIA Compute Unified Device Architecture Toolkit
url: https://developer.nvidia.com/cuda-zone
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-12.5.82-1.el9.src.rpm
checksum_type: sha256
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).


pkgId: 01c410727e015297383ff6d162a4cd7f5f9e4173eeea8db04f69523968cc5f7a
name: cuda-cudnn
arch: src
version: 9.2.1.18
epoch: 1
release: 1.el9
summary: NVIDIA CUDA Deep Neural Network library (cuDNN)
url: https://developer.nvidia.com/cudnn
rpm_license: NVIDIA Software Development Kit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-cudnn-9.2.1.18-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 9426891091fd5a49116e811bc9655ae583fc91dafd2dcf6721c213f7a8659c94
name: cuda-cuobjdump
arch: src
version: 12.5.39
epoch: 1
release: 1.el9
summary: Utility to extract information from CUDA binary files
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-cuobjdump-12.5.39-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 2e193c22ae2a13d170d1fc3157263ec6bb038e1aa8fc15004824fe14ad97c902
name: cuda-cupti
arch: src
version: 12.5.82
epoch: 1
release: 1.el9
summary: NVIDIA CUDA Profiling Tools Interface (CUPTI) library
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-cupti-12.5.82-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 9dfbb2c5a2bb7600d9f84416821a3858cc4ba27615bb9f8d9e9bd447fff064c2
name: cuda-gdb
arch: src
version: 12.5.82
epoch: 1
release: 1.el9
summary: CUDA GDB
url: https://developer.nvidia.com/cuda-toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-gdb-12.5.82-1.el9.src.rpm
checksum_type: sha256
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.

rpm_license:
  GPLv3+ and GPLv3+ with exceptions and GPLv2+ and GPLv2+ with exceptions and GPL+ and LGPLv2+ and LGPLv3+ and BSD and Public Domain and GFDL


pkgId: c94d7bd097182f08b3fe46671d897014f6d2677b3a195a9b2a9e850770cd846a
name: cuda-nvcc
arch: src
version: 12.5.82
epoch: 1
release: 1.el9
summary: CUDA Compiler (NVCC)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-nvcc-12.5.82-1.el9.src.rpm
checksum_type: sha256
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.

  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.


pkgId: 90183132b308c2c0536ed8ba8acbe553818237c8b405c0a0b6672161029e1d36
name: cuda-nvdisasm
arch: src
version: 12.5.39
epoch: 1
release: 1.el9
summary: Utility to extract information from CUDA binary files
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-nvdisasm-12.5.39-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 31a8bff25fcd93b9d42ec17e8d57077e565317411ea4a152401ca72b648bb808
name: cuda-nvml
arch: src
version: 12.5.82
epoch: 1
release: 1.el9
summary: NVIDIA Management library (NVML)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-nvml-12.5.82-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 1e2173c49614b026c50dbd9b73544ac1315713f044434cc0c017b4b7f7c7988c
name: cuda-nvprof
arch: src
version: 12.5.82
epoch: 1
release: 1.el9
summary: CUDA command line profiling tool
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-nvprof-12.5.82-1.el9.src.rpm
checksum_type: sha256
description:
  The nvprof profiling tool enables you to collect and view profiling data from
  the command-line.

  Note that Visual Profiler and nvprof will be deprecated in a future CUDA
  release. The NVIDIA Volta platform is the last architecture on which these tools
  are fully supported. It is recommended to use next-generation tools NVIDIA
  Nsight Systems for GPU and CPU sampling and tracing and NVIDIA Nsight Compute
  for GPU kernel profiling.


pkgId: 9b09286a8d2b2bf8ecc1a785e04f42e90d57248ac1a872985c00d1e021405480
name: cuda-nvprune
arch: src
version: 12.5.82
epoch: 1
release: 1.el9
summary: CUDA nvprune
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-nvprune-12.5.82-1.el9.src.rpm
checksum_type: sha256
description:
  nvprune prunes host object files and libraries to only contain device code for
  the specified targets.


pkgId: cfbea3d6361fe6da11d56a973f49035573b83bc19c225603bd21ccfaec090145
name: cuda-nvrtc
arch: src
version: 12.5.82
epoch: 1
release: 1.el9
summary: CUDA runtime compilation library (NVRTC)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-nvrtc-12.5.82-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 327c543c483b8efbd524f30f05144ffc0b90229d97d1eef79bf7c7cc06932a46
name: cuda-nvtx
arch: src
version: 12.5.82
epoch: 1
release: 1.el9
summary: NVIDIA Tools Extension (NVTX) library
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-nvtx-12.5.82-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: ef4c2725f9a91c1f93bffbb36e4e72ee46c8042347164d9195e5ed4b350d624f
name: cuda-sanitizer
arch: src
version: 12.5.81
epoch: 1
release: 1.el9
summary: CUDA Compute Sanitizer API
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-sanitizer-12.5.81-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 9a7798cc29b8d4d1a0f3dd6e565c302bba8cee8cde9ef0dd21251f4e57ad4577
name: dkms-nvidia
arch: src
version: 555.58.02
epoch: 3
release: 1.el9
summary: NVIDIA display driver kernel module
url: http://www.nvidia.com/object/unix.html
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: dkms-nvidia-555.58.02-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 8c9940a7bb68e0dcacdc893a6b01051e644ddeb2b7eab2318424b9e46a83dac9
name: egl-wayland
arch: src
version: 1.1.13
epoch: 0
release: 2.el9
summary: EGLStream-based Wayland external platform
url: https://github.com/NVIDIA/egl-wayland
rpm_license: MIT
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: egl-wayland-1.1.13-2.el9.src.rpm
checksum_type: sha256
description:
  EGL External Platform library to add client-side Wayland support to EGL on top
  of EGLDevice and EGLStream families of extensions.

  This library implements an EGL External Platform interface to work along with
  EGL drivers that support the external platform mechanism.


pkgId: a417199c60c20f099e1936e08a60d75a5719666516900b04791a6a7e908fb91c
name: imex
arch: src
version: 555.42.06
epoch: 0
release: 1.el9
summary: NVIDIA Imex daemon
url: http://nvidia.com
rpm_license: NVIDIA Proprietary
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: imex-555.42.06-1.el9.src.rpm
checksum_type: sha256
description:
  Imex process is a privileged/system client of Resource Manager and will
  facilitate the mapping of GPU memory (over NVLink) between GPUs via the memory
  import and export mechanisms.


pkgId: 0a320040723e6c9ac258d67d8a4c87902c86c7013410d31873948315e618d301
name: libcublas
arch: src
version: 12.5.3.2
epoch: 1
release: 1.el9
summary: NVIDIA CUDA Basic Linear Algebra Subroutines (cuBLAS) libraries
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libcublas-12.5.3.2-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 6aa8847f6c21275a59b5705fce22c4fd8807c29febfb4e499fe79a9791ec4874
name: libcufft
arch: src
version: 11.2.3.61
epoch: 2
release: 1.el9
summary: NVIDIA CUDA Fast Fourier Transform library (cuFFT) libraries
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libcufft-11.2.3.61-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: fb3517c05ce823f69fa9094de69328b523f17098509c7e39f6bdd7156b799c54
name: libcufile
arch: src
version: 1.10.1.7
epoch: 1
release: 1.el9
summary: NVIDIA GPUDirect Storage library (cuFile)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libcufile-1.10.1.7-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: e1f9d25a2262f91ea06b15c64a7a653f0a0ec7fa671544c1517ad944127d12ef
name: libcurand
arch: src
version: 10.3.6.82
epoch: 2
release: 1.el9
summary: NVIDIA CUDA Random Number Generation library (cuRAND)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libcurand-10.3.6.82-1.el9.src.rpm
checksum_type: sha256
description:
  The NVIDIA CUDA Random Number Generation library (cuRAND) delivers high
  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.


pkgId: ef6da5ac160e0ba20a89f9019acc9d74c62bc732955f24a355d4c91f7ea33caf
name: libcusolver
arch: src
version: 11.6.3.83
epoch: 2
release: 1.el9
summary: NVIDIA cuSOLVER library
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libcusolver-11.6.3.83-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: cd6365187b59df322e2bb5615148f63a7b26f497a3389edad2b48175765d3b9b
name: libcusparse
arch: src
version: 12.5.1.3
epoch: 1
release: 1.el9
summary: NVIDIA CUDA Sparse Matrix library (cuSPARSE) library
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libcusparse-12.5.1.3-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 0402149eb7961f43bda7560c5d4b44fdd930eb6a81d8fadb3a5ecf71c1511ab4
name: libcusparselt
arch: src
version: 0.6.1.0
epoch: 0
release: 1.el9
summary: CUDA Library for Sparse Matrix-Matrix Multiplication
url: https://docs.nvidia.com/cuda/cusparselt/index.html
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libcusparselt-0.6.1.0-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 69025d8d3eceb46f743d9e0975e781e38a22f0f60cf217e9603c85229329ee4a
name: libnpp
arch: src
version: 12.3.0.159
epoch: 1
release: 1.el9
summary: NVIDIA Performance Primitives libraries
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libnpp-12.3.0.159-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: c25ad13f9e9690fe5b17f2f56713bd6722de3eae97154ff8a8c589e5cef44e03
name: libnvfatbin
arch: src
version: 12.5.82
epoch: 1
release: 1.el9
summary: CUDA Fatbin Creator API
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libnvfatbin-12.5.82-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 25f595108fa5568ffcee3cf6cd62020a57c0bd662af991b5e053b3b8b5583e33
name: libnvidia-nscq
arch: src
version: 555.42.06
epoch: 1
release: 1.el9
summary: NVSwitch Configuration and Query Library (NSCQ)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: NVIDIA Driver
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libnvidia-nscq-555.42.06-1.el9.src.rpm
checksum_type: sha256
description:
  The NSCQ library currently provides topology information of the NVSwitches and
  GPUs to clients of the library such as DCGM.


pkgId: 63891040e73d9b352ea65756004cbb5a4479c2a5c677a40a7b4209439794b196
name: libnvjitlink
arch: src
version: 12.5.82
epoch: 1
release: 1.el9
summary: NVIDIA compiler library for JIT LTO functionality
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libnvjitlink-12.5.82-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: ceef35d8f8edf90b99520aa56638bd929665b00f9b0e9fade87c2d047588bf48
name: libnvjpeg
arch: src
version: 12.3.2.81
epoch: 1
release: 1.el9
summary: CUDA NVIDIA JPEG decoder (nvJPEG)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libnvjpeg-12.3.2.81-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 8ebd4e7e8439c1dd821fc39865ca38839b75bf85d59920c548379f38e50e7b6a
name: libnvjpeg2k
arch: src
version: 0.8.0.38
epoch: 0
release: 1.el9
summary: NVIDIA JPEG 2K decoder (nvJPEG2000)
url: https://developer.nvidia.com/nvjpeg
rpm_license: NVIDIA EULA
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libnvjpeg2k-0.8.0.38-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: c188f11720b5e2310376c74c52558c9786a996be9d9b3e7265080eb4146f070e
name: libvdpau
arch: src
version: 1.5
epoch: 0
release: 11.el9
summary: Wrapper library for the Video Decode and Presentation API
url: https://www.freedesktop.org/wiki/Software/VDPAU/
rpm_license: MIT
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libvdpau-1.5-11.el9.src.rpm
checksum_type: sha256
description:
  VDPAU is the Video Decode and Presentation API for UNIX. It provides an
  interface to video decode acceleration and presentation hardware present in
  modern GPUs.


pkgId: a5a96bfa76d2427fcefc7d3f107194bf47420272a66c0c05327dac7c7bbb21cf
name: nvidia-driver
arch: src
version: 555.58.02
epoch: 3
release: 3.el9
summary: NVIDIA's proprietary display driver for NVIDIA graphic cards
url: http://www.nvidia.com/object/unix.html
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: nvidia-driver-555.58.02-3.el9.src.rpm
checksum_type: sha256
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 555.58.02.


pkgId: 387190e2bcf18b827c64cbdff75f0eefdb5941c977c4f853df693028c3a08ab8
name: nvidia-kmod
arch: src
version: 555.58.02
epoch: 3
release: 1.el9
summary: NVIDIA display driver kernel module
url: http://www.nvidia.com/
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: nvidia-kmod-555.58.02-1.el9.src.rpm
checksum_type: sha256
description:
  This package provides the proprietary NVIDIA OpenGL kernel driver module.
  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.


pkgId: 6de7fc0bcfc73f867c425cd8b85ea14875907f1fe0d8541059ec2deef17f984a
name: nvidia-modprobe
arch: src
version: 555.58.02
epoch: 3
release: 1.el9
summary: NVIDIA kernel module loader
url: http://www.nvidia.com/object/unix.html
rpm_license: GPLv2+
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: nvidia-modprobe-555.58.02-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 65cd68c7f7547b90a40e44a17a97bc160df45572e0f2619a601428880b56e4c7
name: nvidia-persistenced
arch: src
version: 555.58.02
epoch: 3
release: 1.el9
summary: A daemon to maintain persistent software state in the NVIDIA driver
url: http://www.nvidia.com/object/unix.html
rpm_license: GPLv2+
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: nvidia-persistenced-555.58.02-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 868122f63b00cc5ab5fba5f9ae3ea28c1b362d6fe086876a72618b80189caadf
name: nvidia-sdk-optix
arch: src
version: 8.0.0
epoch: 0
release: 1.el9
summary: NVIDIA OptiX Ray Tracing Engine APIs
url: https://developer.nvidia.com/optix
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: nvidia-sdk-optix-8.0.0-1.el9.src.rpm
checksum_type: sha256
description:
  An application framework for achieving optimal ray tracing performance on the
  GPU. It provides a simple, recursive, and flexible pipeline for accelerating ray
  tracing algorithms. Bring the power of NVIDIA GPUs to your ray tracing
  applications with programmable intersection, ray generation, and shading.

rpm_license:
  https://developer.download.nvidia.com/designworks/DesignWorks_SDKs_Samples_Tools_License_distrib_use_rights_2017_06_13.pdf


pkgId: b57ff8ced7b4906ed03592c24d1de04a0c087bb3d89887c235a4e3bcc824c921
name: nvidia-sdk-video-codec
arch: src
version: 12.1.14
epoch: 1
release: 1.el9
summary: A comprehensive set of APIs for hardware accelerated video encode and decode
url: https://developer.nvidia.com/video-codec-sdk
rpm_license: DESIGNWORKS NVIDIA SDKS, SAMPLES AND TOOLS AGREEMENT, DISTRIBUTION RIGHTS (V.13.06.2017)
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: nvidia-sdk-video-codec-12.1.14-1.el9.src.rpm
checksum_type: sha256
description:
  The SDK consists of two hardware acceleration interfaces:

      NVENCODE API for video encode acceleration
      NVDECODE API for video decode acceleration

  NVIDIA GPUs contain one or more hardware-based decoder and encoder(s) (separate
  from the CUDA cores) which provides fully-accelerated hardware-based video
  decoding and encoding for several popular codecs. With decoding/encoding
  offloaded, the graphics engine and the CPU are free for other operations.

  GPU hardware accelerator engines for video decoding (referred to as NVDEC) and
  video encoding (referred to as NVENC) support faster than real-time video
  processing which makes them suitable to be used for transcoding applications, in
  addition to video playback.


pkgId: eb9c145871b12314a1f52c832bc2673fd323e062b607ccdfac6b93a5918d735c
name: nvidia-settings
arch: src
version: 555.58.02
epoch: 3
release: 1.el9
summary: Configure the NVIDIA graphics driver
url: http://www.nvidia.com/object/unix.html
rpm_license: GPLv2+
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: nvidia-settings-555.58.02-1.el9.src.rpm
checksum_type: sha256
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.


pkgId: 17ba0171c90c19c49c69a88b733613c9e4884cb4a4f419ff5670a7d8de563906
name: nvidia-xconfig
arch: src
version: 555.58.02
epoch: 3
release: 1.el9
summary: NVIDIA X configuration file editor
url: http://www.nvidia.com/object/unix.html
rpm_license: GPLv2+
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: nvidia-xconfig-555.58.02-1.el9.src.rpm
checksum_type: sha256
description:
  nvidia-xconfig is a command line tool intended to provide basic control over
  configuration options available in the NVIDIA X driver.


