# packages

pkgId: c1d0561b2a104da32b4ffa292ac2b381ea58a15d78a0ec64f1b8b9a49942768a
name: compat-nvidia-repo
arch: src
version: 555.58.02
epoch: 3
release: 1.el8
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.el8.src.rpm
checksum_type: sha256
description:
  Nvidia drivers metapackage required by official CUDA packages. It pulls in all
  Nvidia driver components.


pkgId: 850afea2d68039213c7d66c7e3c9128b761483744aab9375949a3e7286aef22c
name: cuda
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
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.el8.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: e2d03885cd8f0e4d1b845d53d9e58ccf396eebe13fa6d91e542ecf0d80ae4452
name: cuda-cudnn
arch: src
version: 9.2.1.18
epoch: 1
release: 1.el8
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.el8.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: 79b60ede9fc3a226ff007e441b69dcb34d1d6a38df2faf84820b05d91248f75d
name: cuda-cuobjdump
arch: src
version: 12.5.39
epoch: 1
release: 1.el8
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.el8.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: 2b0fd0f8186773312450d9552fdd0430e8512474d3107d36fd6cf80569931857
name: cuda-cupti
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
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.el8.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: 044fb0ab5867409a0a93da6f255e412a0df87bc40021eab4400daaa966caef7d
name: cuda-gdb
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
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.el8.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: eede125b18d41098c2eaa4daba3d4815ff5dbf415b0b70b2226a53a7dbd84cc1
name: cuda-nvcc
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
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.el8.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: 7982b1e104d6bca5b08c9f134706d3d1d7469a3bf09b12ed8a447b55c98394d8
name: cuda-nvdisasm
arch: src
version: 12.5.39
epoch: 1
release: 1.el8
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.el8.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: 8be20ba93a82f2d3422cd955fc8b17abddd7450450b8cae4921ab2b9bfdcc3f3
name: cuda-nvml
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
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.el8.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: 8b13d312ee1d3d9a381f440099d4dde4ef50a09893cd5c1e7fa09be46cc33cf1
name: cuda-nvprof
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
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.el8.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: 3d4884975c8f96885bee78a65485882da3bbc3544e41431b2f57c4a7cf230716
name: cuda-nvprune
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
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.el8.src.rpm
checksum_type: sha256
description:
  nvprune prunes host object files and libraries to only contain device code for
  the specified targets.


pkgId: 9a9d9590fc6ffa34b3b6e4a774ba66f14d52f1cd2d606d5826182da9f1f17f27
name: cuda-nvrtc
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
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.el8.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: 3b4aaee911d030aeaea7284d466b651d7ed19a021fa5f946003bba99a979d39a
name: cuda-nvtx
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
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.el8.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: a6bdd9fd8162d46c4af46dc945808b569c2f7e04ef5a29d7f3c878d098b739f1
name: cuda-sanitizer
arch: src
version: 12.5.81
epoch: 1
release: 1.el8
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.el8.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: 940610c7be934556695b96a253514f5877ec4b52536e77aef243a500445a525b
name: dkms-nvidia
arch: src
version: 555.58.02
epoch: 3
release: 1.el8
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.el8.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: c7006676964c73f7c7e03a8d2f86b85992dd8107951cd618763486c518b330d6
name: egl-wayland
arch: src
version: 1.1.13.1
epoch: 0
release: 2.el8
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-1.1.13.1-2.el8.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: f39226c702bd035f514b066afe57c821f6fe10bfa9c6871e3b2c7c84e42ff2ae
name: egl-x11
arch: src
version: 0.1
epoch: 0
release: 1.20240828git2be2296.el8
summary: NVIDIA XLib and XCB EGL Platform Library
url: https://github.com/NVIDIA/egl-x11
rpm_license: Apache-2.0
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: egl-x11-0.1-1.20240828git2be2296.el8.src.rpm
checksum_type: sha256
description:
  This is an EGL platform library for the NVIDIA driver to support XWayland via
  xlib (using EGL_KHR_platform_x11) or xcb (using EGL_EXT_platform_xcb).


pkgId: 40eccf3e47219c91c8073dd3b29f88e15f97bb4921de9cc54095e95e0291aa0d
name: imex
arch: src
version: 555.42.06
epoch: 0
release: 1.el8
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.el8.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: 3fd25177de383d80194b0e4b216a50c0471d41e980db158202c151e497c580f9
name: libcublas
arch: src
version: 12.5.3.2
epoch: 1
release: 1.el8
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.el8.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: 61e0ef66741bf14bd8f337f47e495e900feb2e785abaa4befa4821f5958f3939
name: libcufft
arch: src
version: 11.2.3.61
epoch: 2
release: 1.el8
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.el8.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: 6e18ef0feb2c71f89750ffed4dfd30000da15f3336a09e065efc46cc54bca043
name: libcufile
arch: src
version: 1.10.1.7
epoch: 1
release: 1.el8
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.el8.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: 1f22c7af9193bc799d3145dcd1314510451e2fa24bcc9d67f59c1d7b8e585345
name: libcurand
arch: src
version: 10.3.6.82
epoch: 2
release: 1.el8
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.el8.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: 80422a3592e10f0542ec1098a97c2cf210f9573baf939938c2a0e6cb39de568d
name: libcusolver
arch: src
version: 11.6.3.83
epoch: 2
release: 1.el8
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.el8.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: b8456a6aee8304f8efb2224c9047cf3adc06ca52fa5178746685b0d40bc4ed9b
name: libcusparse
arch: src
version: 12.5.1.3
epoch: 1
release: 1.el8
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.el8.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: 260a11d2be97a772e725f939a51f7bd9cfa5f468aa5945427f455267ebd2a293
name: libcusparselt
arch: src
version: 0.6.1.0
epoch: 0
release: 1.el8
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.el8.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: 69e2e097b6e40d88dfa30cee434586058ec445237eb5af162821e70c3be2f572
name: libnpp
arch: src
version: 12.3.0.159
epoch: 1
release: 1.el8
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.el8.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: c873bf791f381c9f951bc391bb3dd8aa62be643728170fcc3d54e81aa77caec1
name: libnvfatbin
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
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.el8.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: df9df649e5bb14bbee556973efd84c4cf7fb7484dc74bdb2f7a513e347806d47
name: libnvidia-nscq
arch: src
version: 555.42.06
epoch: 1
release: 1.el8
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.el8.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: 374139129f185b5ab979bbaa41e91cda1b468f0caef9e58563c143dd8848a5e6
name: libnvjitlink
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
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.el8.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: 616134ae3506caccff012f107692ff13d09609c79e202d1fcfd7bb735491e22b
name: libnvjpeg
arch: src
version: 12.3.2.81
epoch: 1
release: 1.el8
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.el8.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: 9c1d749a4984532e97d390bc2b95c9441be25ff91e668fe71b39df74fd673665
name: libnvjpeg2k
arch: src
version: 0.8.0.38
epoch: 0
release: 1.el8
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.el8.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: 3fd8dcde705150101bcf076dba0c1dca1b1f89c1fa3386a718ce9335a459b362
name: libvdpau
arch: src
version: 1.5
epoch: 0
release: 11.el8
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.el8.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: 1fdaa4b7ac342b2066c19c174312f6edd6870c3e46942f1d6fa02254442debce
name: nvidia-driver
arch: src
version: 555.58.02
epoch: 3
release: 3.el8
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.el8.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: f3adf6fd72264835372c617d5f46aa9b6f2d9e3e341ce264a4c198df04e91f80
name: nvidia-driver
arch: src
version: 560.35.03
epoch: 3
release: 2.el8
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-560.35.03-2.el8.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 560.35.03.


pkgId: 792df29d24ae01968c65acbb0e24c3d94e03890273c5d28bd020bf9645ab4f6b
name: nvidia-kmod
arch: src
version: 555.58.02
epoch: 3
release: 1.el8
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.el8.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: 9d589e79e16b940d588bd9224be3c5cd96792f642cb56e3c956e4e5cd5a6a981
name: nvidia-modprobe
arch: src
version: 555.58.02
epoch: 3
release: 1.el8
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.el8.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: a05cf3c0cb3a146faf90538eb83c8d7fa103ab1a0539ed4b1ab0a95da157526b
name: nvidia-persistenced
arch: src
version: 555.58.02
epoch: 3
release: 1.el8
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.el8.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: 98d86f0311a9fafcb509072d8b43d38b937e9389a1aec88365ab1e9e2b46da37
name: nvidia-sdk-optix
arch: src
version: 8.0.0
epoch: 0
release: 1.el8
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.el8.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: 91fd671e3218355f5a80c7f31cef9cd5effd7fba6fb9094dbe95f7385fe792ee
name: nvidia-sdk-video-codec
arch: src
version: 12.1.14
epoch: 1
release: 1.el8
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.el8.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: 8a4dfdf549b3c4faa421544fccac0e97adceb3129c8171f60c3339fbb6e81b77
name: nvidia-settings
arch: src
version: 555.58.02
epoch: 3
release: 1.el8
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.el8.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: be93d20c6cd3c5c141f5b571f07057f7ddbdb6d93cec375849570852d0f7a945
name: nvidia-xconfig
arch: src
version: 555.58.02
epoch: 3
release: 1.el8
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.el8.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.


