# packages

pkgId: d16080d95512919853a3fe351bf6276369707171b808e3513265c22f64e0dea8
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: 98f31301bddcf990291532306dba2706642c2fd93657b409e28837b7cfaa8c5d
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: e607f021eaaf156f87b069775e488a13eb95d0ed41a9823b540e3104d709dac3
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: 371db800fb3288644c4693506c8dfd077ed309bc07a2495bf27033818ff4d4c1
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: a5f922a36c920b66ea040269d5a36a6fdfb31313187a931157839085a69f9027
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: 8cfc87a63a633beda80565a15e9fb696690b15873f6ebdd74a202c7d785798c8
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: cfb91311f9339c3984d9c461a8c2a754d615d4690b7995b9ea109c1f91b9f3f2
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: 26e11b6aa343555b39905c5ef37a1d06ba81d1a61399e3106e06659bd5094d05
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: 574ff0a6ef214132ff4faaaa2b3a279c202309971a5eae1125f5b3fe6fda2eee
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: d0799c982b0edbef8660335956528c3c04fd76dbbcfc390e7d9a2c1d3e51a5eb
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: 18ea44c1f5d2057f9f2ed4705fa208ba3e172bbf0207ec59c107be6973701c0d
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: c9f122338f6f0284157ac99b3a9cb642e075581aebdbe22897ce4cb0134b1ad7
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: b75646026adb77e5d1b8c01c164f8cf42d4315d97657147dc1889468b1a29dcb
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: 97a30fa496e01fef2bd1a53854ddea067f33aa0a9cbb53c5f8da55f6eafa934b
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: 833abee88cd930f42287991234546102b9693e7f6bcfa040c3e58825a646afec
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: f3ee9fd489f2f0a884ee8a4623cb165749bc5cc244698ca1a4c0ed0beae48b03
name: egl-wayland
arch: src
version: 1.1.13.1
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-1.1.13.1-2.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: 51f31d0e76fcf3007bbe40dff1155e55d8bcddae2bcd27ff5d94e4778782c2ea
name: egl-x11
arch: src
version: 0.1
epoch: 0
release: 1.20240828git2be2296.el9
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.el9.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: 47bc66beede016b9a6ad06d5312e80b3f5771d91a32ddce2163052f832f67381
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: 413299eb369195291b5438a5da2b48b06a8138be2fa464167737cc45dea7e527
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: cd9b43446229991468ae2d7051fa438f45782d377851b040235e1c72f081ca50
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: 323f90bebd322deb0fc0b127c0d186e6652ea23930a4ea3485ca5482ea4b4720
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: 621c5bf76dc4a6729ad932d0a6eab74d912bc3960c5591ba1ffdefed4d3028bb
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: 16c036fc1bc63cad5299de363cba37692a14dd35bc499d9a66d7209290121acb
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: f7ad1cde5c66941a31a5ecaaf0fc7a8c3d6957f4cdb2aaf777790ac98f342eff
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: b10bb5baba3bbedd154f6cd4ccf986ae88b979de360dd052b5bc1428d67ad9ed
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: 792be7563a3d1a0b10821cd2f9fd3bba63553e238d0cd16ce3a513fc1c69bc4a
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: 9a72db37b12c0aaf8c992f4279fc88d9f57fd4f9a4b75092c50c3073f17dac5e
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: 98005c53337f871e5b768cb00c19077df95ead455f16888655c6dbc8153d027b
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: 3476b78da87f002e0d4ebc1f469ca91c5ace1bbca733c46ca586b7007a508ea0
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: b319454be4c703d60aae98daeb474159110bd26b854edc7f091871c95a39a02f
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: c0d5be552f100e55278a451ddd17fbdb6de5c9f8945a9ad70d049db8b523cbf6
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: 8b8f8cdaab7c9df3e4195d8693ef279d9d6020d86d10c899451926043f0f2566
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: 1d30a5d4ebd7dd8a29214ab4501027d067498eb5aefa726fb686b31694fe08f5
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: d92b518b700c349d3eb024302fa5536b05e12752d02397686c13951cca64a850
name: nvidia-driver
arch: src
version: 560.35.03
epoch: 3
release: 2.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-560.35.03-2.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 560.35.03.


pkgId: 697e6a4ee18c3e3c2d293ba259a364ec4b2a76abad7714037663c1aa13e7141b
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: 4b7f8db36151a08042fd8ba4a1e53e8d4da89a3dec5e196595d812cb69d1bed0
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: b01925e68b3dc744fff3344619280cd839a4606390ffb69a2b55a20e2ab0b4ed
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: 6a99ade3c396bad44e52ae9fb53d6273d406c2e8a967427bb0ef8544cd08ef48
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: e01b3caff6871f67992be7208b677aaa399bab6b31ced7bf3882bda208bf66c8
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: 3e5187e632239415d0d5fd28407a9fe3bd9c439e0027c35233a23d527ecedad5
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: 11225a93572b2aff7358c8f5062a0b936443bb0a616fb5617872264c8881d198
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.


