# packages

pkgId: b9d424a07fce362f2893ba4094683f64fe96318a8d0fecbfb887bf372a3bb095
name: compat-nvidia-repo
arch: src
version: 550.54.14
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: wks1.lab.negativo17.org
location_href: compat-nvidia-repo-550.54.14-1.el9.src.rpm
checksum_type: sha256
description:
  Nvidia drivers metapackage required by official CUDA packages. It pulls in all
  Nvidia driver components.


pkgId: 8c4216dddb985bff095198379f39136c0811aef0c48954b4c22d5c377b4c5927
name: cuda
arch: src
version: 12.3.101
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: wks1.lab.negativo17.org
location_href: cuda-12.3.101-1.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: 13f665c6b0390868365d17122375331cebf5e809bac7aa484d03a5357bc3d4b4
name: cuda-cudnn
arch: src
version: 8.9.7.29
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: wks1.lab.negativo17.org
location_href: cuda-cudnn-8.9.7.29-1.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: ef360d3600828b75e4b642c4bcf30aa4d44fcef84831db77d162fdb595173802
name: cuda-cuobjdump
arch: src
version: 12.3.101
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: wks1.lab.negativo17.org
location_href: cuda-cuobjdump-12.3.101-1.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: dc7c1774d6520a1727b82e60878f7fc85b6cf161a49393e115f85d46b8d8909e
name: cuda-cupti
arch: src
version: 12.3.101
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: wks1.lab.negativo17.org
location_href: cuda-cupti-12.3.101-1.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: 22a31c45a833a8d34a1acc672d380de42964297fe43e6388e1d76d73cdf8baca
name: cuda-gdb
arch: src
version: 12.3.101
epoch: 1
release: 1.el9
summary: CUDA GDB
url: https://developer.nvidia.com/cuda-toolkit
rpm_group: Unspecified
rpm_buildhost: wks1.lab.negativo17.org
location_href: cuda-gdb-12.3.101-1.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: 0b6d39ef47d94f3a7a425231885a7c75aceca2c1ee1d664934d03b5c2285d706
name: cuda-memcheck
arch: src
version: 11.8.86
epoch: 1
release: 1.el9
summary: CUDA run time error detection tool for CUDA applications
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-memcheck-11.8.86-1.el9.src.rpm
checksum_type: sha256
description:
  CUDA-MEMCHECK is a functional correctness checking suite included in the CUDA
  toolkit. This suite contains multiple tools that can perform different types of
  checks.

  CUDA-MEMCHECK can be run in standalone mode where the user's application is
  started under CUDA-MEMCHECK. The memcheck tool can also be enabled in integrated
  mode inside CUDA-GDB.

  CUDA-MEMCHECK is deprecated and will be removed in a future release of the CUDA
  toolkit. Please use the compute-sanitizer as a drop-in replacement.


pkgId: c5860be41d27f2ad233728f8fc8d23ee06fe561fbca6e7902611723a9a57f268
name: cuda-nvcc
arch: src
version: 12.3.107
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: wks1.lab.negativo17.org
location_href: cuda-nvcc-12.3.107-1.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: fc25ce80073160e69fc63822a34e50dd882366985d541f4d29f17426d2d63794
name: cuda-nvdisasm
arch: src
version: 12.3.101
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: wks1.lab.negativo17.org
location_href: cuda-nvdisasm-12.3.101-1.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: cec46f32af624e1483ff084285fca1f535293bd294a78f5b0d3059aedfaedf81
name: cuda-nvjpeg2k
arch: src
version: 0.4.0.24
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: workstation.localdomain
location_href: cuda-nvjpeg2k-0.4.0.24-1.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: b7bfe839726ee19cb312a5b543c568e14bc78d014fc5e43af14d42cfa79bf800
name: cuda-nvml
arch: src
version: 12.3.101
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: wks1.lab.negativo17.org
location_href: cuda-nvml-12.3.101-1.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: 326e358eda75cf429f2d08b052659bca40850fe673d9c0e289ffc715479fddb0
name: cuda-nvprof
arch: src
version: 12.3.101
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: wks1.lab.negativo17.org
location_href: cuda-nvprof-12.3.101-1.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: 08db480b71b39c093920ccf5a77767d16ce3a78eacd7f42c44b12c52d5f6c20e
name: cuda-nvprune
arch: src
version: 12.3.101
epoch: 1
release: 1.el9
summary: CUDA nvprune
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks1.lab.negativo17.org
location_href: cuda-nvprune-12.3.101-1.el9.src.rpm
checksum_type: sha256
description:
  nvprune prunes host object files and libraries to only contain device code for
  the specified targets.


pkgId: ae5306239cc328a4f5f9b687ddf17de866bbaf27e978ac8812e7e44a286fef84
name: cuda-nvrtc
arch: src
version: 12.3.107
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: wks1.lab.negativo17.org
location_href: cuda-nvrtc-12.3.107-1.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: 497fff7b13083ef725e7a533d8c88a12966a0682209d8e37429530b5289b65b0
name: cuda-nvtx
arch: src
version: 12.3.101
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: wks1.lab.negativo17.org
location_href: cuda-nvtx-12.3.101-1.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: 03ee7e22550b6e606534910f9f76714f19dae4b6c7cad5967676fc7dbde5d04a
name: cuda-sanitizer
arch: src
version: 12.3.101
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: wks1.lab.negativo17.org
location_href: cuda-sanitizer-12.3.101-1.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: ed830a0d1f54071b12c2de3872c23f944c3a83688cb86c3555e8789e86f2fda7
name: dkms-nvidia
arch: src
version: 550.54.14
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: wks1.lab.negativo17.org
location_href: dkms-nvidia-550.54.14-1.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: 587fbf799d461bd5c3edb37f8d38adce6da1f3f3ffcf6aea98ae98c61f126d2f
name: egl-wayland
arch: src
version: 1.1.13
epoch: 0
release: 1.el9
summary: EGLStream-based Wayland external platform
url: https://github.com/NVIDIA/egl-wayland
rpm_license: MIT
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: egl-wayland-1.1.13-1.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: ffd54b7a6a12676dee441a10543781d3f890e24eea2308e3d7933be72b02da44
name: libcublas
arch: src
version: 12.3.4.1
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: wks1.lab.negativo17.org
location_href: libcublas-12.3.4.1-1.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: dace467b596afe9ebe7d6d8b144d3a05a193ce870239dbaf865dd70885aa88a5
name: libcufft
arch: src
version: 11.0.12.1
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: wks1.lab.negativo17.org
location_href: libcufft-11.0.12.1-1.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: 521635512733739c1d4533b2fe2c79049c7b5e523affaa8b37495e120cf74dc3
name: libcufile
arch: src
version: 1.8.1.2
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: wks1.lab.negativo17.org
location_href: libcufile-1.8.1.2-1.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: c70e5e4d54a84b3b8703d42b36de9434e6960bc7b6c76436bd0865fd2f0e0544
name: libcurand
arch: src
version: 10.3.4.107
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: wks1.lab.negativo17.org
location_href: libcurand-10.3.4.107-1.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: 4ce81cf209000199f39a9791a765c824adaca268f89f68ed6ac7ebc5c6bfad56
name: libcusolver
arch: src
version: 11.5.4.101
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: wks1.lab.negativo17.org
location_href: libcusolver-11.5.4.101-1.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: 688baffbe409aef77a619ecf9fb6b0516d5b7b09588fe21e4c799c9c4410d3a2
name: libcusparse
arch: src
version: 12.2.0.103
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: wks1.lab.negativo17.org
location_href: libcusparse-12.2.0.103-1.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: 34ef1196cfbf835dbea9b94abc0e4fb5c2d22b523a1fc006b57bc95b51b33ab9
name: libcusparselt
arch: src
version: 0.5.2.1
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: wks1.lab.negativo17.org
location_href: libcusparselt-0.5.2.1-1.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: 19dae8821d129eea547cf0a1b78071bfe3e1e75caab167446d8d2de59e628192
name: libnpp
arch: src
version: 12.2.3.2
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: wks1.lab.negativo17.org
location_href: libnpp-12.2.3.2-1.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: aa85a74910a22fcabce0110e44420ec1f99bb45deccb50d841d7d7a67ed85ac6
name: libnvidia-nscq
arch: src
version: 545.23.08
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: wks1.lab.negativo17.org
location_href: libnvidia-nscq-545.23.08-1.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: 302425bcfbb4e8fd98b75e038a2c1db9663df959033660b3397a72b154afd064
name: libnvjitlink
arch: src
version: 12.3.101
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: wks1.lab.negativo17.org
location_href: libnvjitlink-12.3.101-1.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: 610dd2d2688fd600d1a02c631449b187b00195cfdd6f90ffe410bc7ede9eee9b
name: libnvjpeg
arch: src
version: 12.3.0.81
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: wks1.lab.negativo17.org
location_href: libnvjpeg-12.3.0.81-1.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: 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: 3cca606e7f9707ff75cb1d4b347d06b92e5dd6cf74eb66b65e0f70d428e8faf4
name: nvidia-driver
arch: src
version: 550.54.14
epoch: 3
release: 1.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: wks1.lab.negativo17.org
location_href: nvidia-driver-550.54.14-1.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 550.54.14.


pkgId: 7445e698db2ecd04a208a4e38897f37582d0cb419a93c9a1f097ba5f726ef79a
name: nvidia-kmod
arch: src
version: 550.54.14
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: wks1.lab.negativo17.org
location_href: nvidia-kmod-550.54.14-1.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: c41c3c08ff8aa833e8d42bc066e1086de7e022bc76959ea5636b628d73366bcf
name: nvidia-modprobe
arch: src
version: 550.54.14
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: wks1.lab.negativo17.org
location_href: nvidia-modprobe-550.54.14-1.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: d532f9057794561d9a4b702c4085a1239aa09c6eb50f69b2178d54c1b24f2dba
name: nvidia-persistenced
arch: src
version: 550.54.14
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: wks1.lab.negativo17.org
location_href: nvidia-persistenced-550.54.14-1.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: d1f46dfbd37c59a4d05ba950e0a63020b34a39a4a28546600aeedee35317f602
name: nvidia-settings
arch: src
version: 550.54.14
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: wks1.lab.negativo17.org
location_href: nvidia-settings-550.54.14-1.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: 25dc1fe083b2008b57c6c0bb3b85c330ac0562350cfee6c05b4cfaf00f1e9dd2
name: nvidia-xconfig
arch: src
version: 550.54.14
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: wks1.lab.negativo17.org
location_href: nvidia-xconfig-550.54.14-1.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.


