# packages

pkgId: 6e6c605ccf176bb8ecfb1ff775d8a68995dd05f7402d3f3b1b9e9c30b2d5daf4
name: compat-nvidia-repo
arch: src
version: 525.89.02
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: workstation.localdomain
location_href: compat-nvidia-repo-525.89.02-1.el9.src.rpm
checksum_type: sha256
description:
  Nvidia drivers metapackage required by official CUDA packages. It pulls in all
  Nvidia driver components.


pkgId: f6bfabd651700f7606e9edd7f7284e05a54098937816a269454bbc4137c8ea6f
name: cuda
arch: src
version: 12.0.140
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: workstation.localdomain
location_href: cuda-12.0.140-1.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: f1d04b7bd0a1a9293234f802413a26facb3bbaba83c65678a5f548b0affd097f
name: cuda-cudnn
arch: src
version: 8.8.0.121
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: workstation.localdomain
location_href: cuda-cudnn-8.8.0.121-1.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: c84ee7a9fff7cc6824b3d16eba6fa7b190ffe12ee36a73bd22698927ac4f58a4
name: cuda-cuobjdump
arch: src
version: 12.0.140
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: workstation.localdomain
location_href: cuda-cuobjdump-12.0.140-1.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: 9c8d0feb4ed947c866b2dc2993bc53bc1d4df73d0764bd94c8bfdb332b196aff
name: cuda-cupti
arch: src
version: 12.0.146
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: workstation.localdomain
location_href: cuda-cupti-12.0.146-1.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: 2e48e388b034e37223ad6810797ff5d1b87dbe7dff51f35ca8fe9ddd5014c97a
name: cuda-gdb
arch: src
version: 12.0.140
epoch: 1
release: 1.el9
summary: CUDA GDB
url: https://developer.nvidia.com/cuda-toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-gdb-12.0.140-1.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: 5d59862d646417cd4d83c1665c3bec995c8e1cf90fe9c6e9a4b67c54c07470c2
name: cuda-nvcc
arch: src
version: 12.0.140
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: workstation.localdomain
location_href: cuda-nvcc-12.0.140-1.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: 81ff879c00d0f5c918672b51e8af85ea28a50f9cda9b5fc3aef8e7eb1686a60c
name: cuda-nvdisasm
arch: src
version: 12.0.140
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: workstation.localdomain
location_href: cuda-nvdisasm-12.0.140-1.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: 6998f9e99dff1cb3e2f3d4117d6d25f0cab0dcf81b99d2ca25e7529441dc1535
name: cuda-nvml
arch: src
version: 12.0.140
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: workstation.localdomain
location_href: cuda-nvml-12.0.140-1.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: 0e81ad321aff97c931a3242f7f6bd99400180dbc505c46b5f755da706f533027
name: cuda-nvprof
arch: src
version: 12.0.146
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: workstation.localdomain
location_href: cuda-nvprof-12.0.146-1.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: a58fe1da8be4927f08a77ac7003d2e59017b412c54d5e74f00ced72fe8452c32
name: cuda-nvprune
arch: src
version: 12.0.140
epoch: 1
release: 1.el9
summary: CUDA nvprune
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-nvprune-12.0.140-1.el9.src.rpm
checksum_type: sha256
description:
  nvprune prunes host object files and libraries to only contain device code for
  the specified targets.


pkgId: 439ea9a547bf94c6208dd8612d5025f9a2f3ed6b6698cfb3fb08a9ffc1476a9b
name: cuda-nvrtc
arch: src
version: 12.0.140
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: workstation.localdomain
location_href: cuda-nvrtc-12.0.140-1.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: cc7da1972d6b357c174949c88618069e9280dac729c4faa86b631773a5bbaee3
name: cuda-nvtx
arch: src
version: 12.0.140
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: workstation.localdomain
location_href: cuda-nvtx-12.0.140-1.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: df47f9f6325743c83f79b8a15261ce80c0cd5d4c65b35e7239b21975327be220
name: cuda-sanitizer
arch: src
version: 12.0.140
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: workstation.localdomain
location_href: cuda-sanitizer-12.0.140-1.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: 70e254358cdf25ed746642f174ea86f8f490df808712fd5d060d117eedf4e9f7
name: dkms-nvidia
arch: src
version: 525.89.02
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: workstation.localdomain
location_href: dkms-nvidia-525.89.02-1.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: 4587b04c2527f78e50b5bc6ed2d6de94e499c3d454d8e6c0e3b66fa357a2f0c8
name: libcublas
arch: src
version: 12.0.2.224
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: workstation.localdomain
location_href: libcublas-12.0.2.224-1.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: 368bc28f901baedfed5eb371b793f671eb073ff3e5bdc5efaa0febed7e7a56ed
name: libcufft
arch: src
version: 11.0.1.95
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: workstation.localdomain
location_href: libcufft-11.0.1.95-1.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: a6ca0a369007224c009f91ad17142b89b6687fac35c3217e6fc0bb8428bccd05
name: libcufile
arch: src
version: 1.5.1.14
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: workstation.localdomain
location_href: libcufile-1.5.1.14-1.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: 4cb155af604575e1491ac95e16329c6677908a4c192631871e0249f1cb3e971c
name: libcurand
arch: src
version: 10.3.1.124
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: workstation.localdomain
location_href: libcurand-10.3.1.124-1.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: 44515ee8bd78dfbafc8b4d37a098cfcf54a294cff4a8a96683a4801f8c7a46db
name: libcusolver
arch: src
version: 11.4.3.1
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: workstation.localdomain
location_href: libcusolver-11.4.3.1-1.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: 82eab2452db2bad155653defbf1e037d76e57631b37eb8594abae79888b118b8
name: libcusparse
arch: src
version: 12.0.1.140
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: workstation.localdomain
location_href: libcusparse-12.0.1.140-1.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: 5e60b2955b485450beb5c11dac6b9a30c2c80a2d69c4e8ed193532395e8bfdc1
name: libcusparselt
arch: src
version: 0.3.0.3
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: workstation.localdomain
location_href: libcusparselt-0.3.0.3-1.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: 8968791e69acc15ae80ca6d3707499f18708529600c074df473a7b184dc03fc8
name: libnpp
arch: src
version: 12.0.1.104
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: workstation.localdomain
location_href: libnpp-12.0.1.104-1.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: 0634b727028cfb458c37c0698f008422482d64828057069624cc486683f1ef84
name: libnvidia-nscq
arch: src
version: 525.85.12
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: workstation.localdomain
location_href: libnvidia-nscq-525.85.12-1.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: 1f6fdd2fadb4551efdc0d844ca5b5edcb7e5ad6993d942452340b1c80bc4449c
name: libnvjitlink
arch: src
version: 12.0.140
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: workstation.localdomain
location_href: libnvjitlink-12.0.140-1.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: cb6f39f349eb4f75b9f7f3b1805a921b89fadb64d7d8a48d4c67f5151fd5d935
name: libnvjpeg
arch: src
version: 12.0.1.102
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: workstation.localdomain
location_href: libnvjpeg-12.0.1.102-1.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: 6160c79dceac466ef91cb1811398bf9c379e9ff9acff5e8a1ee73d0a7e391869
name: nvidia-driver
arch: src
version: 525.89.02
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: workstation.localdomain
location_href: nvidia-driver-525.89.02-1.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 525.89.02.


pkgId: 91f5aea011e903db8fe701e8e634f7e20d607bb562d2d9949d2ce7c44f987abd
name: nvidia-kmod
arch: src
version: 525.89.02
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: workstation.localdomain
location_href: nvidia-kmod-525.89.02-1.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: 504cb21fd7cd693de01c1716c3d4086e7ff1a833e0e5047051b40c308b824e0a
name: nvidia-modprobe
arch: src
version: 525.89.02
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: workstation.localdomain
location_href: nvidia-modprobe-525.89.02-1.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: e3d26569efeca494c261bc92e2133190bdfe4a2f7959fd7bbab3dec5fa0c14a0
name: nvidia-persistenced
arch: src
version: 525.89.02
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: workstation.localdomain
location_href: nvidia-persistenced-525.89.02-1.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: 262be296984a9b08a6d8fef8188d5ca59921a11b9167cd99f3b634e95be7877c
name: nvidia-sdk-optix
arch: src
version: 7.5.0
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-7.5.0-1.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: 64573ffa5a363bee47ba9d6220906e72e803ae563324ff9de0a81c0fd1cdb015
name: nvidia-sdk-video-codec
arch: src
version: 12.0.16
epoch: 1
release: 1.el9
summary: A comprehensive set of APIs for hardware accelerated video encode and decode
url: https://developer.nvidia.com/nvidia-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-12.0.16-1.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: 30449414f9d2bbf249c66036c2ed895e7f4ec7bcb69c1af39b92a937e41c22fa
name: nvidia-settings
arch: src
version: 525.89.02
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: workstation.localdomain
location_href: nvidia-settings-525.89.02-1.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: b3816edc5848fc0d2a33aa4ff4a5ab6bc796cee457f98d0e5e5e621dda100961
name: nvidia-xconfig
arch: src
version: 525.89.02
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: workstation.localdomain
location_href: nvidia-xconfig-525.89.02-1.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.


