# packages

pkgId: 247a16500c3332501252750a2297cf3a4eb0f23798d90e7c3f1d60add2cdd0a4
name: compat-nvidia-repo
arch: src
version: 535.104.05
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: workstation.localdomain
location_href: compat-nvidia-repo-535.104.05-1.el8.src.rpm
checksum_type: sha256
description:
  Nvidia drivers metapackage required by official CUDA packages. It pulls in all
  Nvidia driver components.


pkgId: ec8074ecd7093a41e9d4f990438f1cfee949b248720884a901a0169d69e74c14
name: cuda
arch: src
version: 12.2.140
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: workstation.localdomain
location_href: cuda-12.2.140-1.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: af1de6dd6d08143984c2686d3abb740633103c27c51b03baa6f250ad43d3a635
name: cuda-cudnn
arch: src
version: 8.9.3.28
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: workstation.localdomain
location_href: cuda-cudnn-8.9.3.28-1.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: 00a67317d289ca21f5dfac6c8e3a7a716bff0b7084a6bce923b86309af065946
name: cuda-cuobjdump
arch: src
version: 12.2.140
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: workstation.localdomain
location_href: cuda-cuobjdump-12.2.140-1.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: 871f15bc323aacdb39f09f2b731309bf55c6f271eaccae637e3f2122cab03e95
name: cuda-cupti
arch: src
version: 12.2.142
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: workstation.localdomain
location_href: cuda-cupti-12.2.142-1.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: ed0e3a66f4c6322d7d3be1330e1ad84cddef39e38aef55bf072140f1e693cebf
name: cuda-gdb
arch: src
version: 12.2.140
epoch: 1
release: 1.el8
summary: CUDA GDB
url: https://developer.nvidia.com/cuda-toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-gdb-12.2.140-1.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: 19ac5dd0596850a3ddbbb4c1cedbd9471a17058db2ca0311dbff44ee255eac95
name: cuda-memcheck
arch: src
version: 11.8.86
epoch: 1
release: 1.el8
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.el8.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: 86e0f8fbdd9f78d0e4de8e90dd744f0f649bbfe10e83984c2263a954ffb6c4aa
name: cuda-nvcc
arch: src
version: 12.2.140
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: workstation.localdomain
location_href: cuda-nvcc-12.2.140-1.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: ebde70b3c58f20c445af1ee3d5fad56bd38c751415fb55aaf7687f69b5763873
name: cuda-nvdisasm
arch: src
version: 12.2.140
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: workstation.localdomain
location_href: cuda-nvdisasm-12.2.140-1.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: e60f6bc1db3a6018a46be05f8d99eac62b8a80e9497c8726273bf226b748949b
name: cuda-nvjpeg2k
arch: src
version: 0.4.0.24
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: workstation.localdomain
location_href: cuda-nvjpeg2k-0.4.0.24-1.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: 15cd74e551657b3b6fc9b89ae197cc83a1d53ecee02c1dd23d6eb87fe04ef6e3
name: cuda-nvml
arch: src
version: 12.2.140
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: workstation.localdomain
location_href: cuda-nvml-12.2.140-1.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: 710a3baf2c3da945677e9f10db1ef90a32623c64d228e1b400d9d3d40544696d
name: cuda-nvprof
arch: src
version: 12.2.142
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: workstation.localdomain
location_href: cuda-nvprof-12.2.142-1.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: 53a47283db1f96d7309b30c391a5a72126f55ed2346fa829efc4ee7982e9d3f0
name: cuda-nvprune
arch: src
version: 12.2.140
epoch: 1
release: 1.el8
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-12.2.140-1.el8.src.rpm
checksum_type: sha256
description:
  nvprune prunes host object files and libraries to only contain device code for
  the specified targets.


pkgId: cee0fba781e5888ca74938f1984663a5976d486f9e963710a03d2a9f037255e3
name: cuda-nvrtc
arch: src
version: 12.2.140
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: workstation.localdomain
location_href: cuda-nvrtc-12.2.140-1.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: f26096bcaffa6fc2ff4dadfa9749f49ffb447beb75592832cb457971faad4ac1
name: cuda-nvtx
arch: src
version: 12.2.140
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: workstation.localdomain
location_href: cuda-nvtx-12.2.140-1.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: a8d9731716638015175a2ac26d069d12186b0988ead86215ca0872eb5d682788
name: cuda-sanitizer
arch: src
version: 12.2.140
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: workstation.localdomain
location_href: cuda-sanitizer-12.2.140-1.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: 7faa856999b44e1aee99319f6ce6bf9c2cd5264d70a297bdc795f934fb44774c
name: dkms-nvidia
arch: src
version: 535.104.05
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: workstation.localdomain
location_href: dkms-nvidia-535.104.05-1.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: 80c048777c775f049bae6475a5282cea70078b82748ca1570381e912f7bc2c01
name: egl-wayland
arch: src
version: 1.1.12
epoch: 0
release: 2.20230718gitea70449.el8
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-1.1.12-2.20230718gitea70449.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: 9d479eaa764592de3de75fc873fc9a54762f0543889880a64f12351ed2e94a32
name: libcublas
arch: src
version: 12.2.1.16
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: workstation.localdomain
location_href: libcublas-12.2.1.16-1.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: deda699c42414b9b52cd05360103200c09da08959cf14ad7a562be5bba6b6cdb
name: libcufft
arch: src
version: 11.0.8.103
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: workstation.localdomain
location_href: libcufft-11.0.8.103-1.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: 01ebf2ff7dbb99c13b461cb15b1811fd332520e53f6037418c80a41e63f4f2e8
name: libcufile
arch: src
version: 1.7.0.149
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: workstation.localdomain
location_href: libcufile-1.7.0.149-1.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: 643bf437f3dcd89660482a4966b24a1870ae41c899f7f657f41c4c3248237f89
name: libcurand
arch: src
version: 10.3.3.141
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: workstation.localdomain
location_href: libcurand-10.3.3.141-1.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: 644b28ebe899c0e015fe6d521a02ffe0ca2f8cb951e61af6ec69c6e15f6b1953
name: libcusolver
arch: src
version: 11.5.0.53
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: workstation.localdomain
location_href: libcusolver-11.5.0.53-1.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: 48a3e0486ddf9655771a521520f2f8c07d632e474bf89c7a764fc9b707e052c8
name: libcusparse
arch: src
version: 12.1.1.53
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: workstation.localdomain
location_href: libcusparse-12.1.1.53-1.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: 6907f5e4dfb9876e65ff9f7c2e071e64c1c96d000dbf763d43223e75a9c186ac
name: libcusparselt
arch: src
version: 0.3.0.3
epoch: 0
release: 2.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: workstation.localdomain
location_href: libcusparselt-0.3.0.3-2.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: a5dca12ca20ad78e642ef9059576dcc8fa44c61fee481021ddecf3dd144d6c96
name: libnpp
arch: src
version: 12.1.1.14
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: workstation.localdomain
location_href: libnpp-12.1.1.14-1.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: 032a68a1d00c96967e558ba69ee38a27dee653b323de6b385cd5292097399cbe
name: libnvidia-nscq
arch: src
version: 535.104.05
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: workstation.localdomain
location_href: libnvidia-nscq-535.104.05-1.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: 0da22d35be81293b68a5c7a9a38da86301014f52d6b063f92aa624cbc163dc08
name: libnvjitlink
arch: src
version: 12.2.140
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: workstation.localdomain
location_href: libnvjitlink-12.2.140-1.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: 1679a16512e777049b53eb3da287e965682c459e01c51af1219a5f8cdcbf40f7
name: libnvjpeg
arch: src
version: 12.2.0.2
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: workstation.localdomain
location_href: libnvjpeg-12.2.0.2-1.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: 4d65d7b7d3319886a0c5ec51741118235d1cf6a460418db1d1cc3ed1a57c16fd
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: 5b3fe072833c2c20ee90ad44c4fe49cf31a4b7e2aec33c76087a3b6314f51940
name: nvidia-driver
arch: src
version: 535.104.05
epoch: 3
release: 1.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: workstation.localdomain
location_href: nvidia-driver-535.104.05-1.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 535.104.05.


pkgId: 46c547c5bed93ef80a96706096ae7b0901deceaa1f7c981be96dc2fc95076cc7
name: nvidia-driver
arch: src
version: 535.113.01
epoch: 3
release: 1.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: workstation.localdomain
location_href: nvidia-driver-535.113.01-1.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 535.113.01.


pkgId: ea373bd82df618afbc908c40463d4b849b41ee4dd42785e7ba60d967a624b8b4
name: nvidia-kmod
arch: src
version: 535.104.05
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: workstation.localdomain
location_href: nvidia-kmod-535.104.05-1.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: cc83fc3503c3c7ae2b9b71f29298e95b676dc4fdb14c0ff3f05a814359dd6b32
name: nvidia-modprobe
arch: src
version: 535.104.05
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: workstation.localdomain
location_href: nvidia-modprobe-535.104.05-1.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: 43319a6b8f9db6a5bcfeef94ffece12d028ec2a2cae67b8b366c8487fc61a3b9
name: nvidia-persistenced
arch: src
version: 535.104.05
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: workstation.localdomain
location_href: nvidia-persistenced-535.104.05-1.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: 41b53d5b2f21274b6e10f9c48beef1c7e92685f00b62f323653c2e26dbb7e85d
name: nvidia-sdk-optix
arch: src
version: 7.5.0
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-7.5.0-1.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: de018f4fd299be6a40f5a5e36cfbb074fbfd0ad20ff2afc0fe0bce0f34172bdf
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: 45a9c30300f1324b1e3029f5cbdedbe30f761bb0179e2f2734a58c145391121f
name: nvidia-settings
arch: src
version: 535.104.05
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: workstation.localdomain
location_href: nvidia-settings-535.104.05-1.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: aa50f7ab1eef3e1a9be821edefdfbafc80cf8720be0c94cc588865656d900bde
name: nvidia-xconfig
arch: src
version: 535.104.05
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: workstation.localdomain
location_href: nvidia-xconfig-535.104.05-1.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.


