# packages

pkgId: d55810cbe1c914336211a431ef515997e0e736db581a716c8c1d27ef6da6b282
name: compat-nvidia-repo
arch: src
version: 525.116.04
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-525.116.04-1.el8.src.rpm
checksum_type: sha256
description:
  Nvidia drivers metapackage required by official CUDA packages. It pulls in all
  Nvidia driver components.


pkgId: 641f536ad7d95bd246655728c910a43868b731e713e1a100b404c58e913523f6
name: cuda
arch: src
version: 12.1.105
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-12.1.105-1.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: 67dca5eb973ba1de1951ac36a10fd1421e1ad178ce65cb008e766b66111d3109
name: cuda-cudnn
arch: src
version: 8.8.0.121
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-8.8.0.121-1.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: c7ee48d2c7fe4d9f97609ce7f3ea32374ca4a8f1b5f08d867b12b2fa6e3196d4
name: cuda-cuobjdump
arch: src
version: 12.1.111
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-12.1.111-1.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: c25a3654dae61d8381dd3f66f34379248bbbac69fd434a4f37a83f1f713ee17c
name: cuda-cupti
arch: src
version: 12.1.105
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-12.1.105-1.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: 367a71bac77dbaf5bffea296211e58337d14c5c01ba86f1834316e9037f84ba1
name: cuda-gdb
arch: src
version: 12.1.105
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-12.1.105-1.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: 1e2506599ff207938b578ffe4a31a064ebdb6b1b988e7659118daa6c22978f7e
name: cuda-nvcc
arch: src
version: 12.1.105
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-12.1.105-1.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: b1fa62130b7fae9e7450bed325e92a86143b99c3e3f599b1da21cbfc7b0ee462
name: cuda-nvdisasm
arch: src
version: 12.1.105
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-12.1.105-1.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: 7295e4baf4f1c4fb01496ad45e696a74a72fff28667440721f3104a759b0585b
name: cuda-nvml
arch: src
version: 12.1.105
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-12.1.105-1.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: 0b975b6b96cbf9b3f3b6607dc099c6a279bd540fbd677de389a450cfe2a397ee
name: cuda-nvprof
arch: src
version: 12.1.105
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-12.1.105-1.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: dc2549892022838e39ecf62086ed16848238929301f7dbe65f1bec6159583d32
name: cuda-nvprune
arch: src
version: 12.1.105
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-12.1.105-1.el8.src.rpm
checksum_type: sha256
description:
  nvprune prunes host object files and libraries to only contain device code for
  the specified targets.


pkgId: 79b269905cc5599c78f431d95c3cbd6f03981479caacdbd12d908cec41595a97
name: cuda-nvrtc
arch: src
version: 12.1.105
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-12.1.105-1.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: 535b4f1e4b362835052babdb5da14da110cfaa2b39740b0db9dc3648b00f9b7e
name: cuda-nvtx
arch: src
version: 12.1.105
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-12.1.105-1.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: da3fc4c9a456b692363df27928e420b69cbde94adfd2e16ad02223eeb48b3e85
name: cuda-sanitizer
arch: src
version: 12.1.105
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-12.1.105-1.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: f60775f0501f63421743343dc4183f59082bee839cec31a2f7f7663c1d512524
name: dkms-nvidia
arch: src
version: 525.116.04
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-525.116.04-1.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: 9d15a7b62cfccab9cc15815d554795a70857acada31210306d28cfce456a6c26
name: libcublas
arch: src
version: 12.1.0.26
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-12.1.0.26-1.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: 76143ff9e128283cd65cd74256d55a2f1a3669c2de20524755a969a5fc5cdb3d
name: libcufft
arch: src
version: 11.0.2.4
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-11.0.2.4-1.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: 663a2f6fa059ca04ddb032e79ff786eb6cf80affa9bd85b6ac05345dae5e6084
name: libcufile
arch: src
version: 1.6.0.25
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-1.6.0.25-1.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: dfeb4b11b7ebf42c1a17c2e1425a38ade1304c15222d11e7bfae8b94ccdc10f6
name: libcurand
arch: src
version: 10.3.2.106
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-10.3.2.106-1.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: 7b6e82bf0bc742f340c4eb708d4d6952e70d1234fe73e87c6dc5eff685dcb09c
name: libcusolver
arch: src
version: 11.4.4.55
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-11.4.4.55-1.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: f2e5ce8b8eb5a522c104b372884543db7e6fea1179e04d0235a15092202aa72d
name: libcusparse
arch: src
version: 12.0.2.55
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-12.0.2.55-1.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: 9de85b79d18f7b3f5c631b7620a412869b7147b3edbb54224a4dcd18d21c4130
name: libcusparselt
arch: src
version: 0.3.0.3
epoch: 0
release: 1.el8
summary: CUDA Library for Sparse Matrix-Matrix Multiplication
url: https://docs.nvidia.com/cuda/cusparselt/index.html
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libcusparselt-0.3.0.3-1.el8.src.rpm
checksum_type: sha256
description:
  NVIDIA cuSPARSELt is a high-performance CUDA library dedicated to general
  matrix-matrix operations in which at least one operand is a sparse matrix.

  The cuSPARSELt APIs allow flexibility in the algorithm/operation selection,
  epilogue, and matrix characteristics, including memory layout, alignment, and
  data types.


pkgId: d30cd95353b8c4cce0a44e7ed486734e0b0429a931dc9139b325f6f770b77b22
name: libnpp
arch: src
version: 12.0.2.50
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-12.0.2.50-1.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: f64c1fadb37fbf02984e281eb4a876078328f46147da413fa5fcb3e52fb8400e
name: libnvidia-nscq
arch: src
version: 525.85.12
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-525.85.12-1.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: 01320fe7f9ee3d4d109b4a40fc138c6bf8767ee9d9a15c225ddaace6a71d613e
name: libnvjitlink
arch: src
version: 12.1.105
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-12.1.105-1.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: 2a8bfdbd28699571bc1b5623c7f2402334fbfa8f33058dbec70f94d759014c4c
name: libnvjpeg
arch: src
version: 12.1.0.39
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-12.1.0.39-1.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: ed3cf141ffc874db80deeb28b7ac7591b0347c31353adbf7454e5fbaccd34378
name: nvidia-driver
arch: src
version: 525.116.04
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-525.116.04-1.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 525.116.04.


pkgId: f7cad05850b5fc052652a6b8d9cdb6a91a46d7530406bfd511855d21afb879a1
name: nvidia-driver
arch: src
version: 535.54.03
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-535.54.03-1.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 535.54.03.


pkgId: b66c4a72d468e1ad72b6280dde4c9791e5daa9f4d82e2c480ea230e091f734d9
name: nvidia-kmod
arch: src
version: 525.116.04
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-525.116.04-1.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: ebb7149991cf9abf3e6a149c3bf24ee599542bc84fcf754d620a6c39be9acbe4
name: nvidia-modprobe
arch: src
version: 525.116.04
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-525.116.04-1.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: 073ac3cebfd50aa37becd7de856d230381782715e8bd5134c99a484bcca8a05d
name: nvidia-persistenced
arch: src
version: 525.116.04
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-525.116.04-1.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: 1e6b0b164b7096caea726e717fc6858282a562029e39084e8137d2a2713ccd05
name: nvidia-sdk-video-codec
arch: src
version: 12.0.16
epoch: 1
release: 1.el8
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.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: 26817bf66ead3f4670b7cb7c5407a43f333cef9c27b7a96a106d29aeacab525a
name: nvidia-settings
arch: src
version: 525.116.04
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-525.116.04-1.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: 8015eff5ca2d2c2f8be0bc76862225eb740d2457650ee3a664a197edb4473858
name: nvidia-xconfig
arch: src
version: 525.116.04
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-525.116.04-1.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.


