# packages

pkgId: 1009fabc221f2e8e50bcc0916ada67684fb02db3701f8e8bcabb2c7f245a7bf2
name: compat-nvidia-repo
arch: src
version: 555.58.02
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: wks2.lab.negativo17.org
location_href: compat-nvidia-repo-555.58.02-1.el8.src.rpm
checksum_type: sha256
description:
  Nvidia drivers metapackage required by official CUDA packages. It pulls in all
  Nvidia driver components.


pkgId: 8f10fcdc30d17ca7d81691f768d7efdaa1a87ddee5b2cd50587b5d43a56da437
name: cuda
arch: src
version: 12.5.82
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: wks2.lab.negativo17.org
location_href: cuda-12.5.82-1.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: 62bb8824be85d6da12191205ed959e306ac3a8d58013c8778209a715c2f1d3e5
name: cuda-cudnn
arch: src
version: 9.2.1.18
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: wks2.lab.negativo17.org
location_href: cuda-cudnn-9.2.1.18-1.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: 45cb1336cda8a9b631a811c0ae45796e8c8a17da218744e63ee2a77f270a067b
name: cuda-cuobjdump
arch: src
version: 12.5.39
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: wks2.lab.negativo17.org
location_href: cuda-cuobjdump-12.5.39-1.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: 75d1b657b7018947cba2b311dc396c831ba873c26c40a6b0652457df5af385be
name: cuda-cupti
arch: src
version: 12.5.82
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: wks2.lab.negativo17.org
location_href: cuda-cupti-12.5.82-1.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: 85819eebb7beb2d935d95a57759cd021d412c03a3c2c2065d2011852aa22a9a3
name: cuda-gdb
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
summary: CUDA GDB
url: https://developer.nvidia.com/cuda-toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-gdb-12.5.82-1.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: 81294220cf18732309d9bb9b975c905ba3232591cb6cc5b717c43bdbb6d4a3c9
name: cuda-nvcc
arch: src
version: 12.5.82
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: wks2.lab.negativo17.org
location_href: cuda-nvcc-12.5.82-1.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: c5828b2163248e5d92921c33b60eef0d506304e36eaa96ee32ef8ee34c11b0a2
name: cuda-nvdisasm
arch: src
version: 12.5.39
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: wks2.lab.negativo17.org
location_href: cuda-nvdisasm-12.5.39-1.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: 7e8cec456c359e20a1665927d1c090af0815996a9eeb1385f913d034dfcdf82a
name: cuda-nvml
arch: src
version: 12.5.82
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: wks2.lab.negativo17.org
location_href: cuda-nvml-12.5.82-1.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: a7da4ec3b348ddc8b24770eeaa1cfbf758cb05726fc8b96c6333169ac6eba377
name: cuda-nvprof
arch: src
version: 12.5.82
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: wks2.lab.negativo17.org
location_href: cuda-nvprof-12.5.82-1.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: 356c032873a1f37d5fd4394fb5c2f89d407aef4e4c870500751f051a17b1424d
name: cuda-nvprune
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
summary: CUDA nvprune
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: cuda-nvprune-12.5.82-1.el8.src.rpm
checksum_type: sha256
description:
  nvprune prunes host object files and libraries to only contain device code for
  the specified targets.


pkgId: 69495e732a09e414b6dbe5fde8fb19743a27c325adb3080611a7b4ab94f090df
name: cuda-nvrtc
arch: src
version: 12.5.82
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: wks2.lab.negativo17.org
location_href: cuda-nvrtc-12.5.82-1.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: 732438e0fe91c51779772b2e71ad6d14f46ca48b45892a69e2ae723bf3bdbde9
name: cuda-nvtx
arch: src
version: 12.5.82
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: wks2.lab.negativo17.org
location_href: cuda-nvtx-12.5.82-1.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: c9c96907897b4db50a4c417f6afd588839fb2c2bb0c563e87b1dbac8bb339635
name: cuda-sanitizer
arch: src
version: 12.5.81
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: wks2.lab.negativo17.org
location_href: cuda-sanitizer-12.5.81-1.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: 1786dd939508999beca17e3af77938de4aa5212ddc079893e7998bf6a989c3e8
name: dkms-nvidia
arch: src
version: 555.58.02
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: wks2.lab.negativo17.org
location_href: dkms-nvidia-555.58.02-1.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: 890887bf7ace9b6b12f18370e1aaf4559f13c302ce398b2583aab9a5ffaa7118
name: egl-wayland
arch: src
version: 1.1.13
epoch: 0
release: 2.el8
summary: EGLStream-based Wayland external platform
url: https://github.com/NVIDIA/egl-wayland
rpm_license: MIT
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: egl-wayland-1.1.13-2.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: a549b5a5a67a3dbf8d2a069b7e5ad98ab47ea028587bc6f89e4f598a33df5ec1
name: imex
arch: src
version: 555.42.06
epoch: 0
release: 1.el8
summary: NVIDIA Imex daemon
url: http://nvidia.com
rpm_license: NVIDIA Proprietary
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: imex-555.42.06-1.el8.src.rpm
checksum_type: sha256
description:
  Imex process is a privileged/system client of Resource Manager and will
  facilitate the mapping of GPU memory (over NVLink) between GPUs via the memory
  import and export mechanisms.


pkgId: 7a09b9699b0650a5915681d6dcf29e15456c5a22a711be4cb547435261e458db
name: libcublas
arch: src
version: 12.5.3.2
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: wks2.lab.negativo17.org
location_href: libcublas-12.5.3.2-1.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: 653aeec259e28e4dcf5e6bf301bd772eff9d53244d64bd8ffed5966d2b97eae3
name: libcufft
arch: src
version: 11.2.3.61
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: wks2.lab.negativo17.org
location_href: libcufft-11.2.3.61-1.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: 5f1ea09f7b15227f8c95cf308d4e98e201b0b3c392028058cea659831f6c1a75
name: libcufile
arch: src
version: 1.10.1.7
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: wks2.lab.negativo17.org
location_href: libcufile-1.10.1.7-1.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: 57d1d56daec1e71e93d67f4c561f700dd5330326ff8abcc29cd9fa8791a02469
name: libcurand
arch: src
version: 10.3.6.82
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: wks2.lab.negativo17.org
location_href: libcurand-10.3.6.82-1.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: 9b1edfa0eb25c5f404655e5091feac3cf9d55a3eb26264194d663dd0d00bf539
name: libcusolver
arch: src
version: 11.6.3.83
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: wks2.lab.negativo17.org
location_href: libcusolver-11.6.3.83-1.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: c034883de2bce656e0167d0a8a78786e657982b63ecab63fe828a7220c1d6f39
name: libcusparse
arch: src
version: 12.5.1.3
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: wks2.lab.negativo17.org
location_href: libcusparse-12.5.1.3-1.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: 79db98c785b3ed17f5c3aa8ae6d60e633a1684e9538370bd11c3c65714c0f921
name: libcusparselt
arch: src
version: 0.6.1.0
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: wks2.lab.negativo17.org
location_href: libcusparselt-0.6.1.0-1.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: b5c166550a5a354ad01bc965c8a920d24ad7ce6f12d655c8eb55bef92a17392a
name: libnpp
arch: src
version: 12.3.0.159
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: wks2.lab.negativo17.org
location_href: libnpp-12.3.0.159-1.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: c24793951974c72ea5c123da9aa388e37e5727b491310fa9447c879f90e49288
name: libnvfatbin
arch: src
version: 12.5.82
epoch: 1
release: 1.el8
summary: CUDA Fatbin Creator API
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks2.lab.negativo17.org
location_href: libnvfatbin-12.5.82-1.el8.src.rpm
checksum_type: sha256
description:
  The Fatbin Creator APIs are a set of APIs which can be used at runtime to
  combine multiple CUDA objects into one CUDA fat binary (fatbin).

  The functionality in this library is similar to the fatbinary offline tool in
  the CUDA toolkit, with the following advantages:

   - Support for runtime fatbin creation.
   - The clients get fine grain control and can specify separate options for each
     fatbinary.
   - Supports direct input from memory, rather than requiring inputs be written to
     files.


pkgId: 9c360b2c96d5b239a9dfa5439997fe7ff2cd17d3bdcbb8d018fbda05b492a541
name: libnvidia-nscq
arch: src
version: 555.42.06
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: wks2.lab.negativo17.org
location_href: libnvidia-nscq-555.42.06-1.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: 02791100d426b28e49840497487f7bb33401ea48f7a3ff9fa11fab30a3d7553c
name: libnvjitlink
arch: src
version: 12.5.82
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: wks2.lab.negativo17.org
location_href: libnvjitlink-12.5.82-1.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: 24f169fc6c4fae2879578ce97d887acf72b5dbc764ef7adb737278918396177e
name: libnvjpeg
arch: src
version: 12.3.2.81
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: wks2.lab.negativo17.org
location_href: libnvjpeg-12.3.2.81-1.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: a490d758ffa947750a78d402cd160c0014ddae71dd5b7c8e0face60d1093a794
name: libnvjpeg2k
arch: src
version: 0.8.0.38
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: wks2.lab.negativo17.org
location_href: libnvjpeg2k-0.8.0.38-1.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: 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: e189a174161d9f841b6fcb4b36c7ce26bd4a43e61869782ff1d681a96112e651
name: nvidia-driver
arch: src
version: 555.58.02
epoch: 3
release: 3.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: wks2.lab.negativo17.org
location_href: nvidia-driver-555.58.02-3.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 555.58.02.


pkgId: fb5f1eadd05f1ad6d80636549b2ab6a74ab01fbc59597bdf9cc8104a61ff20de
name: nvidia-kmod
arch: src
version: 555.58.02
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: wks2.lab.negativo17.org
location_href: nvidia-kmod-555.58.02-1.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: f614348bb4c52000383c63307a729bf18863532612caf21ba2bd98f222e4c6e6
name: nvidia-modprobe
arch: src
version: 555.58.02
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: wks2.lab.negativo17.org
location_href: nvidia-modprobe-555.58.02-1.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: af138a605c1afb3948774bcbc625473db2d1ab2b5d28eb2992782bd51c7cfa97
name: nvidia-persistenced
arch: src
version: 555.58.02
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: wks2.lab.negativo17.org
location_href: nvidia-persistenced-555.58.02-1.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: f90fd925d0491b44d4508b2e91e8cd213436bc731b22de8d9f4d707badee5f65
name: nvidia-sdk-optix
arch: src
version: 8.0.0
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-8.0.0-1.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: 32834a7c9940a1622779dc7b93a57fc2aac0bc849e7e836a9bb2425b74a3aab0
name: nvidia-settings
arch: src
version: 555.58.02
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: wks2.lab.negativo17.org
location_href: nvidia-settings-555.58.02-1.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: 4c4139d8af5bad48518b691a5d3c9b65cc2243c363f29c8c4f7b445f0716ef37
name: nvidia-xconfig
arch: src
version: 555.58.02
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: wks2.lab.negativo17.org
location_href: nvidia-xconfig-555.58.02-1.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.


