# packages

pkgId: 8807c8cedd2c428ecf2fd18a469d7df3377882e5ab3b4df5c46293d7d5f46e84
name: compat-nvidia-repo
arch: src
version: 550.90.07
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-550.90.07-1.el8.src.rpm
checksum_type: sha256
description:
  Nvidia drivers metapackage required by official CUDA packages. It pulls in all
  Nvidia driver components.


pkgId: abd1fc7984c92e25f886806cdaa969cefd66276f1eb5ab2ea720885d89e7aabb
name: cuda
arch: src
version: 12.4.99
epoch: 1
release: 2.el8
summary: NVIDIA Compute Unified Device Architecture Toolkit
url: https://developer.nvidia.com/cuda-zone
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks1.lab.negativo17.org
location_href: cuda-12.4.99-2.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: 4093863d984dca910f7361c5a454f89a07eeb6d6f44ba7952272a9e3d057879a
name: cuda-cudnn
arch: src
version: 9.0.0.312
epoch: 1
release: 2.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: rockpro64.localdomain
location_href: cuda-cudnn-9.0.0.312-2.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: e1e4c27f1b603bf302ac4227679fbad2270b5bff0e7dcb12bb19fa2ce2ec4ef2
name: cuda-cuobjdump
arch: src
version: 12.4.99
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: wks1.lab.negativo17.org
location_href: cuda-cuobjdump-12.4.99-1.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: b72e8db9165a4c224a1c8789f0857470ac60c33adabff8ef67f7d43493adb8d5
name: cuda-cupti
arch: src
version: 12.4.99
epoch: 1
release: 2.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: rockpro64.localdomain
location_href: cuda-cupti-12.4.99-2.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: 147ab28fcc38275bc6db57c3702e512e9014d2237a14dd743036ece6e159096e
name: cuda-gdb
arch: src
version: 12.4.99
epoch: 1
release: 1.el8
summary: CUDA GDB
url: https://developer.nvidia.com/cuda-toolkit
rpm_group: Unspecified
rpm_buildhost: wks1.lab.negativo17.org
location_href: cuda-gdb-12.4.99-1.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: 04bce2d2ac3f714b8c8bb7274a33f221e835bc35ec0e28e1c22f8b2c32b0161c
name: cuda-nvcc
arch: src
version: 12.4.99
epoch: 1
release: 2.el8
summary: CUDA Compiler (NVCC)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks1.lab.negativo17.org
location_href: cuda-nvcc-12.4.99-2.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: 05cf3d524f7372f339205a84bdbd70aa2f178e572d37c2453ac4b81f57839df5
name: cuda-nvdisasm
arch: src
version: 12.4.99
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: wks1.lab.negativo17.org
location_href: cuda-nvdisasm-12.4.99-1.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: 8de6ae41d47da54fb1ebe63242ec21a93387bbb879b520da6d7fee886d8fae83
name: cuda-nvml
arch: src
version: 12.4.99
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: wks1.lab.negativo17.org
location_href: cuda-nvml-12.4.99-1.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: 0b56cf9c8233a0bb3d69aa0f76c4b0d7ff8d6b4e4888ddf97ce776e649e7251f
name: cuda-nvprof
arch: src
version: 12.4.99
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: wks1.lab.negativo17.org
location_href: cuda-nvprof-12.4.99-1.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: 02e2da2f1416b919568c160b71fd55af515b2e60615e9da5e6fbba18c839af19
name: cuda-nvprune
arch: src
version: 12.4.99
epoch: 1
release: 1.el8
summary: CUDA nvprune
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks1.lab.negativo17.org
location_href: cuda-nvprune-12.4.99-1.el8.src.rpm
checksum_type: sha256
description:
  nvprune prunes host object files and libraries to only contain device code for
  the specified targets.


pkgId: 75419720b09dbf7b9648b1aa82e28f8465a1b672c153e91435f938ffb954c3a5
name: cuda-nvrtc
arch: src
version: 12.4.99
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: wks1.lab.negativo17.org
location_href: cuda-nvrtc-12.4.99-1.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: bff6005c6d32e4ddba60e686672f560975f30d2eaf040e80202833baf5c02e63
name: cuda-nvtx
arch: src
version: 12.4.99
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: wks1.lab.negativo17.org
location_href: cuda-nvtx-12.4.99-1.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: 4ec3a9e93ceca7068caa605e8f9716c7a1a0d8b9e9dc9eaccd404f60f603ff59
name: cuda-sanitizer
arch: src
version: 12.4.99
epoch: 1
release: 2.el8
summary: CUDA Compute Sanitizer API
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: wks1.lab.negativo17.org
location_href: cuda-sanitizer-12.4.99-2.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: f104aae6915eb13d2a1461bc2fe364ec879327c95147bc45d6bd003e49e2dba4
name: dkms-nvidia
arch: src
version: 550.90.07
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-550.90.07-1.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: 9c684220c12299d8f2138c2d15a94908b138bc4ec9e088855c06f5429acdf237
name: egl-wayland
arch: src
version: 1.1.13
epoch: 0
release: 1.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-1.1.13-1.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: 48a3bf87bdee53898310d8f8f008293efa2841caff026dd310f7186e43098c4b
name: imex
arch: src
version: 550.54.14
epoch: 0
release: 1.el8
summary: NVIDIA Imex daemon
url: http://nvidia.com
rpm_license: NVIDIA Proprietary
rpm_group: Unspecified
rpm_buildhost: rockpro64.localdomain
location_href: imex-550.54.14-1.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: 9b5288a1f7dc6696617972ce4da6d622a8a9eff642c33592bf4ef010264a2374
name: libcublas
arch: src
version: 12.4.2.65
epoch: 1
release: 2.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: rockpro64.localdomain
location_href: libcublas-12.4.2.65-2.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: e3ccce9c091583d429e3db7c5faec3f94fdff2099768945bd4e111aaeff9e1c2
name: libcufft
arch: src
version: 11.2.0.44
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: wks1.lab.negativo17.org
location_href: libcufft-11.2.0.44-1.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: ae6ce2f8e6e886e3196d5d21a16f09d9b8b48a31ac64c2c252da49fac99705fc
name: libcufile
arch: src
version: 1.9.0.20
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: wks1.lab.negativo17.org
location_href: libcufile-1.9.0.20-1.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: 803e52126383be8ee5e654f3158a8e6136c0b670e93c7b181c8ff0876da25a7d
name: libcurand
arch: src
version: 10.3.5.119
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: wks1.lab.negativo17.org
location_href: libcurand-10.3.5.119-1.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: 876287f2dc84ec02340d3c44f08f3e4f1bfd04a0bf752042735ce5c15f55193c
name: libcusolver
arch: src
version: 11.6.0.99
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: wks1.lab.negativo17.org
location_href: libcusolver-11.6.0.99-1.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: 443bfe4a2a4722bfb38ca775cd6250a869cee3332b83050d1aab5b93e1467a54
name: libcusparse
arch: src
version: 12.3.0.142
epoch: 1
release: 2.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: rockpro64.localdomain
location_href: libcusparse-12.3.0.142-2.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: ab86897d54d6c3564f2aa869ddd47d4e4b23cb66a62dd5747a8ecb8939c5d87b
name: libcusparselt
arch: src
version: 0.6.0.6
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: wks1.lab.negativo17.org
location_href: libcusparselt-0.6.0.6-1.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: 8dc97f85b939da94c6e920c207277cc268aacd6da30c5dd670302abbe286ab4d
name: libnpp
arch: src
version: 12.2.5.2
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: wks1.lab.negativo17.org
location_href: libnpp-12.2.5.2-1.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: d0bd58fdf130b1863da93b79b93308d46177bd548b9eb738bec36f7fc8d6c8b0
name: libnvfatbin
arch: src
version: 12.4.99
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: wks1.lab.negativo17.org
location_href: libnvfatbin-12.4.99-1.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: 15075320e7245c552b35653427afb4a4464e12ae2779f86997618820969dd73d
name: libnvidia-nscq
arch: src
version: 550.54.14
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: wks1.lab.negativo17.org
location_href: libnvidia-nscq-550.54.14-1.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: 15238cfabab07c172a3bc38e91740894d7a6c52384a0c4fe6899ebd6ceef0332
name: libnvjitlink
arch: src
version: 12.4.99
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: wks1.lab.negativo17.org
location_href: libnvjitlink-12.4.99-1.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: ece4cbeea37dce9176226b0190cb8af6ad5f2a1e9b142048b71ac961b65e5c9c
name: libnvjpeg
arch: src
version: 12.3.1.89
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: wks1.lab.negativo17.org
location_href: libnvjpeg-12.3.1.89-1.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: e75b4aea62bae9ce58d70541ed356c20dcf77036bb29f79a929dac598be67b12
name: libnvjpeg2k
arch: src
version: 0.7.5.32
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: wks1.lab.negativo17.org
location_href: libnvjpeg2k-0.7.5.32-1.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: a061adf9a58ce82d644850c99da91ab4e57d930b3c870638d1dc2f73440ffe0d
name: nvidia-driver
arch: src
version: 550.90.07
epoch: 3
release: 2.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-550.90.07-2.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 550.90.07.


pkgId: da26d943721992ebc296aef7da170465553422c8acf76a054b4c54815dc6ae41
name: nvidia-driver
arch: src
version: 555.58
epoch: 3
release: 2.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-555.58-2.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.


pkgId: d76e4294d29782fb9090cad4c93706939f339798716000dd7970efc6e5abd46a
name: nvidia-kmod
arch: src
version: 550.90.07
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-550.90.07-1.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: 49a3ff9e249ad76e7fac298edab4bbae1fc84214377185566d0251a76240bc05
name: nvidia-modprobe
arch: src
version: 550.90.07
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-550.90.07-1.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: 900726969012ed3f6358e962a6aa0df749adfb0bf8285f64ef9bad7acf43fa78
name: nvidia-persistenced
arch: src
version: 550.90.07
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-550.90.07-1.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: 05fe94f8dc14a35caef25d04c132f770de8ef440f34cea6535809340458e6a7d
name: nvidia-settings
arch: src
version: 550.90.07
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-550.90.07-1.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: 068d6c33affd0019220dd65701aa311a755d151a63cc718db5fe43bc3de94d35
name: nvidia-xconfig
arch: src
version: 550.90.07
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-550.90.07-1.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.


