# packages

pkgId: 8f603401db7e375b1c3c252e9b13ea665d167463efb488edd954a62eaf87e91f
name: compat-nvidia-repo
arch: src
version: 535.104.05
epoch: 3
release: 1.el9
summary: Compatibility package required by official CUDA packages
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: compat-nvidia-repo-535.104.05-1.el9.src.rpm
checksum_type: sha256
description:
  Nvidia drivers metapackage required by official CUDA packages. It pulls in all
  Nvidia driver components.


pkgId: 93a37a14663015ecc3a95e227bfe5764de09e619a86a8183c6f9d8d664e231fc
name: cuda
arch: src
version: 12.2.53
epoch: 1
release: 1.el9
summary: NVIDIA Compute Unified Device Architecture Toolkit
url: https://developer.nvidia.com/cuda-zone
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-12.2.53-1.el9.src.rpm
checksum_type: sha256
description:
  CUDA is a parallel computing platform and programming model that enables
  dramatic increases in computing performance by harnessing the power of the
  graphics processing unit (GPU).


pkgId: bbe20c576997770e8da6b1547526cdf1865074ca8030b14a6364ec6cabf32fc2
name: cuda-cudnn
arch: src
version: 8.9.3.28
epoch: 1
release: 1.el9
summary: NVIDIA CUDA Deep Neural Network library (cuDNN)
url: https://developer.nvidia.com/cudnn
rpm_license: NVIDIA Software Development Kit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-cudnn-8.9.3.28-1.el9.src.rpm
checksum_type: sha256
description:
  The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated
  library of primitives for deep neural networks. cuDNN provides highly tuned
  implementations for standard routines such as forward and backward convolution,
  pooling, normalization, and activation layers. cuDNN is part of the NVIDIA Deep
  Learning SDK.


pkgId: fd3618b082612fc3be9493406aceb436eef8402ec82d10a0a097b00b0155b401
name: cuda-cuobjdump
arch: src
version: 12.2.53
epoch: 1
release: 1.el9
summary: Utility to extract information from CUDA binary files
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-cuobjdump-12.2.53-1.el9.src.rpm
checksum_type: sha256
description:
  cuobjdump extracts information from CUDA binary files (both standalone and those
  embedded in host binaries) and presents them in human readable format. The
  output of cuobjdump includes CUDA assembly code for each kernel, CUDA ELF
  section headers, string tables, relocators and other CUDA specific sections. It
  also extracts embedded ptx text from host binaries.


pkgId: b524be97cd524a783321f10ddb92c3fbd4808ac03ad4be30096fd9532cda1676
name: cuda-cupti
arch: src
version: 12.2.60
epoch: 1
release: 1.el9
summary: NVIDIA CUDA Profiling Tools Interface (CUPTI) library
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-cupti-12.2.60-1.el9.src.rpm
checksum_type: sha256
description:
  The NVIDIA CUDA Profiling Tools Interface (CUPTI) provides performance analysis
  tools with detailed information about how applications are using the GPUs in a
  system.


pkgId: d00c5c1a66a786c88bdb2f6c9bb8b2497ddb8ff0ca69b45f9b5e1877b24bb87e
name: cuda-gdb
arch: src
version: 12.2.53
epoch: 1
release: 1.el9
summary: CUDA GDB
url: https://developer.nvidia.com/cuda-toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-gdb-12.2.53-1.el9.src.rpm
checksum_type: sha256
description:
  CUDA-GDB is the NVIDIA tool for debugging CUDA applications. It's an extension
  to GDB, the GNU Project debugger. The tool provides developers with a mechanism
  for debugging CUDA applications running on actual hardware. This enables
  developers to debug applications without the potential variations introduced by
  simulation and emulation environments.

rpm_license:
  GPLv3+ and GPLv3+ with exceptions and GPLv2+ and GPLv2+ with exceptions and GPL+ and LGPLv2+ and LGPLv3+ and BSD and Public Domain and GFDL


pkgId: 0b6d39ef47d94f3a7a425231885a7c75aceca2c1ee1d664934d03b5c2285d706
name: cuda-memcheck
arch: src
version: 11.8.86
epoch: 1
release: 1.el9
summary: CUDA run time error detection tool for CUDA applications
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-memcheck-11.8.86-1.el9.src.rpm
checksum_type: sha256
description:
  CUDA-MEMCHECK is a functional correctness checking suite included in the CUDA
  toolkit. This suite contains multiple tools that can perform different types of
  checks.

  CUDA-MEMCHECK can be run in standalone mode where the user's application is
  started under CUDA-MEMCHECK. The memcheck tool can also be enabled in integrated
  mode inside CUDA-GDB.

  CUDA-MEMCHECK is deprecated and will be removed in a future release of the CUDA
  toolkit. Please use the compute-sanitizer as a drop-in replacement.


pkgId: e54b2f0992a11f79a3a79d07162fe71fecb14aaecb35b8556c8f25c767170c1f
name: cuda-nvcc
arch: src
version: 12.2.91
epoch: 1
release: 1.el9
summary: CUDA Compiler (NVCC)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-nvcc-12.2.91-1.el9.src.rpm
checksum_type: sha256
description:
  The compilation trajectory involves several splitting, compilation,
  preprocessing, and merging steps for each CUDA source file. It is the purpose of
  nvcc, the CUDA compiler driver, to hide the intricate details of CUDA
  compilation from developers. It accepts a range of conventional compiler
  options, such as for defining macros and include/library paths, and for steering
  the compilation process. All non-CUDA compilation steps are forwarded to a C++
  host compiler that is supported by nvcc, and nvcc translates its options to
  appropriate host compiler command line options.

  NVVM IR is a compiler IR (intermediate representation) based on the LLVM IR.
  The NVVM IR is designed to represent GPU compute kernels (for example, CUDA
  kernels). High-level language front-ends, like the CUDA C compiler front-end,
  can generate NVVM IR. The NVVM compiler (which is based on LLVM) generates PTX
  code from NVVM IR.


pkgId: 535a3de0a4fc1eb45db497657b848b994227adcd38a01820ba6383fb7cbe97ed
name: cuda-nvdisasm
arch: src
version: 12.2.53
epoch: 1
release: 1.el9
summary: Utility to extract information from CUDA binary files
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-nvdisasm-12.2.53-1.el9.src.rpm
checksum_type: sha256
description:
  nvdisasm extracts information from standalone cubin files and presents them in
  human readable format. The output of nvdisasm includes CUDA assembly code for
  each kernel, listing of ELF data sections and other CUDA specific sections.
  Output style and options are controlled through nvdisasm command-line options.
  nvdisasm also does control flow analysis to annotate jump/branch targets and
  makes the output easier to read.


pkgId: cec46f32af624e1483ff084285fca1f535293bd294a78f5b0d3059aedfaedf81
name: cuda-nvjpeg2k
arch: src
version: 0.4.0.24
epoch: 0
release: 1.el9
summary: NVIDIA JPEG 2K decoder (nvJPEG2000)
url: https://developer.nvidia.com/nvjpeg
rpm_license: NVIDIA EULA
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-nvjpeg2k-0.4.0.24-1.el9.src.rpm
checksum_type: sha256
description:
  The nvJPEG2000 library accelerates the decoding of JPEG 2000 images on NVIDIA
  GPUs. The library utilizes both CPU and GPU for decoding. Tier 2 decode stage
  (First stage of decode, refer to the JPEG 2000 specification for details.) is
  run on the CPU. All other stages of the decoding process are offloaded to the
  GPU.


pkgId: e9afeeb8a9bb189fbbddcfd77f507a54036dfcfcd86e365feff86b62ee017c45
name: cuda-nvml
arch: src
version: 12.2.81
epoch: 1
release: 1.el9
summary: NVIDIA Management library (NVML)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-nvml-12.2.81-1.el9.src.rpm
checksum_type: sha256
description:
  A C-based API for monitoring and managing various states of the NVIDIA GPU
  devices. It provides a direct access to the queries and commands exposed via
  nvidia-smi. The runtime version of NVML ships with the NVIDIA display driver.

  Each new version of NVML is backwards compatible and is intended to be a
  platform for building 3rd party applications.


pkgId: c76c119b1e66f9f60eed72655233730fbeeb40201878e5bc2cb4463342e0c7b5
name: cuda-nvprof
arch: src
version: 12.2.60
epoch: 1
release: 1.el9
summary: CUDA command line profiling tool
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-nvprof-12.2.60-1.el9.src.rpm
checksum_type: sha256
description:
  The nvprof profiling tool enables you to collect and view profiling data from
  the command-line.

  Note that Visual Profiler and nvprof will be deprecated in a future CUDA
  release. The NVIDIA Volta platform is the last architecture on which these tools
  are fully supported. It is recommended to use next-generation tools NVIDIA
  Nsight Systems for GPU and CPU sampling and tracing and NVIDIA Nsight Compute
  for GPU kernel profiling.


pkgId: 2e52709c5f070e8e961a667382bf5e6b8c974cf57fb7d4d269b385a764aaa467
name: cuda-nvprune
arch: src
version: 12.2.53
epoch: 1
release: 1.el9
summary: CUDA nvprune
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-nvprune-12.2.53-1.el9.src.rpm
checksum_type: sha256
description:
  nvprune prunes host object files and libraries to only contain device code for
  the specified targets.


pkgId: 60ff2c157ecd7aee5164f8cc704825ac37f78839261cafcd1262f5a475f0b873
name: cuda-nvrtc
arch: src
version: 12.2.91
epoch: 1
release: 1.el9
summary: CUDA runtime compilation library (NVRTC)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-nvrtc-12.2.91-1.el9.src.rpm
checksum_type: sha256
description:
  NVRTC is a runtime compilation library for CUDA C++. It accepts CUDA C++ source
  code in character string form and creates handles that can be used to obtain
  the PTX. The PTX string generated by NVRTC can be loaded by cuModuleLoadData and
  cuModuleLoadDataEx, and linked with other modules by cuLinkAddData of the CUDA
  Driver API. This facility can often provide optimizations and performance not
  possible in a purely offline static compilation.


pkgId: f598954e7c2f57b15e9e6cdc3b00c911ef69a79795e9481da64ed6c23f0dd864
name: cuda-nvtx
arch: src
version: 12.2.53
epoch: 1
release: 1.el9
summary: NVIDIA Tools Extension (NVTX) library
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-nvtx-12.2.53-1.el9.src.rpm
checksum_type: sha256
description:
  A C-based API for annotating events, code ranges, and resources in your
  applications. Applications which integrate NVTX can use the Visual Profiler to
  capture and visualize these events and ranges.


pkgId: e8595b31f55959db0698969c137281f2e7dad83f614241e41465f03956819483
name: cuda-sanitizer
arch: src
version: 12.2.53
epoch: 1
release: 1.el9
summary: CUDA Compute Sanitizer API
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: cuda-sanitizer-12.2.53-1.el9.src.rpm
checksum_type: sha256
description:
  Compute Sanitizer is a functional correctness checking suite included in the
  CUDA toolkit. It provides a set of API's to enable third party tools to write
  GPU sanitizing tools, such as memory and race checkers.


pkgId: d933a047898eac67446c39fe492129969bbe24d7901cc7e3e7f624d32135e97b
name: dkms-nvidia
arch: src
version: 535.104.05
epoch: 3
release: 1.el9
summary: NVIDIA display driver kernel module
url: http://www.nvidia.com/object/unix.html
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: dkms-nvidia-535.104.05-1.el9.src.rpm
checksum_type: sha256
description:
  This package provides the proprietary Nvidia kernel driver modules.
  The modules are rebuilt through the DKMS system when a new kernel or modules
  become available.


pkgId: 865ec4020a45226ecff8fa02f9b52ac21fe8932d9d53012af15785a1cdb3566a
name: egl-wayland
arch: src
version: 1.1.12
epoch: 0
release: 2.20230718gitea70449.el9
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.el9.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: aab06bf2be807c18654e619a2a626c5b080b6fcffad4a28898a1a70944f70966
name: libcublas
arch: src
version: 12.2.1.16
epoch: 1
release: 1.el9
summary: NVIDIA CUDA Basic Linear Algebra Subroutines (cuBLAS) libraries
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libcublas-12.2.1.16-1.el9.src.rpm
checksum_type: sha256
description:
  The NVIDIA CUDA Basic Linear Algebra Subroutines (cuBLAS) library is a
  GPU-accelerated version of the complete standard BLAS library that delivers 6x
  to 17x faster performance than the latest MKL BLAS.


pkgId: 3796f584dd38f5289b8641b36ba2e3870b21a0ab587f1018fc0fe829a8862314
name: libcufft
arch: src
version: 11.0.8.15
epoch: 2
release: 1.el9
summary: NVIDIA CUDA Fast Fourier Transform library (cuFFT) libraries
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libcufft-11.0.8.15-1.el9.src.rpm
checksum_type: sha256
description:
  The NVIDIA CUDA Fast Fourier Transform libraries (cuFFT) provide a simple
  interface for computing FFTs up to 10x faster.  By using hundreds of processor
  cores inside NVIDIA GPUs, cuFFT delivers the floating‐point performance of a
  GPU without having to develop your own custom GPU FFT implementation.


pkgId: 195def8306e45ecb4a83a28b5b78be15a2bd6af2f6c914b23ee702dd349fc008
name: libcufile
arch: src
version: 1.7.0.149
epoch: 1
release: 1.el9
summary: NVIDIA GPUDirect Storage library (cuFile)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libcufile-1.7.0.149-1.el9.src.rpm
checksum_type: sha256
description:
  NVIDIA GPUDirect Storage library is used in applications and frameworks to
  leverage GDS technology and describes the intent, context, and operation of
  those APIs, which are part of the GDS technology.

  NVIDIA® Magnum IO GPUDirect® Storage (GDS) is part of the GPUDirect family. GDS
  enables a direct data path for direct memory access (DMA) transfers between GPU
  memory and storage, which avoids a bounce buffer through the CPU. This direct
  path increases system bandwidth and decreases the latency and utilization load
  on the CPU.


pkgId: e29fae26d89ba7db0a973a13e58cfedd39f98e94160f47370cce1948d210842b
name: libcurand
arch: src
version: 10.3.3.53
epoch: 2
release: 1.el9
summary: NVIDIA CUDA Random Number Generation library (cuRAND)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libcurand-10.3.3.53-1.el9.src.rpm
checksum_type: sha256
description:
  The NVIDIA CUDA Random Number Generation library (cuRAND) delivers high
  performance GPU-accelerated random number generation (RNG). The cuRAND library
  delivers high quality random numbers 8x faster using hundreds of processor
  cores available in NVIDIA GPUs.


pkgId: 243ed4ef474d6c7c3a00fd983830c30b3c79a399fa11035ef19bbe1d72be61a9
name: libcusolver
arch: src
version: 11.5.0.53
epoch: 2
release: 1.el9
summary: NVIDIA cuSOLVER library
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libcusolver-11.5.0.53-1.el9.src.rpm
checksum_type: sha256
description:
  The NVIDIA cuSOLVER library provides a collection of dense and sparse direct
  solvers which deliver significant acceleration for Computer Vision, CFD,
  Computational Chemistry, and Linear Optimization applications.


pkgId: a77d091ef488a2a7a985f22da35e539afeb6db5355a1846e1861e96440121d23
name: libcusparse
arch: src
version: 12.1.1.53
epoch: 1
release: 1.el9
summary: NVIDIA CUDA Sparse Matrix library (cuSPARSE) library
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libcusparse-12.1.1.53-1.el9.src.rpm
checksum_type: sha256
description:
  The NVIDIA CUDA Sparse Matrix library (cuSPARSE) provides a collection of basic
  linear algebra subroutines used for sparse matrices that delivers up to 8x
  faster performance than the latest MKL. The cuSPARSE library is designed to be
  called from C or C++, and the latest release includes a sparse triangular
  solver.


pkgId: de190f310194fc77ed364381ce142f1949bf5169cab7d8f123ec19375f009bd4
name: libcusparselt
arch: src
version: 0.3.0.3
epoch: 0
release: 2.el9
summary: CUDA Library for Sparse Matrix-Matrix Multiplication
url: https://docs.nvidia.com/cuda/cusparselt/index.html
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libcusparselt-0.3.0.3-2.el9.src.rpm
checksum_type: sha256
description:
  NVIDIA cuSPARSELt is a high-performance CUDA library dedicated to general
  matrix-matrix operations in which at least one operand is a sparse matrix.

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


pkgId: 2de22a11c29969436761773387906086680205a3afbb786b72dacf0052999381
name: libnpp
arch: src
version: 12.1.1.14
epoch: 1
release: 1.el9
summary: NVIDIA Performance Primitives libraries
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libnpp-12.1.1.14-1.el9.src.rpm
checksum_type: sha256
description:
  The NVIDIA Performance Primitives library (NPP) is a collection of
  GPU-accelerated image, video, and signal processing functions that deliver 5x
  to 10x faster performance than comparable CPU-only implementations. Using NPP,
  developers can take advantage of over 1900 image processing and approx 600
  signal processing primitives to achieve significant improvements in application
  performance in a matter of hours.


pkgId: a5f50fe5881d24921b3530f0dc9873fb3ac3ca15c5d765a11970e75b8a616297
name: libnvidia-nscq
arch: src
version: 535.54.03
epoch: 1
release: 1.el9
summary: NVSwitch Configuration and Query Library (NSCQ)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: NVIDIA Driver
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libnvidia-nscq-535.54.03-1.el9.src.rpm
checksum_type: sha256
description:
  The NSCQ library currently provides topology information of the NVSwitches and
  GPUs to clients of the library such as DCGM.


pkgId: 4e78a75dc74ea40cf6df73ceca21d4e417422d2e1874adb7bc211c28a46a2f62
name: libnvjitlink
arch: src
version: 12.2.91
epoch: 1
release: 1.el9
summary: NVIDIA compiler library for JIT LTO functionality
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libnvjitlink-12.2.91-1.el9.src.rpm
checksum_type: sha256
description:
  NVJIT link compiler LTO functionality native runtime library.
  Just-in-time link-time-optimization (JIT LTO) allows developers to proved
  runtime linking of specialized kernel functions with no-call overhead.


pkgId: 179990e532e8f467cb3e28454cd233019b5ddd4f52874b675c7b8f07ca6ff494
name: libnvjpeg
arch: src
version: 12.2.0.2
epoch: 1
release: 1.el9
summary: CUDA NVIDIA JPEG decoder (nvJPEG)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libnvjpeg-12.2.0.2-1.el9.src.rpm
checksum_type: sha256
description:
  nvJPEG is a high-performance GPU-accelerated library for JPEG decoding. nvJPEG
  supports decoding of single and batched images, color space conversion, multiple
  phase decoding, and hybrid decoding using both CPU and GPU. Applications that
  rely on nvJPEG for decoding deliver higher throughput and lower latency JPEG
  decode compared CPU-only decoding.


pkgId: c188f11720b5e2310376c74c52558c9786a996be9d9b3e7265080eb4146f070e
name: libvdpau
arch: src
version: 1.5
epoch: 0
release: 11.el9
summary: Wrapper library for the Video Decode and Presentation API
url: https://www.freedesktop.org/wiki/Software/VDPAU/
rpm_license: MIT
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: libvdpau-1.5-11.el9.src.rpm
checksum_type: sha256
description:
  VDPAU is the Video Decode and Presentation API for UNIX. It provides an
  interface to video decode acceleration and presentation hardware present in
  modern GPUs.


pkgId: b6d5b2206c72fac318b06c1650b45e4e948c869b298415e4c922620f9c10cc9a
name: nvidia-driver
arch: src
version: 535.104.05
epoch: 3
release: 1.el9
summary: NVIDIA's proprietary display driver for NVIDIA graphic cards
url: http://www.nvidia.com/object/unix.html
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: nvidia-driver-535.104.05-1.el9.src.rpm
checksum_type: sha256
description:
  This package provides the most recent NVIDIA display driver which allows for
  hardware accelerated rendering with recent NVIDIA chipsets.

  For the full product support list, please consult the release notes for driver
  version 535.104.05.


pkgId: 8fcdefb11833adeda104c7c6f6ca4d1305d8be74da2e140b39c2b97042c97a30
name: nvidia-driver
arch: src
version: 535.113.01
epoch: 3
release: 1.el9
summary: NVIDIA's proprietary display driver for NVIDIA graphic cards
url: http://www.nvidia.com/object/unix.html
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: nvidia-driver-535.113.01-1.el9.src.rpm
checksum_type: sha256
description:
  This package provides the most recent NVIDIA display driver which allows for
  hardware accelerated rendering with recent NVIDIA chipsets.

  For the full product support list, please consult the release notes for driver
  version 535.113.01.


pkgId: 140b7b752459a20df297ff7b67726af19e83b5298a6c336f6273dbb16d4bfb6f
name: nvidia-kmod
arch: src
version: 535.104.05
epoch: 3
release: 1.el9
summary: NVIDIA display driver kernel module
url: http://www.nvidia.com/
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: nvidia-kmod-535.104.05-1.el9.src.rpm
checksum_type: sha256
description:
  This package provides the proprietary NVIDIA OpenGL kernel driver module.
  It is built to depend upon the specific ABI provided by a range of releases of
  the same variant of the Linux kernel and not on any one specific build.


pkgId: b54668c82db12c9a23a49434b05e9c340bfe27598f394b9e1257670da94ebd70
name: nvidia-modprobe
arch: src
version: 535.104.05
epoch: 3
release: 1.el9
summary: NVIDIA kernel module loader
url: http://www.nvidia.com/object/unix.html
rpm_license: GPLv2+
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: nvidia-modprobe-535.104.05-1.el9.src.rpm
checksum_type: sha256
description:
  This utility is used by user-space NVIDIA driver components to make sure the
  NVIDIA kernel modules are loaded and that the NVIDIA character device files are
  present.


pkgId: aba96611390741508239559bdc3d5d8e3c76766f401130d010d2f32c8b185224
name: nvidia-persistenced
arch: src
version: 535.104.05
epoch: 3
release: 1.el9
summary: A daemon to maintain persistent software state in the NVIDIA driver
url: http://www.nvidia.com/object/unix.html
rpm_license: GPLv2+
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: nvidia-persistenced-535.104.05-1.el9.src.rpm
checksum_type: sha256
description:
  The nvidia-persistenced utility is used to enable persistent software state in the NVIDIA
  driver. When persistence mode is enabled, the daemon prevents the driver from
  releasing device state when the device is not in use. This can improve the
  startup time of new clients in this scenario.


pkgId: 262be296984a9b08a6d8fef8188d5ca59921a11b9167cd99f3b634e95be7877c
name: nvidia-sdk-optix
arch: src
version: 7.5.0
epoch: 0
release: 1.el9
summary: NVIDIA OptiX Ray Tracing Engine APIs
url: https://developer.nvidia.com/optix
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: nvidia-sdk-optix-7.5.0-1.el9.src.rpm
checksum_type: sha256
description:
  An application framework for achieving optimal ray tracing performance on the
  GPU. It provides a simple, recursive, and flexible pipeline for accelerating ray
  tracing algorithms. Bring the power of NVIDIA GPUs to your ray tracing
  applications with programmable intersection, ray generation, and shading.

rpm_license:
  https://developer.download.nvidia.com/designworks/DesignWorks_SDKs_Samples_Tools_License_distrib_use_rights_2017_06_13.pdf


pkgId: b57ff8ced7b4906ed03592c24d1de04a0c087bb3d89887c235a4e3bcc824c921
name: nvidia-sdk-video-codec
arch: src
version: 12.1.14
epoch: 1
release: 1.el9
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.el9.src.rpm
checksum_type: sha256
description:
  The SDK consists of two hardware acceleration interfaces:

      NVENCODE API for video encode acceleration
      NVDECODE API for video decode acceleration

  NVIDIA GPUs contain one or more hardware-based decoder and encoder(s) (separate
  from the CUDA cores) which provides fully-accelerated hardware-based video
  decoding and encoding for several popular codecs. With decoding/encoding
  offloaded, the graphics engine and the CPU are free for other operations.

  GPU hardware accelerator engines for video decoding (referred to as NVDEC) and
  video encoding (referred to as NVENC) support faster than real-time video
  processing which makes them suitable to be used for transcoding applications, in
  addition to video playback.


pkgId: b92b7983432b1f4038ce24c18168a88f6603101bdfe17a769379ffb219c500cc
name: nvidia-settings
arch: src
version: 535.104.05
epoch: 3
release: 1.el9
summary: Configure the NVIDIA graphics driver
url: http://www.nvidia.com/object/unix.html
rpm_license: GPLv2+
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: nvidia-settings-535.104.05-1.el9.src.rpm
checksum_type: sha256
description:
  The nvidia-settings utility is a tool for configuring the NVIDIA graphics
  driver. It operates by communicating with the NVIDIA X driver, querying and
  updating state as appropriate.

  This communication is done with the NV-CONTROL X extension.


pkgId: c71747159cdb6b1f6c3841a8fa92f1eba92a7f7d5ecc28f429b64a55281e6ed6
name: nvidia-xconfig
arch: src
version: 535.104.05
epoch: 3
release: 1.el9
summary: NVIDIA X configuration file editor
url: http://www.nvidia.com/object/unix.html
rpm_license: GPLv2+
rpm_group: Unspecified
rpm_buildhost: workstation.localdomain
location_href: nvidia-xconfig-535.104.05-1.el9.src.rpm
checksum_type: sha256
description:
  nvidia-xconfig is a command line tool intended to provide basic control over
  configuration options available in the NVIDIA X driver.


