# packages

pkgId: 624cfb226ea7f38088c6e886307763c1f1a5607934ccfeabc3d6fe01995bde1b
name: compat-nvidia-repo
arch: src
version: 550.54.14
epoch: 3
release: 1.el7
summary: Compatibility package required by official CUDA packages
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: 67713695311a42c5b402abe0140a8eba
location_href: compat-nvidia-repo-550.54.14-1.el7.src.rpm
checksum_type: sha256
description:
  Nvidia drivers metapackage required by official CUDA packages. It pulls in all
  Nvidia driver components.


pkgId: 3f1fbf2ff43c96ebb5f64f7f22632b39b11d41c69649efe2585f07dcfa0d2de7
name: cuda
arch: src
version: 12.4.99
epoch: 1
release: 1.el7
summary: NVIDIA Compute Unified Device Architecture Toolkit
url: https://developer.nvidia.com/cuda-zone
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: db8239e8a7994667a66610f8f4837f9e
location_href: cuda-12.4.99-1.el7.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: 919809bf5843c3d7724bd31ed01c9ea63bb545de77ae4f6c79e3cb98960b8aba
name: cuda-cudnn
arch: src
version: 8.9.7.29
epoch: 1
release: 1.el7
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: d524949b629a48fb988e41d7c9aeec72
location_href: cuda-cudnn-8.9.7.29-1.el7.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: 0f396dcd0b8f772dc917b9a20629e1f2b4f5cc32f90f8c313e47b8b8f713a2d8
name: cuda-cuobjdump
arch: src
version: 12.3.101
epoch: 1
release: 1.el7
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: cd72d4d6fb6c4503987d3e320528eb81
location_href: cuda-cuobjdump-12.3.101-1.el7.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: 3f7ef595373c0fa3256303c46207d22af4aa2ba86b0651d5acc8f939fa7f12ce
name: cuda-cupti
arch: src
version: 12.3.101
epoch: 1
release: 1.el7
summary: NVIDIA CUDA Profiling Tools Interface (CUPTI) library
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: 9e3bccd53e164e0c9701cd0a1c465bcc
location_href: cuda-cupti-12.3.101-1.el7.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: 7bb42eb0b4f74e885f4955d2edab42b60d34b090640b23f29f0ba422b25914f4
name: cuda-gdb
arch: src
version: 12.3.101
epoch: 1
release: 1.el7
summary: CUDA GDB
url: https://developer.nvidia.com/cuda-toolkit
rpm_group: Unspecified
rpm_buildhost: 10516f17941946e0a0843062023a8b39
location_href: cuda-gdb-12.3.101-1.el7.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: 65e98bf7cac552ac5f0fe67eab4e3581d8f7377b9aedfd87e2d18d21dc150409
name: cuda-memcheck
arch: src
version: 11.8.86
epoch: 1
release: 1.el7
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: 15547782a634485a9e0c2a1feb08c639
location_href: cuda-memcheck-11.8.86-1.el7.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: 21b5594176ef5924d937991c74940839170c1d69bfee61c349dc433d7a5ee729
name: cuda-nvcc
arch: src
version: 12.3.107
epoch: 1
release: 1.el7
summary: CUDA Compiler (NVCC)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: 79d6852a9dbb4d98999e5d56eeadda8d
location_href: cuda-nvcc-12.3.107-1.el7.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: a2e4024474bb7f332b69c46518863af4c88f087fb0144e2aa1162e18dc681a75
name: cuda-nvdisasm
arch: src
version: 12.3.101
epoch: 1
release: 1.el7
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: 96622965e72a4b6aa9d6d33ef68a1a84
location_href: cuda-nvdisasm-12.3.101-1.el7.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: 41578af10393b813262de61ca1284b14c6ecef7430cc192a5744f68f3218d940
name: cuda-nvjpeg2k
arch: src
version: 0.4.0.24
epoch: 0
release: 1.el7
summary: NVIDIA JPEG 2K decoder (nvJPEG2000)
url: https://developer.nvidia.com/nvjpeg
rpm_license: NVIDIA EULA
rpm_group: Unspecified
rpm_buildhost: bc6328c0cd014b2fb434b09b23d90d22
location_href: cuda-nvjpeg2k-0.4.0.24-1.el7.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: 7234b7b39d1d7e415ee83809cde477b651c7214582771ff0ae08b60a09b325ed
name: cuda-nvml
arch: src
version: 12.3.101
epoch: 1
release: 1.el7
summary: NVIDIA Management library (NVML)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: 5ceabfcf61914c78af0a8e7d7d34ca1d
location_href: cuda-nvml-12.3.101-1.el7.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: 5719e22848bf9eaf6d387c6b92ac66ac5dc2751def22708a6bf0de49212776e0
name: cuda-nvprof
arch: src
version: 12.3.101
epoch: 1
release: 1.el7
summary: CUDA command line profiling tool
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: ca4d1142bd1c4cfdac22009b06e5c6ca
location_href: cuda-nvprof-12.3.101-1.el7.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: da5cbee9ed5ffdff653e8b8dc57564a58bfd3dae683f9bb99672833583213135
name: cuda-nvprune
arch: src
version: 12.3.101
epoch: 1
release: 1.el7
summary: CUDA nvprune
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: 3925c334254a434880fa70497847560b
location_href: cuda-nvprune-12.3.101-1.el7.src.rpm
checksum_type: sha256
description:
  nvprune prunes host object files and libraries to only contain device code for
  the specified targets.


pkgId: 73cf1b8910e64c16dd65bbb7b1a30c9f81d8318cc798a31f849dac26262bf04c
name: cuda-nvrtc
arch: src
version: 12.3.107
epoch: 1
release: 1.el7
summary: CUDA runtime compilation library (NVRTC)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: 8eab06052515475da025b34cde462e92
location_href: cuda-nvrtc-12.3.107-1.el7.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: 3af10f390aa43d3349ca66b71214e3fdb93d5c1dc73b650682d9126bffddbe18
name: cuda-nvtx
arch: src
version: 12.3.101
epoch: 1
release: 1.el7
summary: NVIDIA Tools Extension (NVTX) library
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: bb562b088b9c45908ca5abaa7338db2a
location_href: cuda-nvtx-12.3.101-1.el7.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: 17d176d334969b2d3d6119f35e2c76d7b562e8d8b9d3fe44b5ff0c51a30c288c
name: cuda-sanitizer
arch: src
version: 12.3.101
epoch: 1
release: 1.el7
summary: CUDA Compute Sanitizer API
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: 81020378878c4de7aaffe2461cd4bae0
location_href: cuda-sanitizer-12.3.101-1.el7.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: 636d940b56d1cacad1f08d531223f7ed45ca12742cebcebbe9c4f179d86d5e96
name: dkms-nvidia
arch: src
version: 550.54.14
epoch: 3
release: 1.el7
summary: NVIDIA display driver kernel module
url: http://www.nvidia.com/object/unix.html
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: e352ec798415461a933748c4364138fb
location_href: dkms-nvidia-550.54.14-1.el7.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: 86d2dc15fadc679d29b02ebacea498054ec8b0637ebd125a33ed7ebb9666cf1b
name: libcublas
arch: src
version: 12.3.4.1
epoch: 1
release: 1.el7
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: 666023af2e974edeb587864a4e26fb64
location_href: libcublas-12.3.4.1-1.el7.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: c5564c0759b8c416add453387be215f3e099659fdb9ec24a392d521ec9af5c82
name: libcufft
arch: src
version: 11.0.12.1
epoch: 2
release: 1.el7
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: cb03bfa4146a4f94a57ab87bf605fcfb
location_href: libcufft-11.0.12.1-1.el7.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: 56a454389896645889d3aaa18dc727d4ce3a20882885939b7842e6361d34c95c
name: libcufile
arch: src
version: 1.8.1.2
epoch: 1
release: 1.el7
summary: NVIDIA GPUDirect Storage library (cuFile)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: a9a4e7446e3f41918135517324717297
location_href: libcufile-1.8.1.2-1.el7.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: 89b0b762bf8268d10b91559aee98d885e8be2f84ff3570a34741eb029645db6d
name: libcurand
arch: src
version: 10.3.4.107
epoch: 2
release: 1.el7
summary: NVIDIA CUDA Random Number Generation library (cuRAND)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: b2f9135a0c504184bdb5e841c6debe59
location_href: libcurand-10.3.4.107-1.el7.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: 733262f6402cd45f25ce0564a3d5e380905dcecb9ca7cded8e514ae4f8b9bc28
name: libcusolver
arch: src
version: 11.5.4.101
epoch: 2
release: 1.el7
summary: NVIDIA cuSOLVER library
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: 9b618f7a52d540d4b4a6068db86a3345
location_href: libcusolver-11.5.4.101-1.el7.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: e5ec9f85ad1b3ea2ffb98b593138ccefbde77143493167716331a6aba3816019
name: libcusparse
arch: src
version: 12.2.0.103
epoch: 1
release: 1.el7
summary: NVIDIA CUDA Sparse Matrix library (cuSPARSE) library
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: 02bb1f4b476f4525a3ccfe3115ce9145
location_href: libcusparse-12.2.0.103-1.el7.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: 212cd6847a20c039d5b721dbbf437e7c02f87b5c618d8f0c698eccd5b2fd96d8
name: libcusparselt
arch: src
version: 0.5.2.1
epoch: 0
release: 1.el7
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: 84d66c7b549441c1bc30e3739b594819
location_href: libcusparselt-0.5.2.1-1.el7.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: a0494c08b0dd23de84bfd15f713e6fb333f3fc02c71a4cb93aaa060b19c96b9d
name: libnpp
arch: src
version: 12.2.3.2
epoch: 1
release: 1.el7
summary: NVIDIA Performance Primitives libraries
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: f873b6f3bc2b4815b01e840f56e1dbed
location_href: libnpp-12.2.3.2-1.el7.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: 414bafadff0af1de461aa76d394cdecb08cb7c9c82bdf3d85b1e737840da6abc
name: libnvfatbin
arch: src
version: 12.4.99
epoch: 1
release: 1.el7
summary: CUDA Fatbin Creator API
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: effd5c87f2ef4fafbd9ad646e876fe4e
location_href: libnvfatbin-12.4.99-1.el7.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: 3ce80a770e95fc75d84b1f555acfaf0a5aa86dcf7246e1c4851571279085f689
name: libnvidia-nscq
arch: src
version: 545.23.08
epoch: 1
release: 1.el7
summary: NVSwitch Configuration and Query Library (NSCQ)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: NVIDIA Driver
rpm_group: Unspecified
rpm_buildhost: bdf16f2c0496437abc804ebf3d535a1b
location_href: libnvidia-nscq-545.23.08-1.el7.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: a756f6c839964a7d73e1bf8b25523a3bd78ffcea89311c0ae25e026bb79f98b1
name: libnvjitlink
arch: src
version: 12.3.101
epoch: 1
release: 1.el7
summary: NVIDIA compiler library for JIT LTO functionality
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: 429743a375e34198b6542b17b6d4fee5
location_href: libnvjitlink-12.3.101-1.el7.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: b2730f54f4629529fcc6486b4537e65f317c11e994d54f56e579199920f48f21
name: libnvjpeg
arch: src
version: 12.3.0.81
epoch: 1
release: 1.el7
summary: CUDA NVIDIA JPEG decoder (nvJPEG)
url: https://developer.nvidia.com/cuda-toolkit
rpm_license: CUDA Toolkit
rpm_group: Unspecified
rpm_buildhost: d6e7ffc83ee940aaa5c9cc2ecc5d7434
location_href: libnvjpeg-12.3.0.81-1.el7.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: 7625d1fdfeaaf8149852b165686ee2a38293e264d7c673a0ebd91c4d9bdce249
name: libvdpau
arch: src
version: 1.5
epoch: 0
release: 11.el7
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: b31d8ebbc35342cf8f46726c9df3e342
location_href: libvdpau-1.5-11.el7.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: 83b4eddfa415fddb7714155dd089618c5bbcc55ac5bb3b7db0ed0b2ceb6c1d1d
name: nvidia-driver
arch: src
version: 550.54.14
epoch: 3
release: 2.el7
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: 56f47aa71d914a85b4b5042e70ec4ac4
location_href: nvidia-driver-550.54.14-2.el7.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 550.54.14.


pkgId: a6046b9fae806aa1e1eaf9c2d99fc09cd5ff76ff97d4aaae6720dffd76c1a808
name: nvidia-kmod
arch: src
version: 550.54.14
epoch: 3
release: 1.el7
summary: NVIDIA display driver kernel module
url: http://www.nvidia.com/
rpm_license: NVIDIA License
rpm_group: Unspecified
rpm_buildhost: 101dc1e7c3de4a6ca245ff45fd39f3cb
location_href: nvidia-kmod-550.54.14-1.el7.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: e0044f347586a13078f041370cf8147045c89ac227865cc89654e2b6c5f4109b
name: nvidia-modprobe
arch: src
version: 550.54.14
epoch: 3
release: 1.el7
summary: NVIDIA kernel module loader
url: http://www.nvidia.com/object/unix.html
rpm_license: GPLv2+
rpm_group: Unspecified
rpm_buildhost: 470f9df9f62e42fc8e50c25cb4ec1861
location_href: nvidia-modprobe-550.54.14-1.el7.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: aaa4164dec1d7077731cb505a3ed26b3f851ce9f0ba14628844a4bf558e5c83f
name: nvidia-persistenced
arch: src
version: 550.54.14
epoch: 3
release: 1.el7
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: 5222d9a6547347bca23844caf9bd9caa
location_href: nvidia-persistenced-550.54.14-1.el7.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: 8592557b0ee2818e361fe312bc8e622334335b541fa9f711d348cf2e6d193034
name: nvidia-sdk-optix
arch: src
version: 8.0.0
epoch: 0
release: 1.el7
summary: NVIDIA OptiX Ray Tracing Engine APIs
url: https://developer.nvidia.com/optix
rpm_group: Unspecified
rpm_buildhost: e6372747d57649e6be1a6c12c59d386c
location_href: nvidia-sdk-optix-8.0.0-1.el7.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: 9eba3aa57ae659d81fbf7f0b9d793c177a0973cd2b6e9d57420127ecdc6dc005
name: nvidia-sdk-video-codec
arch: src
version: 12.1.14
epoch: 1
release: 1.el7
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: 44453c4b95794fa69fe00382d1613328
location_href: nvidia-sdk-video-codec-12.1.14-1.el7.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: 4cf3fb575587141b65b442fa9dd98de9b898e2165904d00cbfd4afd87d2e003a
name: nvidia-settings
arch: src
version: 550.54.14
epoch: 3
release: 1.el7
summary: Configure the NVIDIA graphics driver
url: http://www.nvidia.com/object/unix.html
rpm_license: GPLv2+
rpm_group: Unspecified
rpm_buildhost: 2b3c72db675f4f59a53482cb52e68eed
location_href: nvidia-settings-550.54.14-1.el7.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: 2552a22bdfe3e3d3417417a17d64658be80183c7e596e6466c1215d8b28a4770
name: nvidia-xconfig
arch: src
version: 550.54.14
epoch: 3
release: 1.el7
summary: NVIDIA X configuration file editor
url: http://www.nvidia.com/object/unix.html
rpm_license: GPLv2+
rpm_group: Unspecified
rpm_buildhost: a7c390e708ec4241b0a390b319fba615
location_href: nvidia-xconfig-550.54.14-1.el7.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.


