v0.14.0-beta

Release Highlights

Python x86_64 wheels are now available on PyPi, cvcuda-cu11 and cvcuda-cu12 for CUDA 11 and CUDA 12, respectively

pip install cvcuda-cu<CUDA_VERSION>

CV-CUDA v0.14.0 includes the following changes:​

  • New Features:​

    • Added support for SBSA ARM/Grace cuda 12, including ManyLinux2014-compliant Python wheel generation

      • We do not provide SBSA-compatible aarch64_cu11 packages yet, this will be addressed in an upcoming release

      • aarch64_cu12 packages distributed on Github and Pypi are the SBSA-compatible ones. Jetson builds can be found in explicitly named “Jetson” archives in Github release assets.

    • Added support for compiling NVCV on QNX

    • Added support for VYUY and YUV8p formats in NVCV

    • Improved test coverage for NVCV and operators

    • Minor corrections to documentation

  • Bug Fixes:​

    • Made Python cache thread-local to avoid race conditions and potential crashes in Python gilless multithreaded setups

Compatibility and Known Limitations

  • Starting with v0.14, aarch64_cu12 packages (deb, tar.xz or wheels) distributed on Github (release “assets”) and Pypi are the SBSA-compatible ones. Jetson builds (deb, tar.xz, whl) can be found in explicitly named “Jetson” archives in Github release assets.

  • We do not provide SBSA-compatible aarch64_cu11 packages yet, this will be addressed in an upcoming release.

  • Only x86_64 wheels are available on PyPi as of 02/28/25. SBSA/Grace CUDA 12 wheels will be added shortly.

For the full list, see main README on CV-CUDA GitHub.

License

CV-CUDA is licensed under the Apache 2.0 license.

Resources

  1. CV-CUDA GitHub

  2. CV-CUDA Increasing Throughput and Reducing Costs for AI-Based Computer Vision with CV-CUDA

  3. NVIDIA Announces Microsoft, Tencent, Baidu Adopting CV-CUDA for Computer Vision AI

  4. CV-CUDA helps Tencent Cloud audio and video PaaS platform achieve full-process GPU acceleration for video enhancement AI

Acknowledgements

CV-CUDA is developed jointly by NVIDIA and the ByteDance Machine Learning team.