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.. _v0.16.0-beta:

v0.16.0-beta
============

Release Highlights
------------------

CV-CUDA v0.16.0 includes the following changes:​

* **New Features and Enhancements**:​

  * Added support for Python 3.14​, CUDA 13, GCC-12 to GCC-14 and Blackwell GPU architecture, including Jetson Thor

  * Improved documentation, :doc:`samples <../samples>` and :doc:`framework interoperability <../interoperability>` examples

  * Added new multi-architecture (x86_64, aarch64) Docker images for building (ManyLinux-based) and developing CV-CUDA (Ubuntu-based)

  * Improved Python wheels generation and packaging​

* **Bug Fixes**:

  * Fixed Coverity security findings​

* **Deprecated Features**:

  * Dropped official support for CUDA 11

  * Dropped official support for CUDA Compute Capability SM7 (Volta architecture)

  * Dropped official support for Ubuntu 20.04

  * Dropped official support for Python 3.8


Compatibility and Known Limitations
-----------------------------------

For the full list, see main README on `CV-CUDA GitHub <https://github.com/CVCUDA/CV-CUDA>`_.

License
-------

CV-CUDA is licensed under the `Apache 2.0 <https://github.com/CVCUDA/CV-CUDA/blob/main/LICENSE.md>`_ license.

Resources
---------

1. `CV-CUDA GitHub <https://github.com/CVCUDA/CV-CUDA>`_
2. `Optimizing Microsoft Bing Visual Search with NVIDIA Accelerated Libraries <https://developer.nvidia.com/blog/optimizing-microsoft-bing-visual-search-with-nvidia-accelerated-libraries/>`_
3. `Accelerating AI Pipelines: Boosting Visual Search Efficiency <https://www.nvidia.com/en-us/on-demand/session/gtc25-s71676/>`_
4. `Optimize Short-Form Video Processing Toward the Speed of Light <https://www.nvidia.com/en-us/on-demand/session/gtc25-s73178/>`_
5. `CV-CUDA Increasing Throughput and Reducing Costs for AI-Based Computer Vision with CV-CUDA <https://developer.nvidia.com/blog/increasing-throughput-and-reducing-costs-for-computer-vision-with-cv-cuda/>`_
6. `NVIDIA Announces Microsoft, Tencent, Baidu Adopting CV-CUDA for Computer Vision AI <https://blogs.nvidia.com/blog/2023/03/21/cv-cuda-ai-computer-vision/>`_
7. `CV-CUDA helps Tencent Cloud audio and video PaaS platform achieve full-process GPU acceleration for video enhancement AI <https://developer.nvidia.com/zh-cn/blog/cv-cuda-high-performance-image-processing/>`_

Acknowledgements
----------------

CV-CUDA originated as a collaborative effort between NVIDIA and the ByteDance Machine Learning team.
