v0.15.0-beta

Release Highlights

CV-CUDA v0.15.0 includes the following changes:​

• New Features:​

  • Added support for Python 3.12 and 3.13​

  • Added artifacts for CUDA 11 ARM/SBSA

  • Added Hello World sample

  • Added tests for multiple operators

• Bug Fixes:

  • Fixed issue with Python wheels packaging the CUDA runtime and creating potential mismatch with driver version on host system

  • Fixed codeQL SAST findings

Compatibility and Known Limitations

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. Optimizing Microsoft Bing Visual Search with NVIDIA Accelerated Libraries

3. Accelerating AI Pipelines: Boosting Visual Search Efficiency

4. Optimize Short-Form Video Processing Toward the Speed of Light

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

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

7. 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.