![]() For a full list of GPUs and formats supported, please see the available GPU Support Matrix. Ability to add your own custom high-performance CUDA filters using the shared CUDA context implementation in FFmpeg.Create high-performance end-to-end hardware-accelerated video processing, 1:N encoding and 1:N transcoding pipeline using built-in filters in FFmpeg If you're not sure which to choose, learn more about installing packages.It is open source and designed mainly for Linux but can be used in Windows using the command line. ![]()
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