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 The new release candidate includes a new implementation of NVIDIAs NVENC encoder in OBS using the new NVIDIA SDK as well as implementing some new performance improvements. LUTO S 288 8.5 DESARRO LLO DEL PERALTE 290 8.6 C O NVENC IO N DEL PERALTE 291 8.7 LO NG ITUD DE TRANSIC.Granular control over encoding settings such as encoding preset, rate control and other video quality parameters.Hardware-accelerated decoding of H.264, HEVC, VP9, VP8, MPEG2, MPEG4*, and AV1.Hardware-accelerated encoding of H.264 and HEVC*.If you have an NVIDIA GPU which supports hardware-accelerated video encoding and decoding, it’s simply a matter of compiling FFmpeg binary with the required support for NVIDIA libraries and using the resulting binaries to speed up video encoding/decoding.įFmpeg supports following functionality accelerated by video hardware on NVIDIA GPUs:
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