2022年11月8日 · Once the FFmpeg binary with NVIDIA hardware acceleration support is compiled, hardware-accelerated video transcode should be tested to ensure everything works well. To automatically detect NV-accelerated video codec and keep video frames in GPU memory for transcoding, the ffmpeg cli option "-hwaccel cuda -hwaccel_output_format cude" is used in further code snippets. The NVENC plugin in FFMPEG ...

2019年7月24日 · This makes video transcoding a critical piece of an efficient video pipeline – whether it is 1:N or M:N profiles. The ideal solution for transcoding needs to be cost effective in terms of cost (Dollar/stream) and power efficiency (Watts/stream) along with delivering high quality content with maximum throughput for the datacenter.

2024年9月11日 · V-Nova, in cooperation with NVIDIA, developed an LCEVC encoder for NVIDIA GPUs. Tight integration with NVENC ensures optimal video compression performance with minimal GPU resource usage. Key use cases include ultra-low-latency pixel streaming for VR/XR, cloud gaming, and dense transcoding for video streaming.

2025年1月27日 · FFmpeg Support FFmpeg is the most popular multimedia transcoding tool used extensively for video and audio transcoding. The video hardware accelerators in NVIDIA GPUs can be effectively used with FFmpeg to significantly speed up the video decoding, encoding and end-to-end transcoding at very high performance.

2019年7月24日 · Originally published at: NVIDIA FFmpeg Transcoding Guide | NVIDIA Technical Blog All NVIDIA GPUs starting with the Kepler generation support fully-accelerated hardware video encoding, and all GPUs starting with Fermi generation support fully-accelerated hardware video decoding. As of July 2019 Kepler, Maxwell, Pascal, Volta and Turing generation GPUs support hardware encoding, and Fermi ...

2019年2月13日 · The ideal solution for transcoding needs to be cost effective (dollars/stream) and power efficient (watts/stream). Let’s look at performance and power consumption results averaged across multiple test sequences, as presented by figures 13 and 14.

Video encoding, decoding and transcoding are some of the most popular applications of FFmpeg. Thanks to the support of the FFmpeg and libav community and contributions from NVIDIA engineers, both of these tools now support native NVIDIA GPU hardware accelerated video encoding and decoding through the integration of the NVIDIA Video Codec SDK.

4 天之前 · To solve this, platforms like Twitch offer transcode - they create different versions of the stream at multiple bandwidths, and they service the best rendition every person can watch to them.

NVIDIA Media2 is the latest AI-powered initiative transforming content creation, streaming and live media experiences. Built on technologies like NVIDIA NIM microservices and AI Blueprints — and breakthrough AI applications from startups and software partners — Media2 uses AI to drive the creation of smarter, more tailored and more ...

2024年1月8日 · Streaming lower-bitrate video allows more people to watch the content seamlessly, but introduces artifacts. Twitch — the interactive livestreaming platform — provides server-side transcoding for top-performing channels, meaning it will create different versions of the same stream for different bandwidth levels, improving the viewing experience.