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lucyll

How to Rip 4K Blu ray to H 265 MP4 Utilizing NVIDIA GPU Acceleration - YouTube - 0 views

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    There are many Blu-ray Rippers on the market but few of them can rip 4K Blu-ray, especially rip 4K Blu-ray to HEVC MP4, almost all 4K Blu-ray Ripper doesn't support H.265 Encode NVIDIA NVENC or NVIDIA CUDA hardware acceleration, it will cost you too much time cause HEVC encoding is GPU-taking. Pavtube ByteCopy can give 4K Blu-ray fans a perfect solution, which is a handy 4K Blu-ray Ripper tool that allows you to rip your 4K Blu-rays to HEVC/H.265 MP4 Utilizing NVIDIA GPU Acceleration and without too much effort. It does a great job.
lucyll

ByteCopy Joined H.265 NVIDIA to 30X Realtime 4K H.265 Encoding - YouTube - 0 views

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    H.265 promises the same video quality as H.264 when using half the bitrate, so you may have thought about converting your H.264 videos to H.265/HEVC in order to reduce the space used by your videos. However, if you've ever tried to transcoding videos with tools such as handbrake, you'll know the process can be painfully slow, and a single movie may take several hours even with a machine with a power processor. Luckily, there's a better and faster solution thanks to hardware accelerated encoding available in Nvidia graphics cards. Pavtube Studio, the leader of the multimedia software developer, has made its professional Blu-ray ripping tool, Pavtube ByteCopy, joined HEVC NVIDIA to 30x realtime 4K H.265 encoding. Now,Watch this tutorial and check if your computer has CUDA-enabled GPU.
lucyll

How to Rip 4K Blu-ray to H.265 MKV Utilizing CUDA on Windows? - YouTube - 0 views

shared by lucyll on 01 Apr 17 - No Cached
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    HEVC encoding is CPU heavy and a standard 4K Blu-ray usually has two hours videos. Pavtube ByteCopy has joined H.265 NVIDIA to 30X Realtime 4K H.265 Encoding with supporting the newest NVIDIA CUDA technology in video encoding to improve performance and ensure users much faster conversion speed than ever before when ripping and converting DVD/Blu-ray, since more CPU resources are spared because of NVIDIA CUDA's harnessing the power of GPU.
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