Speed up Conversion Time with NVIDIA CUDA & AMD APP technology

Brorsoft software makes the most of the NVIDIA CUDA technology and AMD Accelerated Parallel Processing (APP) to extremely accelerate video encoding speed. The GPU acceleration saves users time when converting video files to another format by using H.264 or H.265 codec- supported by the latest upgrade (4.9.0.0). With a PC running on a CUDA-enabled Graphics card, or an AMD graphics card with AMD APP technology, the conversion speed of Brorsoft software is about 30X faster than before. Meanwhile, the video conversion is processing on AMD's GPU instead of your computer's CPU, so more spaces and resources of your computer CPU can be reserved for other tasks, making your computer run much smoother and faster than ever before.

Note: H.265 CUDA depends on whether your computer is geared up with H.265 encoding capable graphics card. Please refer to the document on its official website- NVIDIA Pascal GPU family.

Obviously, we can see that for fast hardware H.265 encoding speed on a Nvidia CUDA enabled Graphics card PC computer, your graphics products need support with either Maxwell (GM206) or Pascal generation GPU.

The performance of Brorsoft software with GPU acceleration

Brorsoft Software that supports CUDA and ATI Stream acceleration

Video Converter, DVD Ripper, Blu-ray Ripper, MTS/M2TSConverter, MKV Converter, MXF Converter, MOD Converter(only H.264 encoding), TOD Converter(only H.264 encoding), FLV Converter, Blu-ray Video Converter Ultimate

How to enable NVIDIA GPU Acceleration with Brorsoft Software:

Simply click Add button to load source video or movie files. Then Choose "H.264 MP4 Video" or “H.265 MP4 Video” in “Format” drop-down list. Now, move your cursor to “Tools” button on the top of the main interface to choose “Options”. Then you can enable GPU acceleration.

Supported Video Formats

Supported Graphics Card

Note: if you are using NVIDIA GeForce GTS 240 or above, you can expect a good performance when enabling CUDA to speed up the conversion process. For more detailed information, please visit: https://developer.nvidia.com/cuda-gpus.