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Best CUDA Video Converter – Convert Videos Quickly and Efficiently

Author by Charlotte

July 10, 2018

It usually spends a lot of time on converting videos in our daily life. Do you want to know any efficient method to shorten the conversion duration so as to save a lot of time? This article aims to introduce the best CUDA video converter to you to save the conversion time. Firstly, download the useful CUDA encoder to help you!

Why Do We Need CUDA Encoder?

Sometimes, it takes a lot of time to convert videos especially for those large high definition video files with high resolution and video bit rates, which not only encumbers conversion speed, but also increases the heavy burdens of CPU, even may make your computer crash!

So, is there any useful method to speed up the conversion while at the same time reducing the CPU usage? Of course, the answer is yes. Thanks to Nvidia CUDA technology, a professional video converter with CUDA GPU acceleration can easily fix your issues!

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Best CUDA Video Converter - HD Video Converter Factory Pro

You know, the traditional video converter will solely occupy a lot of CPU running, while a good Nvidia CUDA video converter can use a CUDA-enabled graphics processing unit (GPU) to speed up the conversion and share the burdens of CPU at the same time, which means the video conversion task can be done using both CPU and GPU acceleration simultaneously.

HD Video Converter Factory Pro is featured with GPU hardware acceleration which takes full advantage of Nvidia CUDA technology to greatly accelerate the video conversion speed and save your time. In addition to performing a simple 3-step GPU accelerated video encoding, it allows you to download online videos and compress videos for making video file smaller as well. What’s more, it also supports the most advanced Nvidia NVENC, Intel QSV, Multi-CPU, Hyper Threading technology. Are you interested in it? You can download the software to have a try first!

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How to Convert Video with CUDA Video Encoder Using CUDA GPU Acceleration

gpu accelerated video converter

Before start, please free downloadfree download the software.

Step1: Preparation Works for CUDA Acceleration

At first, you need to make sure that your NVIDIA graphics card can support CUDA acceleration. The detailed models can be find on the official website: https://developer.nvidia.com/cuda-gpus.

Check this legacy CUDA GPUs page if you have an older NVIDIA GPU: https://developer.nvidia.com/cuda-legacy-gpus.

Secondly, update the driver to the latest version via https://www.nvidia.com/Download/index.aspx?lang=en-us.

Step2: Turn on GPU Acceleration Function of the Software

After finished the preparation work, run HD Video Converter Factory Pro and turn on the function of GPU Acceleration by clicking the hammer icon on the upper-right side of the program > “Conversion Tab” > Tick “Enable GPU Acceleration” > “OK”.

Step3: Start the Conversion Work by Using the Best CUDA Encoder

Click “Add Files” button to import the file to the program, and then click the “Output Format” on the right side of the program to set the output format. Finally choose the output destination and click “Run” button to start the conversion work.

The video processing will be finished at high speed with NVIDIA CUDA and multi-core CPU processing technology supported.

At last...

CUDA, short for Compute Unified Device Architecture, is a parallel computing platform and application programming interface (API) model created by Nvidia, which aims to increase computing performance for general purpose processing by utilizing the power of the graphics processing unit (GPU).

This article shares the best CUDA encoder with you to help you convert video with faster speed later. I hope this article can help you! If you find this article is useful, you can share it with your friends. Download the best Nvidia CUDA video converter to have a try!

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HD Video Converter Factory Pro is not only a CUDA encoder, it also supports to download YouTube and many other online videos, even 1080P and 8K videos. It supports to edit, crop videos, etc.

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