Step 2: Choose Project Settings>General from the menu at the bottom. Step 1: To begin with, click the File drop-down menu in After Effects or Premiere Pro. In order to resolve the issue, you will need to enable GPU acceleration. You can find it in the Project Settings tab. In the Video Rendering and Effects settings, choose Mercury Software Only instead of GPU acceleration, and you will see the error message. In order to resolve this error message, you should first ensure that GPU acceleration is enabled on your computer. Solution 1: Enable Mercury GPU Acceleration There is no guarantee that they will work, but it’s worth trying. You can try these solutions to resolve the error, “this effect needs GPU acceleration” as a last resort. How To Fix This Effect Requires GPU Acceleration The official website is the best place to get the latest drivers, so download them. Obsolete Graphics Drivers: When your graphics drivers are not up to date, you may see GPU acceleration errors. You can try removing the plugin and restarting your software if that doesn’t work. Third-Party Plugins: There are times when third-party plugins can cause this problem. In devices with integrated HD graphics, this is a common problem. No Graphics Card: Without a dedicated graphics card, your system may display this error message. The error message “this effect requires GPU acceleration” can be caused by a number of factors. Reasons for This Effect Requires GPU Acceleration error You may experience performance issues as a result. In general, the higher the video quality, the more work your graphics card has to do. During the editing process, it handles a lot of work for you, such as the encoding, decoding, and rendering of 3D models while you’re editing the video. With GPU acceleration, you can render videos at a faster pace than you would normally be able to do.
Without rendering, GPU-accelerated effects and transitions can be played in real-time. GPU-accelerated computing is a technique that uses GPU and CPU to streamline operations that are processing-intensive, for example, deep learning, analytics, and engineering.
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