I’ve been using Topaz Video AI on my machine, which is pretty powerful – with 96GB of RAM, an i9-14900KF processor, and a GeForce RTX 4090 GPU. Even with the max memory set below 100% and selecting GPU as the AI processor in Topaz Video AI, I was perplexed as to why a machine with this horsepower would crash during processing.
However, after stress testing the CPU, RAM, and GPU, all of which came back without error, and ensuring my video driver is the studio version and up to date, I found a couple of workarounds that have helped me:
Machine Crashes: If your Windows system crashes using Topaz Video AI, try lowering Windows’ CPU power consumption by 1 or 2%. To do this in Windows 10 or 11, search for “Edit Power” in the Windows search bar and select “Edit power plan.”
This will take you to the Power Control Panel. From there, click on “Change plan settings” next to your desired power plan, then select “Change advanced power settings.” Look for the “Processor power management” option, expand it, and then adjust the “Maximum processor state” downward by 1 or 2%. I have mine set to 98%. This tweak has helped me prevent crashes during processing. Lowering the power consumption might change the FPS processing rate by 2 FPS. I’d rather have a slight speed reduction than a crash and an unusable clip.
Clip Encoding Errors: Sometimes, even without a crash, Topaz Video AI might stop with an error for a particular clip. In such cases, I’ve successfully reencoded the clip using Handbrake. After reencoding, I upscale/enhance the clip with Topaz, which usually works without any issues.
It would be great if TVAI could somehow limit the CPU power consumption from inside the app while it’s running. Regardless, I love using Topaz Video AI, and I hope these workarounds help you too!