Nvidia Ran Supercomputer With Thousands of GPUs 24/7 For Six Years To Train DLSS

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Ran Non-Stop To Improve DLSS Over 6 Years!

Story Highlight
  • Nvidia has a supercomputer running non-stop to improve DLSS.
  • This supercomputer is made up of thousands of GPUs and attempts to find problems like ghosting, flickering, and blurriness.
  • The company then retrains the algorithm for the best possible results.

Nvidia has proven its might in the graphics card market over the last few years, and a major component of its supremacy comes from DLSS. This AI-based upscaling technology is considered the best option for PC gaming today, evident by the fact that 80% of RTX users enable DLSS when given the opportunity.

To Nvidia’s credit, the company has made rapid improvements to the technology since its inception, introducing new elements like ray reconstruction, frame generation, and the new multi-frame generation. As per the company, these improvements have been made possible by training data on a supercomputer 24/7.

Why it matters: With hardware improvements hitting their limitations, the focus has shifted to efficient software that can complement the hardware. This is why AI-based upscaling is such a major asset.

Nvidia Trained DLSS For 6 Years
Image Showcasing DLSS Learning via Nvidia

As per Nvidia, a specific supercomputer, composed of thousands of graphics cards, is dedicated to the task of improving DLSS.

The company states that this computer has been running 24/7 for the past six years without any interruptions. This rigorous process has allowed Nvidia to meticulously dissect the flaws in its upscaling technology.

Brian Catanzaro, VP of applied deep learning and research, explained that problems like ghosting and flickering are analyzed by this process. The company then attempts to augment its data set and retrain the AI model.

Our training data sets are always growing. We’re compiling examples of what good graphics look like and what difficult problems DLSS needs to solve.

-Brian Catanzaro

Nvidia DLSS 4.0 RTX 40 Series
Frame Generation Is Also Being Improved Constantly

Ultimately, this process leads to the near-perfect image quality that fans have come to love and expect from the company. This is largely why CEO Jensen Huang seems unconcerned about the RTX 5090 pricing.

What do you think about this process? Do you also use AI-based upscaling in your games regularly? Let us know in the comments and on the Tech4Gamers Forums.

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