NVIDIA's DLSS, since its debut in the initial RTX series, has undergone significant development with each GPU generation. While it was first introduced as a tool for game quality enhancement, recent insights from Bryan Cantanzaro in an interview with DF. There's a growing sentiment within NVIDIA that the role of artificial intelligence (AI) in the gaming industry will expand. According to Cantanzaro, AI, with access to vast databases, can efficiently handle complex functions, often outperforming manually crafted algorithms.

“Just making all of this work in real time in 2108 was visionary for the time. The image quality we got certainly wasn't close to what Cyberpunk 2077 is today , but I think in the long run, it's where the graphics industry is headed. We will increasingly use generative AI for graphic processes.

I think we're going to have greater realism and hopefully also make it cheaper to create AAA environments by moving to much, much more neural representation. I think it will be a gradual process. The thing about traditional 3D Pipeline and game engines is that it's controllable: you can have teams of artists build things and they have coherent stories, locations, everything. In fact, you can build a world with these tools. Surely we are going to need those tools. I don't think AI is going to create games in a way where you just write a paragraph about how to make a Cyberpunk type game and then something as good as Cyberpunk 2077 comes out. I do think that, DLSS 10 in the distant future will be a system of completely neural rendering that will interact with a game engine in different ways and, therefore, will be more immersive and more beautiful,” explained Cantanzaro.

NVIDIA's projection for DLSS's future is multifaceted. Beyond improving graphics and conserving computational resources, the technology might also contribute to cost savings in production, expedite game development timelines, and introduce various other advantages.