NVIDIA was one of the first companies to lay bets on artificial intelligence (AI), and the company is now reaping the benefits of those investments, as seen by the phenomenal growth it has had over the past year

After that point, NVIDIA began including Tensor Cores in all GeForce graphics cards beginning with the RTX series and moving forward

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NVIDIA developed DLSS over the course of time. Version 2.0 was able to deliver much higher quality while still maintaining its status as a performance accelerator; version 3.0 added Frame Generation

which unlocked new levels of performance, particularly in CPU-bound games; and version 3.5 focused on improving the quality of ray tracing under upscaling with the new Ray Reconstruction feature, which just recently made its debut in Cyberpunk 2077 to widespread acclaim

The graphics creation process will increasingly make use of generative artificial intelligence 

Catanzaro is referring to the “driving game” that was shown for the first time at the NeurIPS conference held in Montreal, Canada, in December of 2018

believe that in the far future, let’s say DLSS 10, there will be a completely neural rendering system that interfaces with a gaming engine in different ways

In order to get the clearest picture possible of what NVIDIA has in store for the future of neural rendering, we are going to keep a close eye on the newly published research papers