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AI may move at the speed of light but Nvidia's machine learning model for frame generation took 6 years to develop
Mar 11, 2025
Turns out not all AI tech is dreamt up in a few weeks.
Earlier today we reported how Nvidia's DLSS upscaling tech went from an idea popping out of CEO Jensen Huang's head to a SIGGRAPH keynote in just two weeks. Now it turns out it took rather longer to develop the AI model for Nvidia's frame generation technology, fully six years in fact.
Again, the revelation comes from a new book on Nvidia, The Nvidia Way: Jensen Huang and the Making of a Tech Giant by Tae Kim. Development of Nvidia's Frame Generation technology, which inserts AI-rendered game frames in between frames rendered in the traditional GPU 3D pipeline, was headed up by Bryan Catanzaro at Nvidia Research.
Author Kim says Catanzaro spent six years developing a sufficiently accurate AI model for the frame generation feature. "While we were working on it, we saw continuous improvement in the quality of results, so we kept working. Most academics don't have the freedom to work on one project for six years because they need to graduate," Catanzaro explains in the book.
Kim says frame generation and DLSS more broadly are poster examples of Nvidia's new approach to gaming graphics. While Nvidia is still committed to rolling out new GPUs on a regular basis, Nvidia Research and other groups within the company would pursue additional "moonshots" in parallel.
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