As a thrilled enthusiast, I’m excited to share insights on the intriguing details unveiled by Nvidia regarding their upcoming GPU enhancements, primarily driven by the launch of DLSS 4. Moreover, we caught a glimpse of how some of their innovative technologies, like the novel transformer models and advanced frame generation, are set to revolutionize the gaming landscape. In an engaging conversation with Digital Foundry, Bryan Catanzaro, Nvidia’s vice president of applied deep learning research, shed light on these groundbreaking technologies.
In his discussion about creating frames, Catanzaro described how Nvidia’s Optical Flow accelerator was utilized. This technology, initially designed for research in autonomous vehicles within Nvidia’s automotive division, is a development from the company’s video encoding algorithms. However, improving Optical Flow proved challenging, so Nvidia opted to innovate with an entirely AI-driven solution for the AI-based frame generation in DLSS 4.
In Catanzaro’s words, “To create Nvidia DLSS 3 Frame Generation, we found it essential to leverage hardware acceleration for optical flow computations. We lacked sufficient Tensor Cores and a robust enough Optical Flow algorithm. At that time, we hadn’t developed a real-time Optical Flow algorithm compatible with Tensor Cores that wouldn’t exceed our compute budget. However, we had an Optical Flow accelerator that Nvidia had been developing over the years as an advancement of our video encoder technology and it has also been utilized in our automotive computer vision acceleration for autonomous vehicles.
It turned out to be logical for us to employ the given method for Nvidia DLSS 3 Frame Generation. However, implementing an algorithm like Optical Flow in hardware is quite challenging because it’s hard to enhance its performance. It essentially remains as it is, and the issues that arose from the hardware implementation of Optical Flow couldn’t be rectified by a more intelligent neural network until we decided to swap it out entirely and opt for a completely AI-driven solution instead. This is the approach we took for Frame Generation in DLSS 4.
Using the latest Transformer model, AI-driven frame generation becomes more efficient in learning things at a faster pace, all while putting less strain on GPU hardware. Although Nvidia hasn’t officially announced the release of DLSS 4 technology for older GPUs from the RTX 30 series yet, Catanzaro hints that it could be possible.
Catanzaro stated that the new transformer-based frame generation is primarily about optimizing performance, combining engineering techniques, and providing an exceptional user experience. He mentioned that they will be introducing this advanced Multi Frame Generation technology with their 50 Series, and they plan to explore what can be achieved with older hardware in the future.
Back in January at CES 2025, I got hyped when Nvidia showcased DLSS 4 alongside their new GeForce RTX 50-series graphics cards! This new tech uses smarter algorithms for some sweet features like super resolution and frame generation that’ll make my gaming experience even more immersive. And Game on!
As an avid enthusiast, I’m thrilled to share that the game-changing DLSS 4, boasting advanced efficiency, is on its way to our Nvidia GPUs! It’ll be rolled out via a seamless software update. Can’t wait to experience the difference it brings!
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2025-01-20 16:11