5/27/2023 0 Comments Newest drivers for nvidiaAnd CPUs have been improving at a slower rate than GPUs, which means the speed of more games these days are CPU bound. There are so many interesting correlations in video signals that we can learn and exploit to make the rendering process more efficient. Brute-force rendering must be replaced with neural rendering. I’m also especially proud that ADLR’s first research project is now hitting the ground today - it’s been extraordinarily satisfying to be involved with a project this long and see how the technology has come so far.ĭLSS 3 comes just at the right time, as Moore’s law is dead, meaning that we have to render smarter, not harder. We believed we could succeed at real-time frame generation but it took extraordinary perseverance and dedication from many people across the company to see it to release. I often feel that NVIDIA is uniquely good at incubating risky, groundbreaking technologies. All of NVIDIA worked together to overcome a long list of issues in image and motion quality, game integration and system latency in order to make this possible. Today, we’re releasing DLSS 3, which prominently features this technology. The potential benefits were clear: this technology would multiply the frame rate, making gaming smoother, and it would break through system limitations like CPU-boundedness while improving battery life for mobile gaming. The very first project we started was frame generation: figuring out how to use deep learning to synthesize whole frames of a video game. Six years ago, I rejoined NVIDIA to build a new applied deep learning research lab. We are using AI to generate 7 out of every 8 pixels in the video game at unprecedented levels of image quality and speed. With DLSS 3, neural rendering is really hitting its stride.
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