Nvidia claims its current Blackwell gaming GPUs already provide a 10,000x improvement in path tracing performance compared to the decade-old Pascal architecture, largely due to AI-driven hardware like RT and Tensor cores. The company projects future AI advancements will enable a 1,000,000x performance gain over Pascal, aiming for photorealistic graphics that run smoothly via neural rendering.
Nvidia states this next leap could arrive with its Rubin GPUs, slated for 2027-2028, and showcased related path tracing technologies in a tech demo. The presentation emphasized that continued progress relies on AI acceleration, not just silicon advances, to achieve real-time visuals indistinguishable from reality.
The main topics covered are Nvidia's claimed and projected path tracing performance gains, the central role of AI and dedicated hardware in achieving them, and the anticipated timeline for future GPU architectures.
Nvidia claims 1 million times better path tracing performance is coming in future gaming GPUs — says current GPUs are already 10,000x faster than Pascal
Thanks to rapid AI progress.
Get Tom's Hardware's best news and in-depth reviews, straight to your inbox.
You are now subscribed
Your newsletter sign-up was successful
Despite increasing competition from Intel and AMD, Nvidia's RTX lineup remains the best hardware for ray tracing and path tracing in games. Ever since Turing, RTX 20 series, the company has made significant strides — mostly leveraging AI and neural rendering — to increase graphical fidelity without compromising performance. Now, at GDC 2026, it's claiming that the future holds an even more impressive milestone.
During the presentation, John Spitzer (Dev & Performance VP) presented a line graph that plotted the progress of ray tracing and path tracing performance in Nvidia's gaming GPUs. At the far-left corner, we see Pascal, aka the legendary RTX 10 series, which came out a decade ago. Comparing that to today's Blackwell GPUs (RTX 50), the path tracing performance has apparently improved by 10,000 times already.
That's largely due to a focus on hardware-accelerated neural rendering enabled by dedicated RT and Tensor cores that handle machine learning inside Nvidia GPUs. Features like DLSS are entirely reliant on AI; the ability to piece together frame data more accurately in both upscaling and frame-gen situations is only possible due to models trained on Nvidia's supercomputers.
Article continues belowSpitzer says that Moore's Law is dead and that silicon advancements alone wouldn't be enough to generate photorealistic visuals in his lifetime. Nvidia wants to achieve a level of graphical fidelity that's indistinguishable from real life, but that would require a "hundred or thousand times more computational power" — this is where AI becomes the catalyst.
In the future, AI advances will take gaming GPUs to 1,000,000 times better path tracing performance when compared to the RTX 10 series. Newer, faster, more efficient hardware blocks will basically make neural rendering the default going forward, as already claimed by Nvidia CEO Jensen Huang. Games would "look like a film" while still running smoothly due to multiple frames being interpolated in real-time by AI.
None of this is a revelation — of course, things are supposed to get better over time — but the wait might not be too long. The next-gen Rubin GPUs from Nvidia, slated to launch sometime between 2027 and 2028, could usher in this 1-million-times better path tracing reality. The list of games supporting path tracing is already growing at a rapid pace, with Resident Evil Requiem being the latest addition.
As such, the presentation also included some bits about new path tracing technologies, such as ReSTIR (recent spatiotemporal resampling algorithms) and RTX Mega Geometry. To showcase this, Nvidia brought a tech demo for Witcher 4 with over two trillion triangles in the scene, depicting realistic foliage and lighting simultaneously. Make sure to check out the video linked above for more details.
Get Tom's Hardware's best news and in-depth reviews, straight to your inbox.
Follow Tom's Hardware on Google News, or add us as a preferred source, to get our latest news, analysis, & reviews in your feeds.
Hassam Nasir is a die-hard hardware enthusiast with years of experience as a tech editor and writer, focusing on detailed CPU comparisons and general hardware news. When he’s not working, you’ll find him bending tubes for his ever-evolving custom water-loop gaming rig or benchmarking the latest CPUs and GPUs just for fun.
-
Faiakes So I'll ask again, will these GPUs be available to gamers or only to Ai farms and movie studios?Reply