Nvidia CEO Jensen Huang used the corporate’s keynote at Nvidia GTC on Monday to introduce DLSS 5, a new edition of the chipmaker’s AI graphics tech designed to make video games more realistic while using less compute power.
The brand new DLSS 5 system combines traditional 3D graphics data with generative AI models that may predict and fill in parts of a picture, allowing Nvidia’s GPUs to supply detailed scenes and lifelike characters without rendering every element from scratch.
“We fused controllable 3D graphics, the bottom truth of virtual worlds, the structured data … with generative AI, probabilistic computing,” Huang said during his keynote speech. “One in every of them is totally predictive, the opposite one is probabilistic yet highly realistic.”
Huang said combining those two ideas — structured data with generative AI — allows developers to create content that’s “beautiful, amazing, in addition to controllable.”
“This idea of fusing structured information and generative AI will repeat itself in a single industry after one other,” Huang said. “Structured data is the inspiration of trustworthy AI.”
Gaming makes up a smaller portion of Nvidia’s revenue today than it has historically, though that’s the industry that made Nvidia into what it’s today. Huang framed DLSS 5’s approach for example of a broader computing shift, suggesting the approach could extend far beyond gaming and even into enterprise computing.
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The billionaire executive pointed to enterprise data platforms comparable to Snowflake, Databricks, and BigQuery as examples of structured datasets that future AI systems could analyze and generate insights from.
“In the long run, what’s going to occur is these data structures are going to be utilized by AI, and AI goes to be much, much faster than us,” Huang said. “Future agents are going to make use of structured databases in addition to the unstructured database, the generative database. This database represents the overwhelming majority of the world.”