Home
Nvidia’s DLSS 5 leverages generative AI to enhance photorealism in games, expanding its ambitions beyond gaming

Nvidia CEO Jensen Huang introduced DLSS 5 during the company's GTC keynote on Monday, unveiling a new version of the chipmaker's AI graphics technology aimed at making video games more realistic while using less computing power.
The new DLSS 5 system merges traditional 3D graphics data with generative AI models that can predict and fill in parts of an image, allowing Nvidia's GPUs to render detailed scenes and lifelike characters without generating every element from scratch.
"We fused controllable 3D graphics — the ground truth of virtual worlds, the structured data — with generative AI and probabilistic computing," Huang said during his keynote. "One is completely predictive, the other is probabilistic yet highly realistic."
Huang noted that combining these two ideas — structured data with generative AI — enables developers to create content that is "beautiful, amazing, and also controllable."
Loading the player…
"This concept of fusing structured information and generative AI will repeat itself across industries," Huang said. "Structured data is the foundation of trustworthy AI."
Gaming now represents a smaller share of Nvidia's revenue than it once did, though the industry is what built Nvidia into the company it is today. Huang framed DLSS 5's approach as an example of a broader shift in computing, suggesting the method could extend well beyond gaming and into enterprise computing.
The billionaire executive pointed to enterprise data platforms like Snowflake, Databricks, and BigQuery as examples of structured datasets that future AI systems could analyze and extract insights from.
"In the future, these data structures will be used by AI, and AI will be much, much faster than us," Huang said. "Future agents will use structured databases as well as unstructured databases — the generative database. This database represents the vast majority of the world."
Related article
Google Tests Remy AI Agent for Gemini as Focus Shifts to User Control
According to Business Insider, Google is testing Remy, a new AI personal agent for Gemini. This tool aims to execute tasks on behalf of users, streamlining both professional workflows and daily routines.Currently, Remy is undergoing testing in an int
Ollie bets privacy focus to win AI assistant race
To be genuinely helpful, an AI assistant must understand its user deeply. Ollie, a personal assistant designed for daily life, operates on the premise that this doesn’t require surrendering your data or compromising your privacy.While certain enterpr
How AI LIVE: London Will Explore AI & Industrial Automation
The summit will convene C-suite executives from around the globe to address pressing challenges in global industries, ranging from AI-driven disruption to economic volatility.AI LIVE: The London Summit will gather over 2,000 international leaders und
Related Special Topic Recommendations
Comments (1)
0/500

Nvidia CEO Jensen Huang introduced DLSS 5 during the company's GTC keynote on Monday, unveiling a new version of the chipmaker's AI graphics technology aimed at making video games more realistic while using less computing power.
The new DLSS 5 system merges traditional 3D graphics data with generative AI models that can predict and fill in parts of an image, allowing Nvidia's GPUs to render detailed scenes and lifelike characters without generating every element from scratch.
"We fused controllable 3D graphics — the ground truth of virtual worlds, the structured data — with generative AI and probabilistic computing," Huang said during his keynote. "One is completely predictive, the other is probabilistic yet highly realistic."
Huang noted that combining these two ideas — structured data with generative AI — enables developers to create content that is "beautiful, amazing, and also controllable."
Loading the player…
"This concept of fusing structured information and generative AI will repeat itself across industries," Huang said. "Structured data is the foundation of trustworthy AI."
Gaming now represents a smaller share of Nvidia's revenue than it once did, though the industry is what built Nvidia into the company it is today. Huang framed DLSS 5's approach as an example of a broader shift in computing, suggesting the method could extend well beyond gaming and into enterprise computing.
The billionaire executive pointed to enterprise data platforms like Snowflake, Databricks, and BigQuery as examples of structured datasets that future AI systems could analyze and extract insights from.
"In the future, these data structures will be used by AI, and AI will be much, much faster than us," Huang said. "Future agents will use structured databases as well as unstructured databases — the generative database. This database represents the vast majority of the world."
Ollie bets privacy focus to win AI assistant race
To be genuinely helpful, an AI assistant must understand its user deeply. Ollie, a personal assistant designed for daily life, operates on the premise that this doesn’t require surrendering your data or compromising your privacy.While certain enterpr
How AI LIVE: London Will Explore AI & Industrial Automation
The summit will convene C-suite executives from around the globe to address pressing challenges in global industries, ranging from AI-driven disruption to economic volatility.AI LIVE: The London Summit will gather over 2,000 international leaders und











