AI worlds and video games may not be as different as you might think, and Nvidia is a major name in the two arenas.
“AI is radically reshaped many industries, including games”, Jesse Clayton tell Laptop in a recent interview.
“The innovations on the AI games you see in the series (RTX) 50, like DLSS 4, require a lot of hard work and dedication of some of the best graphics and IA experts in the world within Nvidia”, said Clayton.
So how much will he shape the games in the years to come? A prediction of Clayton, which is a 19 -year -old veteran from Nvidia and its director of product management and product marketing for Windows Ai, has the answer:
“These neural rendering innovations cast the way to the future of the game.”
The NVIDIA GeForce RTX game standard
The GTX and RTX games of Nvidia have dominated the field for years. While AMD and Intel are now both discrete GPU market players, most players will always opt for the Nvidia card, thanks to its years of hardware and software optimizations.
PC equipment enthusiasts will have noticed that Nvidia’s new GPUS “Blackwell” from the RTX 50 series Always use the same TSMC 4N process with five nanometers as graphics cards in the RTX 40 series. Clayton tells Laptop that “the 4N process provides us with the best combination of performance, power and price for our GPUROCE RTX 50 GPUs” “
However, Nvidia has invested in more than equipment. “The AI software platform of Nvidia, which has been developing for more than a decade, allows developers to make the most of their RTX GPUs,” explains Clayton.
Because Nvidia considers Dlss,, NVIDIA BroadcastRTX HDR, and AS Part of the game and AI portfolios, NVIDIA’s hardware and software updates tend to include optimizations for working games and AI workflows.
Not only Nvidia pushes the pilot updates for better optimization of the game, but also NVIDIA DLSS MASS generation technology is often considered the best of the business.
With the Nvidia DLSS 4, you can still Notice a certain degradation of art When you increase a game from a lower resolution, but the frames are generated transparently, which has several advantages.
Clayton says that AI is partly responsible for this change: “AI has become an integral part of the game, content creation, development, etc. GPUs GeForce RTX are designed to accelerate these games and applications and new AI innovations that are integrated there. »»
While you can play again without AI help, NVIDIA will continue to develop and optimize for new technology. Clayton attributes AI for many recent successes of Nvidia, by wishing: “It is because of (AI) that we see the incredible progress with technologies like DLSS, Nvidia Broadcast and RTX HDR.”
Take the direction of AI
While a large part of the industry has invested in the NPU as a new AI accelerator, NVIDIA is still mainly focused on GPU focusing features and applications.
But, as Clayton says Laptop“If anything, the introduction of the NPU is the validation of appetite for AI and the need for more calculation.” The two hardware accelerators – NPU and GPU – have their individual uses.
“Although NPUs are useful for light applications and always on AI, GPUs feed the advanced workloads that we see through games, content creation, development and other use cases demanding. “
We can continue to expect an intense investment in Nvidia AI, built around the GPU. After all, “AI is perhaps the fastest technology in computer science, and there is no doubt that AI applications and AI demand are accelerating,” said Clayton. NVIDIA must therefore follow its edge, even as candidates of the AI on black horse as Deepseek appears overnight.
Because AI is still in its emerging stadium, there is a lot of things. “We are really fair at first,” he says. “The developers are starting to experiment with the workloads of the AI which include several modalities and types of models to create new generation advanced use cases, but working with AI remains a challenge.”
AI applications and features always find new areas for innovation, he continues. “We now see emerging complex workloads, such as application assistants, digital humans and autonomous agents that work through communication methods. AI capacities will only be limited by the capacities of the accelerators available to execute it. »»
NVIDIA continues to diversify its AI equipment too. “With the introduction of Project figuresFueled by the GB10 Grace Blackwell Superchip, we bring the power of the Grace Blackwell Soc (System-on-A-Chip) architecture to the Office to meet the growing AI calculation need for developers in a Compact, powerful economical system. »»
NVIDIA 2025 Road Tail and what awaits us
Nvidia also announced the RTX 5090, RTX 5080, RTX 5070 TI and RTX 5070 in January. RTX 5090 and RTX 5080 Office GPUs are already availableWith the RTX 5070 TI and RTX 5070 to come. Also announced at These 2025 were the laptop variants of the RTX 50 series, with Laptops that should be launched in March.
Nvidia and “Project Digits” Ai Mini-PC de Mediatek should be published in May.
The company’s roadmap for the future is intended to meet the ever -increasing demand for AI. “In order to accelerate (adoption of AI), we recently announced Nvidia Nim for RTX, which are prepackaged microservices which facilitate the start of work with the latest models, and IA plans for RTX, which are projects of reference for complex work flows of AI. “”
Although PC players and lovers have been skeptical about the prospect of AI improving the art, experience and pleasure of video games, if a business can convince them to open their minds to the impact Artificial intelligence would be Nvidia.