NVIDIA founder and CEO Jensen Huang kicked off CES 2025 with a 90-minute keynote that included new merchandise to advance gaming, autonomous automobiles, robotics, and agentic AI.
AI has been “advancing at an unimaginable tempo,” he mentioned earlier than an viewers of greater than 6,000 packed into the Michelob Extremely Enviornment in Las Vegas.
“It began with notion AI — understanding photos, phrases, and sounds. Then generative AI — creating textual content, photos and sound,” Huang mentioned. Now, we’re getting into the period of “bodily AI, AI that may proceed, motive, plan and act.”
NVIDIA GPUs and platforms are on the coronary heart of this transformation, Huang defined, enabling breakthroughs throughout industries, together with gaming, robotics and autonomous automobiles (AVs).
Huang’s keynote showcased how NVIDIA’s newest improvements are enabling this new period of AI, with a number of groundbreaking bulletins, together with:
Huang began off his speak by reflecting on NVIDIA’s three-decade journey. In 1999, NVIDIA invented the programmable GPU. Since then, fashionable AI has essentially modified how computing works, he mentioned. “Each single layer of the expertise stack has been reworked, an unimaginable transformation, in simply 12 years.”
Revolutionizing Graphics With GeForce RTX 50 Sequence
“GeForce enabled AI to succeed in the lots, and now AI is coming residence to GeForce,” Huang mentioned.
With that, he launched the NVIDIA GeForce RTX 5090 GPU, probably the most highly effective GeForce RTX GPU to this point, with 92 billion transistors and delivering 3,352 trillion AI operations per second (TOPS).
“Right here it’s — our brand-new GeForce RTX 50 sequence, Blackwell structure,” Huang mentioned, holding the blacked-out GPU aloft and noting the way it’s in a position to harness superior AI to allow breakthrough graphics. “The GPU is only a beast.”
“Even the mechanical design is a miracle,” Huang mentioned, noting that the graphics card has two cooling followers.
Extra variations within the GPU sequence are coming. The GeForce RTX 5090 and GeForce RTX 5080 desktop GPUs are scheduled to be accessible Jan. 30. The GeForce RTX 5070 Ti and the GeForce RTX 5070 desktops are slated to be accessible beginning in February. Laptop computer GPUs are anticipated in March.
DLSS 4 introduces Multi Body Era, working in unison with the whole suite of DLSS applied sciences to spice up efficiency by as much as 8x. NVIDIA additionally unveiled NVIDIA Reflex 2, which may cut back PC latency by as much as 75%.
The newest technology of DLSS can generate three further frames for each body we calculate, Huang defined. “Consequently, we’re in a position to render at extremely excessive efficiency, as a result of AI does so much much less computation.”
RTX Neural Shaders use small neural networks to enhance textures, supplies and lighting in real-time gameplay. RTX Neural Faces and RTX Hair advance real-time face and hair rendering, utilizing generative AI to animate probably the most lifelike digital characters ever. RTX Mega Geometry will increase the variety of ray-traced triangles by as much as 100x, offering extra element.
Advancing Bodily AI With Cosmos|
Along with developments in graphics, Huang launched the NVIDIA Cosmos world basis mannequin platform, describing it as a game-changer for robotics and industrial AI.
The following frontier of AI is bodily AI, Huang defined. He likened this second to the transformative impression of enormous language fashions on generative AI.
“The ChatGPT second for common robotics is simply across the nook,” he defined.
Like giant language fashions, world basis fashions are basic to advancing robotic and AV growth, but not all builders have the experience and assets to coach their very own, Huang mentioned.
Cosmos integrates generative fashions, tokenizers, and a video processing pipeline to energy bodily AI methods like AVs and robots.
Cosmos goals to convey the ability of foresight and multiverse simulation to AI fashions, enabling them to simulate each attainable future and choose optimum actions.
Cosmos fashions ingest textual content, picture or video prompts and generate digital world states as movies, Huang defined. “Cosmos generations prioritize the distinctive necessities of AV and robotics use circumstances like real-world environments, lighting and object permanence.”
Main robotics and automotive corporations, together with 1X, Agile Robots, Agility, Determine AI, Foretellix, Fourier, Galbot, Hillbot, IntBot, Neura Robotics, Skild AI, Digital Incision, Waabi and XPENG, together with ridesharing large Uber, are among the many first to undertake Cosmos.
As well as, Hyundai Motor Group is adopting NVIDIA AI and Omniverse to create safer, smarter automobiles, supercharge manufacturing and deploy cutting-edge robotics.
Cosmos is open license and accessible on GitHub.
Empowering Builders With AI Basis Fashions
Past robotics and autonomous automobiles, NVIDIA is empowering builders and creators with AI basis fashions.
Huang launched AI basis fashions for RTX PCs that supercharge digital people, content material creation, productiveness and growth.
“These AI fashions run in each single cloud as a result of NVIDIA GPUs at the moment are accessible in each single cloud,” Huang mentioned. “It’s accessible in each single OEM, so you may actually take these fashions, combine them into your software program packages, create AI brokers and deploy them wherever the purchasers wish to run the software program.”
These fashions — provided as NVIDIA NIM microservices — are accelerated by the brand new GeForce RTX 50 Sequence GPUs.
The GPUs have what it takes to run these swiftly, including assist for FP4 computing, boosting AI inference by as much as 2x and enabling generative AI fashions to run domestically in a smaller reminiscence footprint in contrast with previous-generation {hardware}.
Huang defined the potential of latest instruments for creators: “We’re creating an entire bunch of blueprints that our ecosystem may reap the benefits of. All of that is utterly open supply, so you may take it and modify the blueprints.”
High PC producers and system builders are launching NIM-ready RTX AI PCs with GeForce RTX 50 Sequence GPUs. “AI PCs are coming to a house close to you,” Huang mentioned.
Whereas these instruments convey AI capabilities to private computing, NVIDIA can be advancing AI-driven options within the automotive business, the place security and intelligence are paramount.
Improvements in Autonomous Automobiles
Huang introduced the NVIDIA DRIVE Hyperion AV platform, constructed on the brand new NVIDIA AGX Thor system-on-a-chip (SoC), designed for generative AI fashions and delivering superior purposeful security and autonomous driving capabilities.
“The autonomous automobile revolution is right here,” Huang mentioned. “Constructing autonomous automobiles, like all robots, requires three computer systems: NVIDIA DGX to coach AI fashions, Omniverse to check drive and generate artificial information, and DRIVE AGX, a supercomputer within the automotive.”
DRIVE Hyperion, the primary end-to-end AV platform, integrates superior SoCs, sensors, and security methods for next-gen automobiles, a sensor suite and an lively security and degree 2 driving stack, with adoption by automotive security pioneers similar to Mercedes-Benz, JLR and Volvo Vehicles.
Huang highlighted the important position of artificial information in advancing autonomous automobiles. Actual-world information is proscribed, so artificial information is important for coaching the autonomous automobile information manufacturing facility, he defined.
Powered by NVIDIA Omniverse AI fashions and Cosmos, this strategy “generates artificial driving eventualities that improve coaching information by orders of magnitude.”
Utilizing Omniverse and Cosmos, NVIDIA’s AI information manufacturing facility can scale “a whole lot of drives into billions of efficient miles,” Huang mentioned, dramatically growing the datasets wanted for secure and superior autonomous driving.
“We’re going to have mountains of coaching information for autonomous automobiles,” he added.
Toyota, the world’s largest automaker, will construct its next-generation automobiles on the NVIDIA DRIVE AGX Orin, working the safety-certified NVIDIA DriveOS working system, Huang mentioned.
“Simply as pc graphics was revolutionized at such an unimaginable tempo, you’re going to see the tempo of AV growth growing tremendously over the subsequent a number of years,” Huang mentioned. These automobiles will provide functionally secure, superior driving help capabilities.
Agentic AI and Digital Manufacturing
NVIDIA and its companions have launched AI Blueprints for agentic AI, together with PDF-to-podcast for environment friendly analysis and video search and summarization for analyzing giant portions of video and pictures — enabling builders to construct, take a look at and run AI brokers wherever.
AI Blueprints empower builders to deploy customized brokers for automating enterprise workflows This new class of accomplice blueprints integrates NVIDIA AI Enterprise software program, together with NVIDIA NIM microservices and NVIDIA NeMo, with platforms from main suppliers like CrewAI, Day by day, LangChain, LlamaIndex and Weights & Biases.
Moreover, Huang introduced new Llama Nemotron.
Builders can use NVIDIA NIM microservices to construct AI brokers for duties like buyer assist, fraud detection, and provide chain optimization.
Accessible as NVIDIA NIM microservices, the fashions can supercharge AI brokers on any accelerated system.
NVIDIA NIM microservices streamline video content material administration, boosting effectivity and viewers engagement within the media business.
Shifting past digital purposes, NVIDIA’s improvements are paving the best way for AI to revolutionize the bodily world with robotics.
“The entire enabling applied sciences that I’ve been speaking about are going to make it attainable for us within the subsequent a number of years to see very speedy breakthroughs, shocking breakthroughs, basically robotics.”
In manufacturing, the NVIDIA Isaac GR00T Blueprint for artificial movement technology will assist builders generate exponentially giant artificial movement information to coach their humanoids utilizing imitation studying.
Huang emphasised the significance of coaching robots effectively, utilizing NVIDIA’s Omniverse to generate tens of millions of artificial motions for humanoid coaching.
The Mega blueprint allows large-scale simulation of robotic fleets, adopted by leaders like Accenture and KION for warehouse automation.
These AI instruments set the stage for NVIDIA’s newest innovation: a private AI supercomputer known as Challenge DIGITS.
NVIDIA Unveils Challenge Digits
Placing NVIDIA Grace Blackwell on each desk and at each AI developer’s fingertips, Huang unveiled NVIDIA Challenge DIGITS.
“I’ve yet one more factor that I wish to present you,” Huang mentioned. “None of this could be attainable if not for this unimaginable undertaking that we began a few decade in the past. Inside the corporate, it was known as Challenge DIGITS — deep studying GPU intelligence coaching system.”
Huang highlighted the legacy of NVIDIA’s AI supercomputing journey, telling the story of how in 2016 he delivered the primary NVIDIA DGX system to OpenAI. “And clearly, it revolutionized synthetic intelligence computing.”
The brand new Challenge DIGITS takes this mission additional. “Each software program engineer, each engineer, each artistic artist — all people who makes use of computer systems right now as a instrument — will want an AI supercomputer,” Huang mentioned.
Huang revealed that Challenge DIGITS, powered by the GB10 Grace Blackwell Superchip, represents NVIDIA’s smallest but strongest AI supercomputer. “That is NVIDIA’s newest AI supercomputer,” Huang mentioned, showcasing the gadget. “It runs your complete NVIDIA AI stack — all of NVIDIA software program runs on this. DGX Cloud runs on this.”
The compact but highly effective Challenge DIGITS is anticipated to be accessible in Could.
A 12 months of Breakthroughs
“It’s been an unimaginable yr,” Huang mentioned as he wrapped up the keynote. Huang highlighted NVIDIA’s main achievements: Blackwell methods, bodily AI basis fashions, and breakthroughs in agentic AI and robotics
“I wish to thank all of you in your partnership,” Huang mentioned.
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