CES 2025: AI Advancing at ‘Incredible Pace,’ NVIDIA CEO Says

NVIDIA founder and CEO Jensen Huang kicked off CES 2025 with a 90-minute keynote that included new merchandise to advance gaming, autonomous autos, robotics, and agentic AI.

AI is advancing at an ‘unimaginable tempo,’ Huang advised an viewers of over 6,000 at CES 2025 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 autos.

Key Bulletins

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, trendy AI has essentially modified how computing works, he mentioned. “Each single layer of the know-how stack has been remodeled, an unimaginable transformation, in simply 12 years.”

Revolutionizing Graphics With GeForce RTX 50 Collection

“GeForce enabled AI to achieve the plenty, and now AI is coming residence to GeForce,” Huang mentioned.

With that, he launched the NVIDIA GeForce RTX 5090 GPU, essentially the most highly effective GeForce RTX GPU up to now, with 92 billion transistors and delivering 3,352 trillion AI operations per second (TOPS).

“Right here it’s — our brand-new GeForce RTX 50 collection, Blackwell structure,” Huang mentioned, holding the blacked-out GPU aloft and noting the way it’s capable of 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 collection are coming. The GeForce RTX 5090 and GeForce RTX 5080 desktop GPUs are scheduled to be out there Jan. 30. The GeForce RTX 5070 Ti and the GeForce RTX 5070 desktops are slated to be out there beginning in February. Laptop computer GPUs are anticipated in March.

DLSS 4 introduces Multi Body Technology, working in unison with the entire suite of DLSS applied sciences to spice up efficiency by as much as 8x. NVIDIA also unveiled NVIDIA Reflex 2, which may scale back PC latency by as much as 75%.

The newest technology of DLSS can generate three extra frames for each body we calculate, Huang defined. “In consequence, we’re capable of render at extremely excessive efficiency, as a result of AI does lots 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 essentially the most real looking 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 subsequent frontier of AI is bodily AI, Huang defined. He likened this second to the transformative affect of enormous language fashions on generative AI.

“The ChatGPT second for common robotics is simply across the nook,” he defined.

World basis fashions, like giant language fashions, are important for advancing robots and AVs, however many builders lack the sources or experience to coach these fashions from scratch, Huang defined.

Cosmos integrates generative fashions, tokenizers, and a video processing pipeline to energy bodily AI techniques like AVs and robots.

Cosmos equips AI fashions with superior simulation capabilities, enabling them to foretell and consider a number of future eventualities to pick out the very best plan of action.

Cosmos fashions course of textual content, picture, and video prompts to create detailed digital environments tailor-made for robotics and AV simulations.

Leading robotics and automotive companies, including 1X, Agile Robots, Agility, Determine AI, Foretellix, Fourier, Galbot, Hillbot, IntBot, Neura Robotics, Skild AI, Digital Incision, Waabi and XPENG, together with ridesharing big Uber, are among the many first to undertake Cosmos.

Cosmos is open license and out there on GitHub.

Empowering Builders With AI Basis Fashions

Past robotics and autonomous autos, NVIDIA is empowering builders and creators with AI basis fashions.

Huang introduced AI foundation models for RTX PCs that supercharge digital people, content material creation, productiveness and improvement.

“These AI fashions run in each single cloud as a result of NVIDIA GPUs at the moment are out there in each single cloud,” Huang mentioned. “It’s out there 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.”

Accelerated by GeForce RTX 50 Collection GPUs

These fashions — provided as NVIDIA NIM microservices — are accelerated by the brand new GeForce RTX 50 Series GPUs.

The GPUs are designed to run these fashions effectively, with assist for FP4 computing that enhances AI inference efficiency by as much as 2x whereas lowering reminiscence utilization in comparison 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 Collection GPUs. “AI PCs are coming to a house close to you,” Huang mentioned.

Whereas these instruments carry AI capabilities to private computing, NVIDIA can be advancing AI-driven options within the automotive trade, the place security and intelligence are paramount.

Improvements in Autonomous Autos

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 practical security and autonomous driving capabilities.

“The autonomous car revolution is right here,” Huang mentioned. “Constructing autonomous autos, 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, combines superior SoCs, sensors, and security techniques right into a complete suite, already adopted by automotive leaders resembling Mercedes-Benz, JLR, and Volvo Vehicles.

Huang highlighted the important function of artificial information in advancing autonomous autos. Actual-world information is proscribed, so artificial information is crucial for coaching the autonomous car information manufacturing facility, he defined.

NVIDIA Omniverse AI fashions and Cosmos to Construct Detailed Driving Eventualities

Utilizing NVIDIA Omniverse AI fashions and Cosmos, this strategy creates extremely detailed driving eventualities that considerably increase and enhance coaching datasets for autonomous autos.

Utilizing Omniverse and Cosmos, NVIDIA’s AI information manufacturing facility can scale “a whole bunch of drives into billions of efficient miles,” Huang mentioned, dramatically rising the datasets wanted for secure and superior autonomous driving.

“We’re going to have mountains of coaching information for autonomous autos,” he added.

Toyota, the world’s largest automaker, will build its next-generation vehicles on the NVIDIA DRIVE AGX Orin, operating 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 improvement rising tremendously over the subsequent a number of years,” Huang mentioned. These autos 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, check and run AI brokers wherever.

AI Blueprints allow builders to create customized brokers for automating enterprise workflows. This new providing integrates NVIDIA AI Enterprise software program, together with NIM microservices and NeMo, with main platforms like CrewAI, Each day, LangChain, LlamaIndex, and Weights & Biases.

Huang additionally unveiled Llama Nemotron, a brand new software designed to reinforce the event of generative AI fashions for enterprise purposes.

Builders can use NVIDIA NIM microservices to construct AI brokers for duties like buyer assist, fraud detection, and provide chain optimization.

Obtainable 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 trade.

Transferring past digital purposes, NVIDIA’s improvements are paving the best way for AI to revolutionize the bodily world with robotics.

“All the enabling applied sciences that I’ve been speaking about are going to make it doable for us within the subsequent a number of years to see very fast breakthroughs, stunning breakthroughs, usually robotics.”

NVIDIA Isaac GR00T Blueprint for Artificial Movement Technology

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 powers large-scale simulations of robotic fleets, enabling corporations like Accenture and KION to revolutionize warehouse automation.

These AI instruments set the stage for NVIDIA’s newest innovation: a private AI supercomputer referred to as Challenge DIGITS.

NVIDIA Unveils Challenge Digits

Placing NVIDIA Grace Blackwell on each desk and at each AI developer’s fingertips, Huang unveiled NVIDIA Project DIGITS.

“I’ve yet one more factor that I wish to present you,” Huang mentioned. “None of this might be doable if not for this unimaginable undertaking that we began a few decade in the past. Inside the corporate, it was referred to 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 — everyone who makes use of computer systems at the moment as a software — 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.”

Challenge DIGITS, NVIDIA’s smallest and strongest AI supercomputer, will launch 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 techniques, bodily AI basis fashions, and breakthroughs in agentic AI and robotics

“I wish to thank all of you in your partnership,” Huang mentioned.

See notice concerning software program product data.