NVIDIA founder and CEO Jensen Huang took the stage on the Fontainebleau Las Vegas to open CES 2026, declaring that AI is scaling into each area and each gadget.
“Computing has been essentially reshaped on account of accelerated computing, on account of synthetic intelligence,” Huang stated. “What which means is a few $10 trillion or so of the final decade of computing is now being modernized to this new manner of doing computing.”
Huang unveiled Rubin, NVIDIA’s first extreme-codesigned, six-chip AI platform now in full manufacturing, and launched Alpamayo, an open reasoning mannequin household for autonomous automobile improvement — a part of a sweeping push to deliver AI into each area.
With Rubin, NVIDIA goals to “push AI to the subsequent frontier” whereas slashing the price of producing tokens to roughly one-tenth that of the earlier platform, Huang stated, making large-scale AI much more economical to deploy.
Huang additionally emphasised the function of NVIDIA open fashions throughout each area, skilled on NVIDIA supercomputers, forming a worldwide ecosystem of intelligence that builders and enterprises can construct on.
“Each single six months, a brand new mannequin is rising, and these fashions are getting smarter and smarter,” Huang stated. “Due to that, you can see the variety of downloads has exploded.”
Discover all NVIDIA information from CES on this on-line press package.
A New Engine for Intelligence: The Rubin Platform
Introducing the viewers to pioneering American astronomer Vera Rubin, after whom NVIDIA named its next-generation computing platform, Huang introduced that the NVIDIA Rubin platform, the successor to the file‑breaking NVIDIA Blackwell structure and the corporate’s first extreme-codesigned, six‑chip AI platform, is now in full manufacturing.
Constructed from the information heart outward, Rubin platform elements span:
- Rubin GPUs with 50 petaflops of NVFP4 inference
- Vera CPUs engineered for information motion and agentic processing
- NVLink 6 scale‑up networking
- Spectrum‑X Ethernet Photonics scale‑out networking
- ConnectX‑9 SuperNICs
- BlueField‑4 DPUs
Excessive codesign — designing all these elements collectively — is important as a result of scaling AI to gigascale requires tightly built-in innovation throughout chips, trays, racks, networking, storage and software program to eradicate bottlenecks and dramatically scale back the prices of coaching and inference, Huang defined.
He additionally launched AI-native storage with NVIDIA Inference Context Reminiscence Storage Platform — an AI‑native KV‑cache tier that enhances lengthy‑context inference with 5x increased tokens per second, 5x higher efficiency per TCO greenback and 5x higher energy effectivity.
Put all of it collectively and the Rubin platform guarantees to dramatically speed up AI innovation, delivering AI tokens at one-tenth the associated fee. “The sooner you practice AI fashions, the sooner you may get the subsequent frontier out to the world,” Huang stated. “That is your time to market. That is know-how management.”
Open Fashions for All
NVIDIA’s open fashions — skilled on NVIDIA’s personal supercomputers — are powering breakthroughs throughout healthcare, local weather science, robotics, embodied intelligence and autonomous driving.
“Now on prime of this platform, NVIDIA is a frontier AI mannequin builder, and we construct it in a really particular manner. We construct it utterly within the open in order that we will allow each firm, each trade, each nation, to be a part of this AI revolution.”
The portfolio spans six domains — Clara for healthcare, Earth-2 for local weather science, Nemotron for reasoning and multimodal AI, Cosmos for robotics and simulation, GR00T for embodied intelligence and Alpamayo for autonomous driving — making a basis for innovation throughout industries.
“These fashions are open to the world,” Huang stated, underscoring NVIDIA’s function as a frontier AI builder with world-class fashions topping leaderboards. “You may create the mannequin, consider it, guardrail it and deploy it.”
AI on Each Desk: RTX, DGX Spark and Private Brokers
Huang emphasised that AI’s future is just not solely about supercomputers — it’s private.
Huang confirmed a demo that includes a customized AI agent working regionally on the NVIDIA DGX Spark desktop supercomputer and embodied by a Reachy Mini robotic utilizing Hugging Face fashions — displaying how open fashions, mannequin routing and native execution flip brokers into responsive, bodily collaborators.
“The wonderful factor is that’s totally trivial now, however but, simply a few years in the past, that may have been inconceivable, completely unimaginable,” Huang stated.
The world’s main enterprises are integrating NVIDIA AI to energy their merchandise, Huang stated, citing corporations together with Palantir, ServiceNow, Snowflake, CodeRabbit, CrowdStrike, NetApp and Semantec.
“Whether or not it’s Palantir or ServiceNow or Snowflake — and lots of different corporations that we’re working with — the agentic system is the interface.”
At CES, NVIDIA additionally introduced that DGX Spark delivers as much as 2.6x efficiency for giant fashions, with new assist for Lightricks LTX‑2 and FLUX picture fashions, and upcoming NVIDIA AI Enterprise availability.
Bodily AI
AI is now grounded within the bodily world, by NVIDIA’s applied sciences for coaching, inference and edge computing.
These techniques might be skilled on artificial information in digital worlds lengthy earlier than interacting with the actual world.
Huang showcased NVIDIA Cosmos open world basis fashions skilled on movies, robotics information and simulation. Cosmos:
- Generates reasonable movies from a single picture
- Synthesizes multi‑digicam driving eventualities
- Fashions edge‑case environments from situation prompts
- Performs bodily reasoning and trajectory prediction
- Drives interactive, closed‑loop simulation
Advancing this story, Huang introduced Alpamayo, an open portfolio of reasoning imaginative and prescient language motion fashions, simulation blueprints and datasets enabling stage 4‑succesful autonomy. This contains:
- Alpamayo R1 — the primary open, reasoning VLA mannequin for autonomous driving
- AlpaSim — a totally open simulation blueprint for top‑constancy AV testing
“Not solely does it take sensor enter and prompts steering wheel, brakes and acceleration, it additionally causes about what motion it’s about to take,” Huang stated, teeing up a video displaying a automobile easily navigating busy San Francisco site visitors.
Huang introduced the primary passenger automobile that includes Alpamayo constructed on NVIDIA DRIVE full-stack autonomous automobile platform will probably be on the roads quickly within the all‑new Mercedes‑Benz CLA — with AI‑outlined driving coming to the U.S. this 12 months, and follows the CLA’s latest EuroNCAP 5‑star security score.
Huang additionally highlighted rising momentum behind DRIVE Hyperion, the open, modular, stage‑4‑prepared platform adopted by main automakers, suppliers and robotaxi suppliers worldwide.
“Our imaginative and prescient is that, sometime, each single automobile, each single truck will probably be autonomous, and we’re working towards that future,” Huang stated.
Huang was then joined on stage by a pair of tiny beeping, booping, hopping robots as he defined how NVIDIA’s full‑stack strategy is fueling a international bodily AI ecosystem.
Huang rolled a video displaying how robots are skilled in NVIDIA Isaac Sim and Isaac Lab in photorealistic, simulated worlds — earlier than highlighting the work of companions in bodily AI throughout the trade, together with Synopsys and Cadence, Boston Dynamics and Franka, and extra.
Huang additionally appeared with Siemens CEO Roland Busch on the firm’s Tuesday keynote to announce an expanded partnership, supported by a montage displaying how NVIDIA’s full stack integrates with Siemens’ industrial software program, enabling bodily AI from design and simulation by manufacturing.
“These manufacturing vegetation are going to be primarily big robots,” Huang stated at NVIDIA’s presentation on Monday.
Constructing the Future, Collectively
Huang defined that NVIDIA builds complete techniques now as a result of it takes a full, optimized stack to ship AI breakthroughs.
“Our job is to create the whole stack so that every one of you possibly can create unimaginable purposes for the remainder of the world,” he stated.
Watch the complete presentation replay:
DLSS 4.5 and Different Gaming and Creating Updates
On Monday night, NVIDIA introduced DLSS 4.5, which introduces Dynamic Multi Body Technology, a brand new 6X Multi Body Technology mode and a second-generation transformer mannequin for DLSS Tremendous Decision, so avid gamers can expertise the newest and biggest titles with enhanced efficiency and visuals.
Over 250 video games and apps now assist NVIDIA DLSS 4 know-how, with this 12 months’s largest titles including assist, together with 007 First Mild, Phantom Blade Zero, PRAGMATA and Resident Evil Requiem at launch.
RTX Remix Logic debuted, increasing the capabilities of the Remix modding platform to allow modders to set off dynamic graphics results all through a recreation based mostly on real-time recreation occasions.
Plus, NVIDIA ACE know-how demonstrated in Whole Conflict: PHARAOH showcases how AI can help gamers in navigating the complexities of the sport’s many techniques and mechanics.
In PUBG: BATTLEGROUNDS, PUBG Ally powered by NVIDIA ACE provides long-term reminiscence, evolving its intelligence and capabilities.
And G-SYNC Pulsar screens can be found this week, delivering a tear-free expertise along with a perceived 1,000Hz+ efficient movement readability and G-SYNC Ambient Adaptive Expertise — all setting a brand new gold commonplace for avid gamers.
As well as, NVIDIA is bringing GeForce RTX gaming to extra gadgets with new GeForce NOW Apps for Linux PC and Amazon Fireplace TV.
And NVIDIA RTX accelerates 4K AI video technology on PCs with LTX-2 and ComfyUI upgrades.
Learn extra about these bulletins from Monday evening at CES on this GeForce information article.
Study extra about all NVIDIA bulletins at CES.
