NVIDIA Rubin Platform, Open Fashions, Autonomous Driving: NVIDIA Presents Blueprint for the Future at CES

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 system.

“Computing has been essentially reshaped because of accelerated computing, because 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 means of doing computing.”

Huang unveiled RubinNVIDIA’s first extreme-codesigned, six-chip AI platform now in full manufacturing, and Introdeced almayoan open reasoning mannequin household for autonomous automobile growth — a part of a sweeping push to carry AI into each area.

With Rubin, NVIDIA goals to “push AI to the following 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 position 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 may see the variety of downloads has exploded.”

Discover all NVIDIA information from CES on this on-line press equipment.

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 platformthe 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 middle outward, Rubin platform parts 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 parts 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 remove 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 price. “The sooner you prepare AI fashions, the sooner you may get the following 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 means. We construct it utterly within the open in order that we will allow each firm, each business, 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 position as a frontier AI builder with world-class fashions topping leaderboards. “You possibly can 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 shouldn’t be solely about supercomputers — it’s private.

Huang confirmed a demo that includes a personalised AI agent operating regionally on the NVIDIA DGX Spark desktop supercomputer and embodied via a Reachy Mini robotic utilizing Hugging Face fashions — exhibiting how open fashions, mannequin routing and native execution flip brokers into responsive, bodily collaborators.

“The superb factor is that’s totally trivial now, however but, simply a few years in the past, that will have been unimaginable, completely unimaginable,” Huang stated.

The world’s main enterprises are integrating NVIDIA AI to energy their merchandise, Huang stated, citing firms together with Palantir, ServiceNow, Snowflake, CodeRabbit, CrowdStrike, NetApp and Semantec.

“Whether or not it’s Palantir or ServiceNow or Snowflake — and lots of different firms 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 big fashions, with new help for Lightricks LTX?2 and FLUX picture fashions, and upcoming NVIDIA AI Enterprise availability.

Bodily AI

AI is now grounded within the bodily world, via NVIDIA’s applied sciences for coaching, inference and edge computing.

These methods could be skilled on artificial information in digital worlds lengthy earlier than interacting with the true world.

Huang showcased NVIDIA Cosmos open world basis fashions skilled on movies, robotics information and simulation. Cosmos:

• Generates practical 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 Alpamayoan open portfolio of reasoning imaginative and prescient language motion fashions, simulation blueprints and datasets enabling degree 4?succesful autonomy. This consists of:

• Alpamayo R1 — the primary open, reasoning VLA mannequin for autonomous driving
• AlpaSim — a completely open simulation blueprint for prime?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 exhibiting a automobile easily navigating busy San Francisco visitors.

Huang introduced the primary passenger automotive that includes Alpamayo constructed on NVIDIA DRIVE full-stack autonomous automobile platform shall be on the roads quickly within the all?new Mercedes?Benz CLA — with AI?outlined driving coming to the U.S. this yr, and follows the CLA’s current EuroNCAP 5?star security ranking.

Huang additionally highlighted rising momentum behind DRIVE Hyperionthe open, modular, degree?4?prepared platform adopted by main automakers, suppliers and robotaxi suppliers worldwide.

“Our imaginative and prescient is that, sometime, each single automotive, each single truck shall 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 exhibiting 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 business, 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 partnershipsupported by a montage exhibiting how NVIDIA’s full stack integrates with Siemens’ industrial software program, enabling bodily AI from design and simulation via manufacturing.

“These manufacturing crops are going to be basically big robots,” Huang stated at NVIDIA’s presentation on Monday.

Constructing the Future, Collectively

Huang defined that NVIDIA builds whole methods now as a result of it takes a full, optimized stack to ship AI breakthroughs.

“Our job is to create all the stack so that every one of you possibly can create unbelievable functions for the remainder of the world,” he stated.

Watch the total presentation replay:

DLSS 4.5 and Different Gaming and Creating Updates

On Monday night, NVIDIA introduced DLSS 4.5which introduces Dynamic Multi Body Era, a brand new 6X Multi Body Era mode and a second-generation transformer mannequin for DLSS Tremendous Decision, so avid gamers can expertise the newest and best titles with enhanced efficiency and visuals.

Over 250 video games and apps now help NVIDIA DLSS 4 know-how, with this yr’s greatest titles including help, 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 sport based mostly on real-time sport occasions.

Plus, NVIDIA ACE know-how demonstrated in Complete Warfare: PHARAOH showcases how AI can help gamers in navigating the complexities of the sport’s many methods and mechanics.

In PUBG: BATTLEGROUNDSPUBG Ally powered by NVIDIA ACE provides long-term reminiscence, evolving its intelligence and capabilities.

And G-SYNC Pulsar displays can be found this week, delivering a tear-free expertise along with a perceived 1,000Hz+ efficient movement readability and G-SYNC Ambient Adaptive Know-how — all setting a brand new gold normal 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 night time at CES on this GeForce information article.

Be taught extra about all NVIDIA bulletins at CES.