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NVIDIA used CES 2026 to redefine what AI means. The company is no longer focused on chatbots or cloud GPUs. It is building the operating system for robots, autonomous vehicles, AI agents, digital twins, and physical industries.
The core theme was simple. AI is moving from screens into the real world.
Key highlights from NVIDIA at CES 2026::
Table of Contents
NVIDIA introduced Physical AI, meaning AI systems that can see, reason, and act in the physical world. This includes robots, self-driving cars, factories, and smart cities, all running on one NVIDIA platform.
GR00T is NVIDIA’s foundation model for robots. It allows robots to understand their environment, learn from simulation, and perform real-world tasks. This is the foundation for humanoid robots, warehouse robots, and industrial automation.
NVIDIA unveiled Alpamayo, a vision-language-action AI model for self-driving vehicles. It can analyze video, understand hazards, reason about cause and effect, and make safe driving decisions. NVIDIA confirmed that its full-stack autonomous driving system will ship in the Mercedes-Benz CLA generation starting in 2026.
NVIDIA is no longer just providing chips. It now releases its own foundation models for robotics, autonomous driving, agentic AI, healthcare, and scientific computing. NVIDIA now stands alongside OpenAI, Google, Meta, and Alibaba as a major AI model platform.
NVIDIA announced Vera Rubin, its next-generation CPU and GPU platform. It is designed for trillion-parameter AI models, robotics, real-time simulation, and massive AI workloads.
a. Vera CPU:
88 custom cores
176 threads
1.8 TB/s chip-to-chip bandwidth
1.5 TB system memory
b. Rubin GPU:
50 PFLOPS inference
35 PFLOPS training
22 TB/s HBM4 memory bandwidth
This platform is built for trillion-parameter models, robotics, simulation, and real-time AI.
NVIDIA introduced Rubin NVL72, a data-center-scale AI supercomputer that delivers exaflop-level performance with tens of terabytes of memory. This enables companies to train and run massive AI models, digital twins, and robot brains at unprecedented speed.
It delivers Exaflop-level AI performance Over 50 TB of memoryPetabytes per second of bandwidth
This lets companies train massive AI, robot brains, and digital twins far faster and cheaper than today.
NVIDIA explained that memory and context are now the biggest bottlenecks for AI. To solve this, it introduced a new Context Memory Storage Platform using BlueField-4, Spectrum-X networking, and high-speed storage to dramatically increase AI throughput and efficiency:
a. BlueField-4
b. Spectrum-X Ethernet
c. High-speed NVMe storage
This enables:
5x more AI tokens per second
5x better power efficiency
This is critical for long conversations, AI agents, enterprise AI, and robotics.
CES 2026 confirms that NVIDIA is building the backbone of the AI economy. From robots and cars to factories and digital twins, NVIDIA is positioning itself as the platform powering the next industrial revolution:
One platform
One architecture
One AI stack
Running:
Vera Rubin
Open models
Robots
Self-driving cars
Agentic AI
Digital twins
Enterprise AI
Everything runs on NVIDIA.
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