Nvidia Just Dropped 6 Words That Shocked Wall Street

Six Words That Lit Up Wall Street: “Vera Rubin Is in Full Production”

Nvidia CEO Jensen Huang spent much of his CES keynote focused on real-world artificial intelligence, highlighting breakthroughs in self-driving cars and robotics. But it was one short sentence — delivered about an hour into the presentation — that grabbed Wall Street’s attention:

“Vera Rubin is in full production.”

Nvidia is currently rolling out its Blackwell Ultra lineup, but the company is already preparing its next major platform as demand for computing power continues to surge. The chipmaker is expected to begin shipping Vera Rubin later this year, keeping pace with its rapid annual product cycle.

Huang said the biggest challenge facing AI today is the explosive growth in computing demand — and the fierce race among companies to run larger, faster, and more complex models.

“The race is so intense,” Huang said, as customers push to accelerate both training and inference workloads.

“Rubin arrives at exactly the right moment, as AI computing demand for both training and inference is going through the roof,” he added.

The Vera Rubin platform consists of six chips, anchored by the Vera CPU, which Huang said delivers twice the performance per watt of the world’s most advanced processors. The platform also includes the Rubin GPU, optimized for inference tasks, and a Spectrum-6 Ethernet switch, forming the networking backbone of what Huang described as future “AI factories.”

The Vera CPU and Rubin GPU were co-designed to move data faster and reduce latency — a critical advantage as AI models grow ever larger and more complex.

Nvidia’s announcement drew praise from major industry leaders. Tesla CEO Elon Musk called Rubin “a rocket engine for AI” and said it is “the infrastructure you use” to deploy models at scale. Anthropic CEO Dario Amodei said the platform’s efficiency gains will enable “longer memory, better reasoning, and more reliable outputs.”

While product launches remain a key focus for investors, Huang also used much of his keynote to outline Nvidia’s broader vision — especially around physical AI, where machines operate autonomously in the real world.

“The ChatGPT moment for physical AI is here — when machines begin to understand, reason, and act in the real world,” Huang said.

Developing physical AI has been more challenging because it requires massive real-world simulation data, but it represents a huge opportunity for Nvidia as it pushes deeper into factory automation, autonomous vehicles, and humanoid robots.

Huang showcased new advances in self-driving cars, humanlike robots, and AI agents that can help design chips. He also unveiled a new lineup of open-source autonomous driving models called Alpamayo, which he said will help move the industry toward a future where “every single car” is AI-powered.

“There’s no question in my mind now that this is going to be one of the largest robotics industries,” Huang said.

True self-driving, he added, depends on reasoning, because it’s impossible to preprogram every possible situation on the road. Instead, those situations can be broken down into smaller problems that AI systems can learn to solve.