Nvidia CEO Jensen Huang announced at CES 2026 that the company's next-generation AI superchip platform, Vera Rubin, is now in full production. The platform, first revealed in 2024, promises to reduce costs for training and running AI models. Customers can expect deliveries later this year.
At the Consumer Electronics Show (CES) in Las Vegas on January 5, 2026, Nvidia CEO Jensen Huang revealed significant progress on the firm's AI hardware roadmap. During his keynote, Huang stated, “Today, I can tell you that Vera Rubin is in full production,” confirming that the next-generation AI superchip platform is on track for customer shipments later in 2026.
Vera Rubin builds on Nvidia's integrated computing platform, aiming to sharply cut the expenses associated with training and operating AI models. First announced in 2024, the platform powers supercomputers with advanced components: each Vera CPU features 88 custom Olympus cores, 1.5 terabytes of system memory, and 227 billion transistors, while the Rubin GPU boasts 336 billion transistors. A complete Vera Rubin supercomputer incorporates a pair of these CPUs and GPUs.
Huang's presentation also touched on broader AI advancements, including the launch of Alpamayo, a family of open-source reasoning models for autonomous vehicles. Among them, Alpamayo 1 is a 10-billion-parameter chain-of-thought system designed to handle complex driving scenarios by breaking them into manageable steps and explaining its decisions, mimicking human-like reasoning. A companion model, AlpaSim, enables closed-loop training for rare real-world driving situations. Huang highlighted that the 2025 Mercedes-Benz CLA will be the first vehicle to integrate Nvidia's full autonomous vehicle stack, including Alpamayo. He envisioned a future where “every single car, every single truck, will be autonomous.”
Additionally, Huang discussed the evolving “physical AI” landscape, noting that “the entire stack is being changed” in preparation for next-generation AI applications. While no new consumer GPU updates were shared, the announcements underscore Nvidia's dominance in AI and semiconductors amid growing data center demands.
