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Every year, Jensen Huang takes the stage at GTC and announces something that makes the rest of the tech world stop and stare. GTC 2026, held March 16–19 in San Jose, was no different.
This time, NVIDIA didn't just launch a new GPU. They launched an entirely new computing platform for the age of agentic AI — and it is called Vera Rubin.
The Vera Rubin platform is NVIDIA's next-generation AI computing architecture, succeeding the Blackwell platform. At GTC 2026, NVIDIA announced that Vera Rubin is now in full production with seven chips designed to handle every stage of AI — from training massive models to running them at scale.
Key highlights:
One of the most talked-about announcements was the Groq 3 LPX, a dedicated AI inference accelerator.
As AI moves from model training to model deployment at scale, the economics of inference have become critical. The Groq 3 LPX addresses this directly:
This chip is designed for one thing — running AI models as fast and cheaply as possible. That matters because most AI cost today comes from inference (answering user queries), not training.
The most surprising announcement? NVIDIA is getting serious about CPUs.
The NVIDIA Vera CPU is described as "the world's first processor purpose-built for the age of agentic AI and reinforcement learning." Key specs:
Why does NVIDIA need a CPU? Because agentic AI — AI that takes multi-step actions, browses the web, writes code, and orchestrates other AI agents — requires a different kind of computing than pure GPU-accelerated model training.
Here is a number most people overlooked: NVIDIA's networking division generated $11 billion last quarter — a 267% year-over-year increase. For the full fiscal year, networking brought in over $31 billion.
NVIDIA is no longer just a chip company. It is becoming the backbone of AI infrastructure globally.
The Vera Rubin platform signals a clear direction: AI is moving from research labs to production factories.
Hyperscalers — Amazon, Google, Meta, Microsoft — are set to spend $650 billion in 2026 on AI infrastructure. NVIDIA is positioned to capture a significant share of every dollar spent.
For businesses, this means:
NVIDIA's GTC 2026 was not just a product launch. It was a declaration that the age of AI factories has arrived. The Vera Rubin platform, Groq 3 inference chip, and agentic Vera CPU represent a complete rethink of how AI computing works — from training to deployment to edge inference.
Jensen Huang's vision of "one trillion dollars of installed base of data center infrastructure" being replaced by AI factories is no longer a distant prediction. It is happening right now.
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