Nvidia GTC 2026 — The Year of Physical AI

This year, the focus was on physical AI, and in my experience something on the line of: 30% Data Centers, 30% GPUs and Hardware, 30% Robotics, 10% Software.

#Highlights from the conference

• $1 Trillion AI Infrastructure Boom, Jensen projects $1 trillion in cumulative orders for Blackwell + Vera Rubin systems through 2027 (2x 2026 estimates).
• Vera Rubin Platform Unveiled, next-gen full-stack AI platform features seven new chips, five rack-scale systems, a new Vera CPU for Agentic AI, and BlueField-4 storage. It promises major efficiency gains and starts shipping later in 2026, with even denser designs (like Kyber) coming in 2027.
• NemoClaw, everyone and their grandma are launching a personal AI agent, so now is NVIDIA turn.
• Inference Inflection & Token Economics, a massive leap in token generation performance (up to 350x in some tiers) position inference as the new economic engine of AI, with "tokens" becoming the core commodity.
• Physical AI, Gaming & Ambitious Vision, advances in robotics (e.g., Disney's Olaf), DLSS 5 for gaming, and bold plans for space-based AI data centers (Vera Rubin Space-1). Emphasis on full AI factories, open models (Nemotron ecosystem), and simulating infrastructure with Omniverse.