Nvidia GTC 2026: AI inference fueling demand boom, $1 trillion of order flow

Nvidia CEO Jensen Huang said the company has line of sight to $1 trillion in orders, double what was predicted in November. The reason: AI inference has reached an inflection point and that's driving demand.

"We have we have reached that moment of inflection. The inference inflection has arrived," said Huang. He said there's a $1 trillion in AI demand through 2027, double what Huang projected at GTC DC.

Nvidia's Huang said the company has been on a drive to improve architecture and lower costs. "We wanted to make sure that not only were we good at training and post training, that we were incredibly good at every single phase of AI," said Huang.

This drive toward tokens per watt and improved performance will fuel demand. "Nvidia systems are the lowest cost infrastructure you can get for AI infrastructure in the world. And so, the first part was last year was all about AI for inference, and it drove this inflection point simultaneously," said Huang. "It is the only infrastructure in the world that you could go anywhere in the world and build with complete confidence. You want to put it in any of the clouds. We're delighted by that and if you want to put it on prem. We're happy about that you want to put in any country, anywhere. We are now a computing platform that runs all of AI."

Huang's setup and outlook was key to the broader theme of Nvidia GTC 2026: AI inference efficiency. "Inference is ultimate hard, and it's also ultimate important, because it drives your revenues," he said.