Nvidia CEO Jensen Huang said computing resources are “skyrocketing” as AI computing power needs rise and companies compete to train larger models.
Huang spoke on Monday in Las Vegas during a Nvidia live event, where he described an “intense race” tied to how fast firms can compute.
“The amount of computation necessary for AI is skyrocketing,”
Huang said. He added:
“The demand for Nvidia GPUs is skyrocketing.”
Huang linked Nvidia GPU demand to model growth.
“It’s skyrocketing because models are increasing by a factor of 10, an order of magnitude every single year,”
he said.
He said the race centers on speed and capacity.
“Everybody’s trying to get to the next level and somebody is getting to the next level,”
Huang said.
He then described why AI computing power drives decisions.
“And so therefore, all of it is a computing problem,”
Huang said.
“The faster you compute, the sooner you can get to the next level of the next frontier.”
Nvidia GPU Demand and AI Computing Power Shift Focus for Bitcoin Mining
The report said rising AI computing power demand could affect how much capacity stays available for crypto mining and Bitcoin mining.
Over the past two years, several Bitcoin miners have shifted some operations toward AI computing, according to the report.
The shift followed pressure inside Bitcoin mining economics. The report pointed to Bitcoin mining difficulty rising over time, which can narrow returns.
As difficulty rises, some Bitcoin miners have looked for other ways to use sites and equipment. As a result, AI computing power work can compete with Bitcoin mining for resources.
The report said AI work may also help miners use infrastructure beyond mining cycles. That includes power, cooling, and data center space used for AI computing.
The same trend also links back to Nvidia GPU demand. When more operators chase AI computing power, competition for chips can tighten.
The report framed the issue as a question of allocation. If computing resources move toward AI first, less may remain for mining focused uses.
Related coverage referenced models that estimate Bitcoin and altcoin price ranges in 2026, though the report focused on hardware demand rather than price action.
Rubin Vera Chips Enter Full Production as Nvidia Targets 5 Times AI Computing
During the Las Vegas event, Jensen Huang also discussed Nvidia’s next platform and said the Rubin Vera chips are in “full production.”
Huang said the schedule remains on track. He described Rubin and Vera as designed to work together.
He said the Rubin and Vera combination can deliver five times more artificial intelligence computing performance than earlier models.
The five times claim adds a clear benchmark for buyers planning future capacity. It also sets a reference point for how quickly AI computing power needs could expand.
The update placed Rubin Vera chips inside Nvidia’s wider effort to supply the next round of model training and deployment.
It also ties back to Huang’s point on “skyrocketing” computing resources demand.
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Tatevik Avetisyan is an editor at Kriptoworld who covers emerging crypto trends, blockchain innovation, and altcoin developments. She is passionate about breaking down complex stories for a global audience and making digital finance more accessible.
📅 Published: January 6, 2026 • 🕓 Last updated: January 6, 2026
