Nvidia to Build US AI Supercomputers, Reports $500B Chip Demand

Key Takeaways

• Nvidia to build seven AI supercomputers for US Department of Energy
• $500 billion in chip bookings confirmed for next five quarters
• Major partnerships announced with Nokia, Palantir, and Uber
• Company expanding beyond data centers into telecom, automotive, and government sectors

Nvidia will construct seven advanced AI supercomputers for the U.S. Department of Energy while securing $500 billion in chip bookings, CEO Jensen Huang announced during the company’s GTC event in Washington D.C.

The semiconductor leader revealed multiple strategic expansions beyond its core data center business, including telecommunications partnerships, self-driving car technology, and government collaborations.

Department of Energy Supercomputers

The seven supercomputers will serve dual purposes: maintaining America’s nuclear weapons arsenal and researching alternative energy sources like nuclear fusion. Oracle will collaborate on the largest system, which will incorporate 100,000 Nvidia Blackwell chips.

“Putting the weight of the nation behind pro-energy growth completely changed the game,” Huang said. “If this didn’t happen, we could have been in a bad situation, and I want to thank President Trump for that.”

$500 Billion Chip Backlog

Nvidia has accumulated $500 billion in bookings for its Blackwell and Rubin AI chips over the coming five quarters, reflecting unprecedented demand for artificial intelligence processing power.

The company’s shares climbed 3.3% to $197.82 following the announcements.

Telecommunications Expansion with Nokia

Nvidia is investing $1 billion for a 2.9% stake in Finnish telecom equipment maker Nokia and introducing the Arc product line specifically for telecommunications equipment.

The partnership aims to enhance power efficiency in base stations for upcoming 6G wireless technology.

“We’re going to take this new technology and we’ll be able to upgrade millions of base stations around the world,” Huang said.

Diversification into New Markets

Nvidia announced partnerships with Palantir Technologies to accelerate logistics solutions for commercial clients like Lowe’s, marking an incursion into territory traditionally dominated by Intel.

The company also unveiled Hyperion, a self-driving car platform, and a collaboration with Uber to develop robotaxi networks.

“This is going to be a new computing platform for us, and I’m expecting it to be quite successful,” Huang said.

Geopolitical Context and Manufacturing

The announcements come amid ongoing U.S.-China trade tensions, with Nvidia navigating export restrictions while maintaining access to China’s $50 billion semiconductor market.

Analyst Gil Luria of D.A. Davidson noted:

“These announcements all show Nvidia’s ability to extend its reach beyond its core data center customers. While these projects pale in comparison to the capex by the hyperscalers such as Microsoft, Amazon, Google and Meta, they could create new markets for Nvidia down the line.”

Nvidia highlighted its domestic manufacturing efforts, producing chips at TSMC’s Arizona facilities while assembling servers in Texas and networking equipment in California.

“We are manufacturing in America again – it is incredible. The first thing that President Trump asked me is, ‘bring manufacturing back,’” Huang said.