Skip to main content

NVIDIA GPU marketplace bridges chip supply and AI demand

The DGX Cloud Lepton service will make the company's artificial intelligence graphics processing units directly available to developers seeking compute resources across various cloud platforms.
By Andrea Fox , Senior Editor
AI chip
Image: sankai/Getty Images

NVIDIA has launched a new marketplace to give artificial intelligence developers on various cloud providers – Lambda, CoreWeave, Crusoe, Foxconn, Nscale and others – access to a global supply of graphics processing units.

WHY IT MATTERS

NVIDIA said the unified AI platform, called DGX Cloud Lepton marketplace, offers fully managed services and software for training, deploying and optimizing AI.

"We saw that there was a lot of friction in the system for AI developers, whether they’re researchers or in an enterprise, to find and access computing resources," Alexis Bjorlin, NVIDIA’s vice president of the DGX Cloud unit, told the Wall Street Journal this week.

The marketplace is a way for those providers to tell developers they have excess computing for AI, she noted. Developers can tap into GPU compute capacity in specific regions, the semiconductor giant noted.

Direct outreach connects enterprises directly to NVIDIA, and by working directly with the chip giant, developers can choose which cloud providers to work with, said Bjorlin.

NVIDIA chose Lambda in March as its 2025 network partner of the year in healthcare for accelerating AI innovation in the sector. The cloud provider said it offers on-demand NVIDIA GPU instances and clusters for AI training and inference at scale, and its customers have developed AI tools that uncover insights for drug discovery, personalized medicine and more. 

"AI is advancing healthcare by speeding diagnostics, deepening patient communications and helping scientists discover new breakthroughs," said Mat Torgow, NVIDIA's senior director of healthcare partnerships and sales for the Americas, in a statement.

THE LARGER TREND

Palo Alto Networks CEO Nikesh Arora told CNBC that as more companies incorporate AI into business, it's pushing a pivotal moment for cybersecurity. AI models require the cloud, and companies will be left behind if they don’t move their assets, he said.

"I think this is a perfect time for security companies to be out there working with our customers to make sure, as we say, 'deploy AI bravely,'" Arora said.

As the use of agentic AI proliferates in areas such as clinical workflows, protecting agents from cybercriminals will be critical, he added. 

Fastidious knowledge of where controls are deployed and other core cyber hygiene protocols becomes more critical with healthcare's increasing use of AI, which may not be as explainable as traditional rules-driven systems.

Because AI is transforming cybersecurity, partnering with vendors to understand what AI is doing and what's AI-driven is key, advised David Heaney, chief information security officer at Mass General Brigham.

"When you're putting these technologies into your environment, you understand where, frankly, they may be introducing risk associated with AI in order to offset the risk associated with cybersecurity," he told Healthcare IT News last year.

ON THE RECORD

"NVIDIA DGX Cloud Lepton connects our network of global GPU cloud providers with AI developers," said NVIDIA founder and CEO Jensen Huang in a statement. "Together with our [cloud partners], we’re building a planetary-scale AI factory."

Andrea Fox is senior editor of Healthcare IT News.
Email: afox@himss.org

Healthcare IT News is a HIMSS Media publication.