Data Centers Evolve Into AI Factories

GlobalAI partners with Nvidia to build sovereign, high-density infrastructure for enterprises

Published on Feb. 27, 2026

Got story updates? Submit your updates here. ›

Data centers are rapidly transforming into AI factories as companies like GlobalAI work closely with Nvidia to deliver single-tenant, sovereign environments that give enterprises advanced intelligence without surrendering control. This shift is driven by the need for large-scale AI workloads that require a redesign of power, cooling, and network architecture from the ground up, moving away from traditional racks and retrofit upgrades.

Why it matters

The rise of AI is redefining what data centers are built to do, forcing a structural change rather than just incremental upgrades. Companies are now building dedicated, high-density infrastructure to cater to the growing enterprise demand for advanced AI capabilities while maintaining control over their data and intellectual property.

The details

GlobalAI is working closely with Nvidia to build these sovereign AI factories, with each rack delivering an exaflop of computing power. This requires new engineering disciplines around liquid cooling, power provisioning, and facility design to support the extreme densities. The rapid hardware cadence from Nvidia, including the upcoming Vera Rubin system, adds to the complexity for operators trying to keep pace.

  • GlobalAI is running 'like mad' to keep up with the latest Nvidia hardware, including the GP200s, GP300s, and the upcoming Vera Rubin system launching in April.
  • Demand for this AI-powered infrastructure is 'unlike anything I've seen in my entire career,' according to GlobalAI CEO Sami Issa, with enterprises signing multiyear contracts for dedicated capacity.

The players

GlobalAI

A company building sovereign, high-density infrastructure for enterprises to access advanced AI capabilities without surrendering control.

Nvidia

A technology company that is a key partner for GlobalAI, providing the powerful GPU systems that are transforming data centers into AI factories.

Sami Issa

The director and chief executive officer of GlobalAI Cloud, who spoke about the company's work with Nvidia to deliver this new generation of AI-powered infrastructure.

Got photos? Submit your photos here. ›

What they’re saying

“Once they have seen your secret sauce, it's embedded within their weights and it's near impossible to extract. We envisioned that a couple of years ago. We started the company to cater to fill that gap of creating [this] infrastructure dedicated for our customers, and that's what we do. It's single tenet; we're not a cloud. I keep telling everybody, we're not a cloud.”

— Sami Issa, Director and Chief Executive Officer, GlobalAI Cloud (SiliconANGLE)

“Ninety-five percent of data centers in the world are running on eight to 12, maybe 40 kilowatt racks. We are building 150, 250, going to a megawatt per rack. These are super computers. Each GB300 is an exaflop. A couple of years ago, you and I would dream of an exaflop machine. Now, we have many, many exaflops within our data centers because each rack is an exaflop.”

— Sami Issa, Director and Chief Executive Officer, GlobalAI Cloud (SiliconANGLE)

“Demand is unlike anything I've seen in my entire career. Demand is unbelievable. If I go to the market with 500 megawatts, it'll be gone within a couple of days. If I go to the market with a gigawatt, it will be gone within a week.”

— Sami Issa, Director and Chief Executive Officer, GlobalAI Cloud (SiliconANGLE)

What’s next

Nvidia's rapid hardware cadence, including the upcoming Vera Rubin system launching in April, will continue to drive the need for GlobalAI and other companies to quickly adapt their infrastructure to support the latest AI-powered technologies.

The takeaway

The transformation of data centers into AI factories represents a fundamental shift in how enterprises access and leverage advanced intelligence. By partnering with specialized providers like GlobalAI, companies can gain the benefits of cutting-edge AI capabilities while maintaining control over their data and intellectual property.