Nebius Secures $775M Debt Financing to Fuel AI Cloud Expansion

The New Collateral: GPUs and Cash Flow

Building AI's future costs a fortune. And Nebius Group N.V. just found a novel way to pay for it: a roughly $775 million senior secured debt facility. This isn't your typical VC round. Not even close. The Nasdaq-listed company is pioneering a model where the collateral is the very engine of the AI boom—its deployed GPU hardware and the guaranteed cash from a major customer. The deal, which was reportedly oversubscribed, lets Nebius convert its operational hardware into immediate growth capital without diluting a single shareholder.

The loan matures on October 31, 2030, with a price tag of the Secured Overnight Financing Rate (SOFR) plus a razor-thin 2.50% margin. That's confidence. But this is more than a loan; it’s a playbook. Nebius has already signed deals with titans like Microsoft and Meta that add up to over $40 billion in more contracted revenue, and it plans to run this play again. And again. It’s a repeatable engine for global expansion—what COO Ophir Nave calls a “disciplined, diversified approach” to scaling.

How GPUs Became a Bankable Asset

Let's be clear: building a world-class AI cloud is brutally expensive. We're talking staggering sums for specialized hardware, especially high-end GPUs from NVIDIA. For years, the only path for a hyper-growth company was equity financing—selling off pieces of the business for cash. The Nebius financing strategy flips that script. By treating its GPU clusters less like disposable tech and more like an airline treats its jets or an energy company its power plants, Nebius is helping turn semiconductors into a legitimate, financeable asset class.

So how does it work? Simple. Nebius takes a GPU cluster that’s already humming away, making money from a long-term contract with a rock-solid customer like Microsoft. It then uses the hardware *and* that guaranteed cash flow to back a loan. The kicker? The financing covers more than 100% of the hardware's original cost, instantly freeing up capital to build out more capacity for other AI startups and enterprise clients. It's a critical tool for specialized providers, or "neoclouds," in their fight against hyperscalers like Amazon Web Services and Google Cloud. And it's catching on. CoreWeave, an early pioneer, pulled in a massive $2.3 billion with a similar GPU-backed facility in 2023.

Here’s the catch. A Boeing 737 can generate revenue for decades. A GPU? It can feel ancient in three years. That rapid obsolescence cycle is the huge, untested variable in these financial structures, a risk credit analysts are watching. Closely.

The Global GPU Arms Race Heats Up

This $775 million deal isn’t just clever accounting. It's fuel. It's about achieving speed and scale in a brutally competitive market. The demand for AI compute is insatiable, as companies everywhere race to build bigger and smarter models, which creates a massive opening for any company that can actually deliver reliable, high-performance infrastructure. Nebius plans to be one of them. The Amsterdam-based company, which emerged in 2024 from the international assets of the former Yandex N.V., is already expanding aggressively.

Nebius operates a full-stack AI cloud platform that handles everything from training models to running them in production. A service like that requires a sprawling physical footprint. The company has already set up data centers and GPU clusters in Finland and Paris. New sites are under construction in the United States. But this buildout faces hurdles, like the recent AI data center moratorium in New York—a perfect example of the industry's growing pains.

A syndicate of heavyweight banks led the financing, MUFG acting as structuring agent and bookrunner. Who else was in? Bank of America, Deutsche Bank, HSBC, and Goldman Sachs, to name just a few. The backing of nine major banks from the US, Europe, and Japan sends a clear signal that the financial world now takes GPUs as a bankable asset. With this new capital, Nebius will go head-to-head with cloud giants and other well-funded startups like Fireworks AI, which just raised $1.5 billion. This isn't just a funding round. How well this debt-financing playbook works could decide who has the raw compute—the specialized chips essential for AI—to win the AI cloud war.