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Nebius Raises $775M by Securitizing Its GPUs: A New Financing Model in AI?

The cloud infrastructure company obtains funding backed by its GPUs and customer contracts, opening the door to a potential new asset class in the sector.

July 18, 2026 · 3 min read

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TL;DR: Nebius has obtained $775 million through debt secured by its GPUs and contract cash flows, a first in the sector. The deal, with an interest rate of ~6.8%, allows financing growth without diluting shareholders. Nebius has $40 billion in additional contracts for future securitizations.

What Happened?

Nebius, the cloud infrastructure company (spun off from Yandex), has announced its first asset-backed debt facility: $775 million obtained through the securitization of its deployed GPUs and cash flows from an investment-grade customer contract. The debt matures on October 31, 2030, and carries an interest rate of SOFR + 2.50% (approximately 6.8% currently). According to the company, the deal covers more than 100% of the underlying asset value, and Nebius claims to have additional contracts worth $40 billion that could be securitized in the future.

Why Is This Important?

This deal represents a paradigm shift in AI infrastructure financing. Until now, companies relied on venture capital, traditional corporate debt, or equity issuances. GPU securitization—similar to equipment-backed loans—allows Nebius to obtain liquidity without diluting shareholders and at a relatively low cost (6.8% vs. the typical 10-15% for high-risk debt).

Moreover, the deal validates that GPU assets can be considered low-risk financial collateral, potentially opening a new asset class for institutional investors. If other players (CoreWeave, Lambda, etc.) follow this path, the GPU-backed debt market could reach tens of billions of dollars.

Market Implications

  • For Nebius: Strengthens its financial position without dilution, enabling it to scale its cloud infrastructure. The company now has a recurring financing model based on customer contracts.
  • For Competitors: Companies like CoreWeave, which also own large GPU fleets, could mimic the strategy. Pressure to demonstrate stable cash flows will increase.
  • For Investors: A new investment avenue in AI infrastructure debt emerges, with attractive risk/return profiles. Banks and private credit funds will likely create similar structured products.
  • For the GPU Market: GPU demand could stabilize by being tied to long-term contracts, reducing volatility in hardware purchases.

What Readers Should Know

The deal is not without risks. If the investment-grade customer defaults or if GPU values depreciate faster than expected (e.g., due to technological advances), the collateral might not cover the debt. However, Nebius ensures the contract covers more than 100% of the principal. Additionally, the company has a track record of managing large-scale infrastructure (as the successor to Yandex Cloud).

For the average reader, this news indicates that AI is maturing as a financial sector: it is no longer funded solely by venture capital but by sophisticated debt instruments. It is a sign that AI infrastructure is becoming a utility with predictable cash flows.

Historical Context

Securitization of real assets (like aircraft, ships, or real estate) is common, but applied to GPUs it is novel. The closest precedent is loans backed by computer equipment in data centers, but on a smaller scale. Nebius has pioneered packaging GPUs and customer contracts as a single financial asset.

"This deal demonstrates that AI infrastructure can be treated as a cash-flow-generating asset, similar to an industrial plant," notes an analyst at The Vortiq.

Conclusion

Nebius's GPU securitization is a strategic move that could redefine financing in the AI sector. By reducing reliance on venture capital and offering a competitive cost of capital, Nebius positions itself for sustainable growth. The market will watch whether other players replicate the model and whether institutional investors embrace this new asset class.

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