Lambda has raised about $1 billion in private short-dated debt to acquire Nvidia GPUs that Microsoft will lease, with JPMorgan brokering the deal. This follows a similar financing pattern observed at Nebius, exposed to Microsoft's cloud compute contracts and raising substantial secured debt against GPU assets.
- Lambda borrows $1B via short-term debt to buy Nvidia GPUs for Microsoft lease
- European Nebius used a similar secured debt structure backed by Microsoft contracts
- Regulators warn of risks in fast-growing AI-sector private credit markets
What happened
Lambda has secured approximately $1 billion of private short-dated debt structured by JPMorgan to finance the purchase of Nvidia GPUs. These GPUs will be leased to Microsoft, meaning the loan is backed by Microsoft’s payment commitments rather than Lambda’s internal revenue streams. This funding mechanism was marketed to private placement investors and is similar to a preceding $917 million borrowing Lambda arranged against a contract with Nvidia, which is simultaneously its supplier, customer, and investor.
This arrangement is not unique to Lambda. A European startup, Nebius, also raised $775 million in secured debt this year, using its own GPUs as collateral while holding a five-year contract with Microsoft valued at $19.4 billion. Both deals represent a growing sector of AI-related debt financing, where compute infrastructure is collateralized with backing from prominent cloud providers like Microsoft.
Why it matters
These debt structures mark a significant evolution in how AI compute resources are financed. By borrowing against the creditworthiness of large cloud customers instead of their own earnings or assets, companies like Lambda and Nebius enable cloud providers to access cutting-edge hardware without carrying the debt themselves. This outsourcing of risk to private lenders expands capital availability but also adds layers of complexity to credit markets.
However, regulators have begun raising flags about this rapidly growing market. The European Central Bank has pointed to risks related to opaque valuation methods and liquidity issues within private credit focused on AI infrastructure. Meanwhile, the Bank for International Settlements warned in mid-2026 that an AI investment downturn could disrupt global credit markets comparably to the 2008 financial crisis. Poor transparency in deal terms, including potential multiple pledges on the same assets, exacerbates these concerns.
What to watch next
Lambda is reportedly in talks to raise up to $3 billion ahead of a potential public listing planned for next year. Monitoring how the company and others in this space manage these large volumes of private debt will be critical for investors and regulators alike. The ability of these firms to maintain strong contracts with cloud giants like Microsoft will be pivotal in upholding their borrowing capacity and market valuations.
Regulators in Europe and globally are likely to intensify scrutiny of private credit lending to AI infrastructure companies, given the growing systemic risks highlighted by the ECB and BIS. Market participants should watch for evolving disclosure standards and risk management frameworks aimed at increasing transparency and reducing concentration risk within this niche but rapidly expanding sector.