The new financing follows another large Lambda debt deal tied to Nvidia hardware. Earlier this month, the company borrowed roughly $917 million to fund GPUs for capacity contracted to Nvidia, which is also an investor in Lambda and supplies the chips used in its infrastructure.
Lambda has increasingly relied on secured financing to expand its GPU fleet without funding every deployment entirely through equity. The company buys Nvidia hardware, installs it in data centers and rents the resulting computing capacity to customers.
The Microsoft-linked debt places much of the financing logic around the customer contract rather than Lambda’s broader business. As long as the contracted compute generates the expected payments, those cash flows can support repayment of the debt used to purchase the underlying GPUs.
Lambda is also reportedly discussing a funding round of as much as $3 billion ahead of a possible public listing next year. Bloomberg estimates that banks and technology companies have raised more than $400 billion in AI-related debt worldwide during 2026.
Similar financing structures are appearing elsewhere in the AI infrastructure market. Amsterdam-based Nebius raised $775 million in secured debt backed by its GPUs this year. The company also has a five-year Microsoft agreement valued at $19.4 billion and has said it has about $40 billion in contracts that could potentially be used for securitization. That means lenders are increasingly evaluating not only the value of the physical chips but also the reliability of the customers leasing the computing capacity. The GPUs remain collateral if a contract fails, but the economics of the financing depend heavily on continued payments from large customers.
Financial regulators have begun raising concerns about the expansion of private credit into AI infrastructure. The European Central Bank warned in May about limited liquidity, opaque valuation methods and exposure concentrated among a relatively small number of U.S. borrowers whose valuations are closely connected to AI growth expectations.
The Bank for International Settlements issued a separate warning in June about the potential impact of a sharp reversal in AI investment. It also pointed to limited disclosure around some financing structures, including difficulty determining whether the same assets may have been pledged more than once.
For Lambda, the latest deal provides another large pool of capital for Nvidia hardware while linking the debt directly to demand from one of the world’s largest buyers of AI computing capacity. It also illustrates how GPU purchases are increasingly being financed through a combination of hardware collateral and long-term customer commitments rather than through equity alone.
This analysis is based on reporting from TNW.
Image courtesy of Lambda.
This article was generated with AI assistance and reviewed for accuracy and quality.
