Lambda, an AI cloud company that purchases computing chips and leases them to businesses, has secured $1 billion in private, short-dated debt to buy Nvidia鈥檚 AI chips, which it will then rent to Microsoft, according to Bloomberg. The deal was arranged by JP Morgan Chase. The terms suggest Lambda expects to quickly deploy the hardware and generate enough revenue to repay the loan from that incoming cash flow, rather than relying on longer-term financing.

This is the latest in a series of loans Lambda has used to fund GPU infrastructure for specific customers. In May, the company closed a $1 billion secured credit facility. This week, it announced the closing of a $926 million loan to fund Nvidia GB300 GPUs, one of Nvidia鈥檚 newest chip models, for a deployment it is under contract to provide to Nvidia itself.

The new $1 billion private debt deal comes as Lambda is reportedly in talks for a $3 billion pre-IPO round. The company raised $1.5 billion in venture capital last November at a $5.43 billion post-money valuation, according to PitchBook data. That prior round valued the firm as one of the more prominent players in the AI infrastructure space, which has seen heavy demand for rented compute power.

Lambda is not the only company leaning on debt to fuel the AI boom. According to data compiled by Bloomberg, banks and tech companies have raised over $400 billion in AI-related debt globally so far in 2026. That figure underscores how widely lenders are financing the buildout of data centers and chip inventories, with major cloud providers and startups alike seeking capital to meet surging demand.

For Microsoft, the arrangement means it will gain access to Lambda鈥檚 fleet of Nvidia chips without directly owning the hardware, a common structure as enterprises seek flexible compute capacity. For Lambda, the deal ties its growth to Microsoft鈥檚 usage, providing a clear revenue stream to service the debt. The short-dated nature of the loan implies a rapid deployment timeline, as the company will need to get the chips online and generating income quickly.

Lambda鈥檚 reliance on debt for customer-specific deployments suggests a strategy of matching financing to contracted workloads, reducing the risk of idle inventory. The company鈥檚 talks for a pre-IPO round, combined with the recent debt raises, point to an aggressive expansion phase ahead of a potential public listing. No further details on the debt terms or the pre-IPO discussions have been disclosed.

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