Funding

Lambda Closes $1 Billion Senior Secured Credit Facility

May 8, 2026 | By Startuprise io

Lambda, a San Francisco, CA based AI infrastructure and GPU cloud company, has closed a $1 Billion syndicated senior secured credit facility. The company increased its existing credit facility, which was initially set at $275 million in August 2025. J.P. Morgan served as the lead arranger and the facility was upsized to include a larger group of lenders.

The multi-tranche facility provides Lambda with committed funding and flexibility to invest in advanced NVIDIA AI accelerator infrastructure and expand its data center capacity.

This funding will help expand its next-generation NVIDIA AI servers and data centers, adding more revenue-generating assets and reducing Lambda’s overall cost of capital.

The extra capital gives Lambda greater flexibility to invest quickly in key infrastructure opportunities and keep up with rising demand from AI researchers, enterprises, and hyperscalers. The nearly 4x increase from the original facility shows how quickly Lambda is growing and the confidence lenders have in its revenue and business model.

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Scaling large AI infrastructure is essential for building Superintelligence. For over 10 years, Lambda has built strong technical and operational expertise to deploy and run AI systems at scale.

“We’re excited to support Lambda as it accelerates expansion and delivers the infrastructure needed for the next generation of AI innovation,” said Jen Perry, Co-head of Technology Banking for J.P. Morgan’s Innovation Economy business. “This financing demonstrates the strong confidence in Lambda’s ability to execute at scale.”

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“We're proactively raising the capital required to meet the unprecedented demand we’re seeing for Lambda’s AI native infrastructure from the world’s most sophisticated Superintelligence customers," said Charles Fisher, CFO of Lambda.

About Lambda

Founded in 2012 by Stephen Balaban and Michael Balaban, Lambda, The Superintelligence Cloud, is a leading AI cloud infrastructure company serving tens of thousands of customers, from researchers to enterprises and hyperscalers, building supercomputers for AI training and inference with a mission to make compute as accessible as electricity and bring superintelligence to everyone with “one person, one GPU.”

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