QumulusAI Secures $26M Multi-Year Lease Financing for 50-Node NVIDIA B200 GPU Cluster

Agreement underscores growing demand for flexible financing models to accelerate scale of AI
compute capacity

ATLANTA, GA / ACCESS Newswire / May 7, 2026 / QumulusAI, a vertically integrated, hyper-distributed GPU cloud infrastructure company, today announced it has entered into a master lease agreement with TFC to support the deployment of a 50-node NVIDIA B200 GPU cluster.

QumulusAI has entered into equipment leases totaling approximately $26 million in fixed payments over a three-year term. Individual leases commence upon delivery of the equipment and include an option to purchase at the end of the lease period, providing a balance of near-term deployment speed and long-term asset ownership flexibility.

The master lease agreement reflects a broader shift in how AI infrastructure is financed. By structuring access to high-performance compute through leasing rather than large upfront capital expenditures, QumulusAI is able to scale capacity in line with customer demand, while TFC provides a financing model designed to support rapid infrastructure deployment in a capital-constrained market. The structure is designed to be repeatable, enabling QumulusAI to expand capacity without relying solely on traditional equity or debt financing.

Under the agreement, QumulusAI will take delivery of 50 NVIDIA B200 GPU servers alongside a fully integrated network cluster, enabling large-scale AI training and inference workloads. The infrastructure will be deployed across QumulusAI’s growing footprint and delivered to customers through its GPU Capacity Planning as a Service (CPaaS) model.

“This is about removing the friction between capital and deployment,” said Mike Maniscalco, CEO of QumulusAI. “Access to GPUs is no longer just a supply issue – it’s a capital issue. This structure allows us to deploy infrastructure at speed, align with customer demand, and maintain flexibility as we scale.”

“The scale, speed, customer quality and expertise the QumulusAI team has showcased, made them an ideal TFC client, said Brent Clarbour, Vice President, TFC. We look forward to working with their management team over the years to come.”

About TFC

Tech Finance Co., LLC (“TFC”), a subsidiary of Kingsbridge Holdings, LLC, a part of SLR Investment Corp. platform of companies, is a leading provider of IT equipment leasing and financing solutions that has supported emerging growth companies since 2004. TFC has been an early leader in AI infrastructure financing and data center buildouts, delivering flexible, asset-backed leasing solutions tailored to the evolving needs of innovative technology companies.

About QumulusAI

QumulusAI is a vertically integrated AI infrastructure company focused on delivering a distributed AI cloud by innovating around power, data center, and GPU-based cloud services. The company delivers immediate access to high-performance computing with enhanced cost control, reliability, and flexibility. Machine learning teams, AI startups, research institutions, and growing enterprises can now scale their AI training and inference workloads quickly and cost effectively. For more information, visit https://www.qumulusai.com

For more information on QumulusAI:

Press: media@qumulusai.com
Investors: investors@qumulusai.com
Follow QumulusAI on social media: https://www.linkedin.com/company/qumulusai

Disclaimer

This press release contains certain “forward-looking statements” that are based on current expectations, forecasts and assumptions that involve risks and uncertainties, and on information available to QumulusAI as of the date hereof. QumulusAI’s actual results could differ materially from those stated or implied herein, due to risks and uncertainties associated with its business. Forward-looking statements include statements regarding QumulusAI’s expectations, beliefs, intentions or strategies regarding the future, and can be identified by forward-looking words such as “anticipate,” “believe,” “could,” “continue,” “estimate,” “expect,” “intend,” “may,” “should,” “will” and “would” or words of similar import. QumulusAI expressly disclaims any obligation or undertaking to disseminate any updates or revisions to any forward-lookingstatement contained in this press release to reflect any change in QumulusAI’s expectations with regard thereto or any change in events, conditions or circumstances on which any such statement is based in respect of its business, partnerships or otherwise.

SOURCE: QumulusAI

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