QumulusAI Secures a Contracted 1.2 MW of Colocation Capacity in Denver, Ready for Service by Q1 2027

QumulusAI is funding the agreement with cash generated by capacity already in production.

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The term runs five years from service activation and renews automatically for successive five-year periods.

ATLANTA--(BUSINESS WIRE)-- QumulusAI (Nasdaq: QMLS), a neocloud infrastructure provider purpose-built for the AI computing era, today announced a five-year colocation agreement for a contracted 1.2 MW of critical IT load in Denver, with automatic five-year renewal terms.

QumulusAI already operates in Denver, and the agreement expands its capacity in that market. The capacity is expected to be ready for service in Q1 2027, and the initial five-year term runs from the date the contracted services are activated.

QumulusAI is funding the agreement from cash generated by capacity already in production.

“We take small blocks of power that already exist and move fast to bring them online. Speed is the point,” said Michael Maniscalco, CEO of QumulusAI. “It gets customers compute sooner, and it shortens the time between deploying capacity and earning on it.”

About QumulusAI

QumulusAI is a distributed AI cloud platform that delivers accelerated access to high-performance GPU compute. Through an inference-first, demand-led deployment model across a network of data center sites, QumulusAI brings compute closer to customer demand, helping AI teams and enterprises scale production AI workloads with speed, flexibility and control. By combining rapid deployment with flexible private cloud infrastructure, QumulusAI gives customers a faster, more adaptable path beyond the capacity constraints of traditional centralized and hyperscale cloud models. Learn more at QumulusAI.com.

Follow us on LinkedIn and X @QumulusAI.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding the company’s colocation agreement for a contracted 1.2 MW of critical IT load in Denver, the anticipated term of the agreement and its automatic renewal terms, the expected timing at which the capacity will be ready for service and the service activation from which the term runs, the company’s expectation that cash generated by capacity already in production will fund the agreement, and the company’s ability to bring small blocks of existing power online quickly and to shorten the time between deploying capacity and generating revenue from it. Words such as “anticipate,” “believe,” “estimate,” “expect,” “guidance,” “intend,” “can,” “may,” “on track,” “plan,” “project,” “target,” “will” and similar expressions are intended to identify forward-looking statements. These statements are based on management's current expectations and assumptions as of the date of this release and are subject to risks and uncertainties that could cause actual results to differ materially, including, among others, the company's dependence on a limited number of large customers; the availability and cost of power, network connectivity and specialized hardware such as graphics processing units; the company's substantial capital requirements and access to financing; competition and rapid technological change in the high-performance computing and AI markets; the company's limited operating history and history of net losses; and those described in the “Risk Factors” section of the company's registration statement on Form S-1, as amended (File No. 333-292514), and the company’s quarterly report on Form 10-Q for the quarter ended June 30, 2026, as amended, filed with the U.S. Securities and Exchange Commission (SEC), as such factors may be updated in the company's subsequent filings with the SEC. QumulusAI undertakes no obligation to update or revise any forward-looking statement, whether as a result of new information, future developments or otherwise, except as required by applicable law.

View source version on businesswire.com: https://www.businesswire.com/news/home/20261109871225/en/

Investor Contact
investors@qumulusai.com

Media Contact
media@qumulusai.com

Source: QumulusAI

Key Terms

colocation technical

Colocation is the practice of placing a trader’s computer servers inside or next to an exchange’s data center so their orders travel the shortest possible distance to the exchange’s computers. For investors this matters because even tiny gains in speed can mean better trade prices or reduced slippage—like being first in line at a checkout—so firms that colocate can gain steady, measurable advantages or incur extra costs that affect returns.