QumulusAI Activates $71.9 Million Blackwell Contract in US Data Centers

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QumulusAI Activates $71.9 Million Blackwell Contract in US Data Centers

Updated on Oct 16, 2026, 03:34 AM IST
Written & Edited by Harikesh VA

QumulusAI (Nasdaq: QMLS), a neocloud infrastructure provider, announced on Oct. 15 the completion of the final NVIDIA B300 handoff under its USD 71.9 million, three-year Blackwell agreement, putting every GPU under that agreement into production and billing 10 weeks after signing.

 

The company delivered the agreement in two deployments: B200 capacity on Sept. 8, followed by B300 capacity at its Kansas City site on Oct. 1. The company also provided activation timing for all 11.75 MW of its contracted capacity across six colocation sites.

Capacity Activation Timeline

Of the 11.75 MW of contracted capacity, 7 MW are active and generating revenue today. A further 1 MW, already energized, is scheduled for final handoff at the end of this month, which would bring active, revenue-generating capacity to 8 MW.

 

The remaining 3.75 MW at the metro Atlanta site, announced in August and sold last month under a USD 211.9 million, three-year take-or-pay agreement, is targeted for activation in early 2027.

A second agreement, announced last month and valued at USD 29.1 million, will be deployed at an additional site.

 

Contract Value Crosses USD 500 Million

With the USD 240.9 million in agreements announced last month, QumulusAI's cumulative signed customer contract value has reached USD 523.4 million, surpassing USD 500 million for the first time and up 85% from the USD 282.5 million reported with the company's second-quarter 2026 results.

Combined, the agreements translate into about USD 209 million in annual recurring revenue on their initial terms, excluding extension options. Of that figure, about USD 128 million comes from the 8 MW active by month-end, about USD 71 million from the 3.75 MW in Atlanta, and the balance from the USD 29.1 million agreement.

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Customer Expansion

The same customer that took delivery under the USD 71.9 million Blackwell agreement has already expanded its commitment.

 

The USD 211.9 million agreement for the Atlanta capacity is that customer's second agreement with QumulusAI, bringing its contracted commitments to USD 283.8 million, excluding extension options.

CEO Commentary

"Crossing half a billion dollars in signed customer contracts is a milestone worth marking, and we got there by doing exactly what we said we would do: sign, deploy, and expand," said Michael Maniscalco, CEO of QumulusAI.

 

"Our second-quarter revenue of USD 6.7 million reflected what we had deployed, not what we had sold. Revenue follows handoff, and the handoffs are happening now. All of our capacity is under contract, and we already have a customer signed for the next site, so our focus is on securing the next block."

About QumulusAI

QumulusAI describes itself as 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, the company brings compute closer to customer demand, helping AI teams and enterprises scale production AI workloads.

 

By combining rapid deployment with flexible private cloud infrastructure, QumulusAI aims to offer customers a faster, more adaptable path beyond the capacity constraints of traditional centralized and hyperscale cloud models.

Forward-Looking Statement Risks

The press release notes that statements regarding the timing of the final handoff of the remaining 1 MW of energized capacity, the activation of the remaining 3.75 MW in early 2027, the deployment of capacity under the USD 29.1 million agreement, the annual recurring revenue represented by signed customer agreements, and the company's ability to secure additional capacity are forward-looking statements subject to risks and uncertainties.

Those risks include 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; substantial capital requirements and access to financing; competition and rapid technological change in the high-performance computing and AI markets; and the company's limited operating history and history of net losses.

 

Additional risks are described in the "Risk Factors" section of the company's registration statement on Form S-1, as amended (File No. 333-292514), and its quarterly report on Form 10-Q.

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