QumulusAI Purchases 1,632 NVIDIA Blackwell B300 GPUs Amid Strong Customer Demand

Key Terms

GPUs technical

GPUs are specialized computer chips originally designed to draw images on screens but now widely used to speed up tasks like artificial intelligence, scientific calculations, and data analysis. For investors, GPU demand is a signal about where computing power is being deployed — rising GPU sales can boost makers of chips and the datacenters that use them, influence supply chains and prices, and indicate which companies have a performance edge, much like a restaurant gaining an advantage by hiring many fast, skilled cooks.

inference technical

Inference is the process of drawing a conclusion from available evidence or data, like a detective piecing together clues to form a likely story. For investors it matters because these judgments turn raw reports, test results, or market signals into expectations about future performance, risk, or regulatory outcomes—so how someone infers from the same facts can change investment decisions and valuation.

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.

OEM technical

OEM stands for Original Equipment Manufacturer, which is a company that produces parts or components used in the final products made by other companies. For investors, understanding OEMs is important because their performance can impact the supply chain and overall success of major industries, especially those relying on specialized parts. Think of OEMs as the suppliers that provide the building blocks for larger products, like the engine parts for a car.

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Dual-sourced order of 204 NVIDIA HGX B300 systems expands the company's hyperdistributed AI cloud as customer demand accelerates

ATLANTA--(BUSINESS WIRE)-- QumulusAI (Nasdaq: QMLS), a neocloud infrastructure provider purpose-built for the AI computing era, today announced the purchase of 1,632 NVIDIA Blackwell B300 GPUs to meet accelerating customer demand for high-performance AI compute. The GPUs will be delivered across 204 NVIDIA HGX B300 systems and represent one of the company's largest single capacity expansions to date. The purchase was funded primarily through financing arrangements with Technology Finance Corporation and USD.ai.

The order lands as demand for AI infrastructure continues to outpace supply. Against that backdrop, QumulusAI has been converting signed, multiyear customer demand into deployed compute, including more than $124 million in three-year inference agreements announced earlier this year. The B300 purchase directly supports that contracted and near-term pipeline.

"Meeting AI demand today is a test of access, speed and flexibility, and you can't win on one without the other two," said Mike Maniscalco, CEO of QumulusAI. "Our model gives us the flexibility to source across multiple OEM partners such as Supermicro and Lenovo and to deploy across a national network of colocation and owned facilities. When demand moves, we move with it. That's how 1,632 B300 GPUs go from purchase order to production at hyperspeed."

Alongside the B300 systems, which are built for large-scale AI training and high-throughput inference, the order includes an additional 192 NVIDIA RTX PRO 6000 Blackwell GPUs. Together, the two architectures give QumulusAI customers workload-matched options spanning training, inference and visualization, consistent with the company's F.A.C.T.S. approach of mapping the right compute to each AI workload rather than forcing every job onto a single platform.

The new capacity extends a period of rapid growth for QumulusAI, whose deployed GPU fleet has expanded by more than 450% from June 2025 to June 2026.

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.

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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 ability to source across multiple OEM partners like Supermicro and Lenovo and to deploy across a national network of colocation and owned facilities. 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), 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/20260720975123/en/

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Source: QumulusAI