QumulusAI, a neocloud infrastructure provider purpose-built for the AI computing era, has signed a two-year, take-or-pay agreement valued at more than $18 million to supply NVIDIA Blackwell B300 nodes to a GPU cloud marketplace used by AI teams across more than 100 regions worldwide. The contract makes QumulusAI a core Blackwell supplier to the customer, solidifying its position in the AI infrastructure market. Capacity under the agreement will be served from QumulusAI's active U.S. data center footprint, with initial deployments expected to come online this summer.

The company utilizes a demand-led deployment model to place capacity into available pockets of power across a distributed network of colocation sites. This approach enables QumulusAI to bring GPU capacity online in months rather than years. The new agreement adds a two-year, take-or-pay commitment to the company's book of business, complementing its existing contracted and near-term pipeline which includes more than $124 million in three-year inference agreements announced earlier this year.

"Our customers are building the AI economy, and they choose their suppliers carefully," said Mike Maniscalco, CEO of QumulusAI. "A two-year commitment for our Blackwell capacity says it plainly. The demand is real, and we are here to deliver." Maniscalco previously emphasized that meeting AI demand is a test of access, speed, and flexibility, noting the company's ability to source across multiple OEM partners such as Supermicro and Lenovo.

To support this and other agreements, QumulusAI has expanded its hardware inventory significantly. The company recently purchased 1,632 NVIDIA Blackwell B300 GPUs, delivered across 204 NVIDIA HGX B300 systems, marking one of its largest single capacity expansions. The purchase was funded primarily through financing arrangements with Technology Finance Corporation and USD.ai. Additionally, the order included 192 NVIDIA RTX PRO 6000 Blackwell GPUs to provide customers with workload-matched options spanning training, inference, and visualization.

This expansion reflects a period of rapid growth for QumulusAI. The company's deployed GPU fleet has expanded by more than 450% from June 2025 to June 2026. By converting signed, multiyear customer demand into deployed compute, QumulusAI aims to address the widening gap between AI infrastructure demand and supply.

Order Breakdown

QumulusAI (NASDAQ: QMLS), a neocloud infrastructure provider purpose-built for the AI computing era, has been approved as an NVIDIA Cloud Partner (NCP) within the NVIDIA Partner Network (NPN). This approval reinforces the company's ability to bring high-performance compute online quickly to meet growing customer demand. By leveraging this partnership, QumulusAI aims to address the need for rapid capacity deployment across the full spectrum of AI workloads.

As an NVIDIA Cloud Partner, QumulusAI can collaborate with AI-native companies, enterprises, and machine learning teams. The collaboration focuses on deploying NVIDIA AI infrastructure for modern AI workloads, including model training, fine-tuning, reinforced learning, and production-scale inference. This capability is critical for customers requiring faster delivery of capacity than traditional infrastructure developers can provide.

Strategic Deployment Framework

QumulusAI rapidly expands available capacity by deploying infrastructure across a distributed network of vetted co-location data center sites. This strategy enables the company to bring high-performance compute online in accelerated timeframes, avoiding the delays associated with large, multi-year data center developments. The approach allows customers to access necessary capacity immediately and scale it as their AI ambitions grow.

The company's speed-to-capacity is anchored in its F.A.C.T.S. framework, which stands for Flexibility, Access, Cost, Trust, and Speed. This framework serves as the foundation for the business, aiming to break down barriers customers face in building and adopting AI.

Executive Perspective

"Right now, our customers need capacity, and they need it fast. The neoclouds that win are the ones that can unlock capacity and put it to work for clients as demand accelerates," said Michael Maniscalco, CEO of QumulusAI. "Becoming an NVIDIA Cloud Partner affirms what our customers already experience — enterprise-grade NVIDIA compute, delivered at hyperspeed. It's about giving customers what they need today, while building toward a larger inference-future we believe is coming."

About QumulusAI

QumulusAI operates as a distributed AI cloud platform delivering 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. This model helps AI teams and enterprises scale production AI workloads with speed, flexibility, and control, offering an alternative to traditional centralized and hyperscale cloud models.