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.

QumulusAI, a neocloud infrastructure provider, announced that its common shares have commenced trading on the Nasdaq Global Market under the ticker symbol QMLS. This direct listing follows the U.S. Securities and Exchange Commission declaring the company's registration statement on Form S-1 effective on July 14, 2026. The move provides QumulusAI with a platform to scale infrastructure and engage with a broader investor base to address the growing demand for AI computing.

"QumulusAI was built for how AI is actually deployed — inference-first, distributed, and close to demand," said Mike Maniscalco, CEO of QumulusAI. "As an active, revenue-generating neocloud, we bring compute online in months, not years. Becoming a public company gives us the platform, and the capital efficiency, to scale that model as enterprise demand for AI infrastructure compounds."

Listing Details

The commencement of trading on July 16, 2026, is the result of a direct listing process. Chardan Capital Markets LLC is acting as the company's financial advisor for this transaction. Copies of the final prospectus relating to the registration may be obtained by visiting the SEC's website at www.sec.gov .

About QumulusAI

QumulusAI operates as a distributed AI cloud platform, delivering accelerated access to high-performance GPU compute. The company utilizes an inference-first, demand-led deployment model across a network of data center sites. This approach brings compute closer to customer demand, enabling AI teams and enterprises to scale production AI workloads with speed and flexibility. 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.