QumulusAI, a neocloud infrastructure provider purpose-built for the AI computing era, has announced that its common stock will begin trading tomorrow, Thursday, July 16, 2026, on the Nasdaq Global Market under the ticker symbol "QMLS." The direct listing follows the SEC declaring the company's Form S-1 registration statement effective on July 14, 2026 .
QumulusAI begins trading July 16, 2026, on Nasdaq under ticker "QMLS" via direct listing .
The company guides to $300 million forward annualized recurring revenue for fiscal 2026, representing approximately 30x growth over fiscal 2025 .
Current capacity stands at 18 MW, with a path to 2.5 GW by end of fiscal 2027 .
QumulusAI deploys NVIDIA Blackwell (B300, B200) and Hopper (H100, H200) GPUs across active sites in Georgia, Missouri, Colorado, and Philadelphia .
The company recently secured more than $124 million in three-year customer subscriptions with Hyperbolic and another leading AI inference platform .
Chardan Capital Markets LLC is acting as financial advisor for the direct listing .
QumulusAI, a neocloud infrastructure provider purpose-built for the AI computing era, today announced that it expects its common stock to begin trading tomorrow, Thursday, July 16, 2026, on the Nasdaq Global Market under the ticker symbol "QMLS." The 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 .
"Listing on the Nasdaq marks a transformative milestone for QumulusAI as we enter our next phase of growth," said Michael Maniscalco, CEO of QumulusAI. "We believe AI demand continues to outpace infrastructure supply, and we designed our hyperspeed and capital-efficient model to close that gap. This direct listing provides us with the platform to scale available infrastructure, engage with a broader investor base and continue delivering accelerated compute to the enterprises building the future of AI" .
For fiscal 2026, QumulusAI expects forward annualized recurring revenue of $300 million — approximately 30 times growth over fiscal 2025 — backed by 18 megawatts of year-end data center capacity, comprising 8 MW of active high-performance computing power and 10 MW under development . The company sees a path to 2.5 GW of capacity by the end of fiscal 2027 through its QAI Moon joint venture and a planned 125 network-edge site footprint .
"We designed this guidance framework to be simple to track," said Scott Krosnowski, chief financial officer of QumulusAI. "Forward ARR and capacity capture both sides of our model: the demand we activate and the infrastructure we deliver it on" .
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, the company brings compute closer to customer demand, helping AI teams and enterprises scale production AI workloads with speed, flexibility and control . Unlike hyperscalers that require years-long construction timelines, QumulusAI deploys capacity on a quarterly cadence in facilities under 50 MW, targeting a time-to-revenue measured in months rather than years .
The Atlanta-based company houses NVIDIA's Blackwell B300 and B200, Hopper H100 and H200, and RTX PRO 6000 GPUs across active sites in Marietta, Georgia; Kansas City, Missouri; Denver, Colorado; and two locations in Philadelphia. An Oklahoma site and additional colocation partners are in development . The company's infrastructure model is designed to reduce AI inference costs by approximately 20% compared to standard configurations by rightsizing CPU core counts, system memory, and local storage to the exact demands of large-scale open-source inference workloads .
The company recently secured more than $124 million in three-year customer subscriptions with Hyperbolic and another leading AI inference platform, covering deployments totaling 1,280 NVIDIA Blackwell GPUs with nearly $21.9 million in combined upfront customer commitments . Under the GPU-as-a-service agreements, QumulusAI provisions 160 Lenovo and Supermicro bare-metal servers equipped with NVIDIA B300 and B200 Blackwell GPUs, with Cisco Nexus One powering the cluster fabric .
"AI infrastructure can no longer be built using one-size-fits-all designs," said Mike Maniscalco, CEO of QumulusAI. "Inference workloads have very different performance and economic requirements than model training environments. By tuning infrastructure to the workload itself, we can improve utilization, reduce costs, and accelerate deployment timelines for customers operating at production scale" .
Chardan Capital Markets LLC is acting as the company's financial advisor in connection with the direct listing . New investor materials, including a comprehensive investor presentation outlining the company's business model, are available on QumulusAI's recently launched investor relations website at investors.qumulusai.com .
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 .
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