QumulusAI, an Atlanta-based provider of GPU-powered cloud infrastructure for artificial intelligence, has secured a $45 million convertible note facility from ATW Partners, with $15 million funded to date. The capital is being deployed directly into GPU procurement and data center infrastructure to support the company’s 2026 deployment roadmap and meet growing enterprise demand for dedicated, long-term compute capacity.
The facility supports QumulusAI’s push toward what it calls hyperspeed deployment, accelerating the timeline from contract to live cluster to meet the demands of enterprise AI clients. The company’s 2026 roadmap includes more than 21,000 NVIDIA Blackwell GPUs planned across four quarters, with capital being used to secure hardware, lock colocation capacity, and execute deployments without the delays that commonly affect GPU procurement at scale.
QumulusAI operates a vertically integrated model combining high-performance computing cloud, data center operations, and power infrastructure, positioning it to serve enterprise demand that it says hyperscalers and commodity GPU brokers are poorly equipped to address. The company’s hyperdistributed footprint spans colocation facilities across the United States, with compute capacity in Atlanta, Kansas City, Philadelphia, Denver, and Brooklyn, and sub-90-day deployment cycles for fully operational GPU-as-a-service environments.
The investment reflects growing institutional confidence in the GPU-as-a-service market, which is forecast to grow from $7.4 billion in 2026 to $21.2 billion by 2031.
KEY QUOTE:
“In a market where enterprises are tired of reactive procurement and broker-driven delays, the financial flexibility that ATW Partners has provided is a genuine competitive advantage, one that is enabling us to transform how enterprises access the GPU-powered cloud infrastructure they need for production AI. We’re building at a pace and scale that the demand curve requires, and this capital is what makes that possible.”
Patrick Gahan, SVP Capital Markets, QumulusAI
