QumulusAI deployed 1,144 NVIDIA Blackwell GPUs in a facility under $500M investment.
QumulusAI, a vertically integrated AI infrastructure company, announced on February 19, 2026, the deployment of 1,144 NVIDIA Blackwell GPUs, marking their first drawdown under a previously announced $500 million non-recourse financing facility with USD.AI. The deployment consists of two phases: the first includes 760 NVIDIA Blackwell GPUs, representing QumulusAI's first large-scale implementation of its innovative capital model that aligns flexible financing with next-generation GPU infrastructure. The second phase involves a deposit for 384 additional B300 GPUs scheduled for late-March delivery, with the remaining balance expected to be funded in part through a subsequent draw under the USD.AI facility.
CEO Mike Maniscalco stated that "This deployment demonstrates how AI infrastructure must be built in this era. It needs to be fast, modular, and capital-efficient. By combining NVIDIA's Blackwell platform with a flexible financing structure, we are bringing meaningful compute capacity online at hyperspeed while maintaining capital discipline." The Blackwell-based infrastructure is designed to support increasingly complex AI training and inference workloads, delivering significant improvements in performance, memory bandwidth, and energy efficiency that enable customers to train larger models, accelerate inference pipelines, and improve cost-per-token economics.
The 760 Blackwell GPUs represent the initial phase of QumulusAI's broader 2026 capacity expansion plan. The company expects total GPU inventory to exceed 20,000 GPUs by the end of 2026, driven by phased deployments across its distributed network of data center partners throughout the year. Planned 2026 deployments include scaled rollouts of B300 and RTX Pro 6000 platforms, with additional Blackwell-based capacity expected in successive phases, positioning the company to respond rapidly to training and inference workloads across industries including healthcare, financial services, media, automotive, and advanced research.
QumulusAI's infrastructure strategy is built on five core pillars: Flexibility, Access, Cost, Trust, and Speed, which enable customers to scale AI workloads with predictable performance and enterprise-grade reliability. By integrating Blackwell infrastructure into its hyper-distributed cloud model, QumulusAI provides customers access to enterprise-grade GPU capacity without hyperscaler bottlenecks, long procurement cycles, or rigid multi-year commitments. Additional deployments under the USD.AI facility are expected throughout 2026 as the company advances its roadmap of combining next-generation GPU platforms, innovative capital structures, modular data center partnerships, and distributed geographic deployment.