QumulusAI deploys 1,144 Nvidia Blackwell GPUs in AI facility with total cost under $500 million.

QumulusAI has announced the deployment of 1,144 NVIDIA Blackwell GPUs, marking the initial phase of its 2026 GPU expansion roadmap and representing the first drawdown under its previously announced $500 million non-recourse financing facility with USD.AI. The first phase consists of 760 NVIDIA Blackwell GPUs and demonstrates QumulusAI's innovative capital model, which aligns flexible financing with next-generation GPU infrastructure to accelerate time to market for enterprise AI customers. The company has also funded the second phase with a deposit for its next 384-GPU B300 cluster scheduled for late-March delivery, with the remaining balance expected to be funded in part through a subsequent draw under the USD.AI facility.

QumulusAI's Chief Executive Officer Mike Maniscalco stated: "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 server platforms leverage NVIDIA's next-generation architecture to support complex AI training and inference workloads, delivering significant improvements in performance, memory bandwidth, and energy efficiency. By integrating Blackwell infrastructure into its hyper-distributed cloud model, QumulusAI provides customers enterprise-grade GPU access without hyperscaler bottlenecks, long procurement cycles, or rigid multi-year commitments.

The 760 Blackwell GPUs represent the initial phase of QumulusAI's broader 2026 capacity expansion plan, with the company expecting 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. Planned 2026 deployments include scaled rollouts of B300 and RTX Pro 6000 platforms, with additional Blackwell-based capacity expected in successive phases. QumulusAI's infrastructure strategy is built on five core pillars—Flexibility, Access, Cost, Trust, and Speed—enabling customers to scale AI workloads with predictable performance and enterprise-grade reliability. Additional deployments under the USD.AI facility are expected throughout 2026 as the company advances its roadmap to serve demand across industries including healthcare, financial services, media, automotive, and advanced research.