QumulusAI Acquires 1,632 NVIDIA Blackwell B300 GPUs

Dual-sourced order of 204 NVIDIA HGX B300 systems expands the company’s hyperdistributed AI cloud as customer demand accelerates

QumulusAI, a neocloud infrastructure provider purpose-built for the AI computing era, announced the purchase of 1,632 NVIDIA Blackwell B300 GPUs to meet accelerating customer demand for high-performance AI compute. The GPUs will be delivered across 204 NVIDIA HGX B300 systems and represent one of the company’s largest single capacity expansions to date. The purchase was funded primarily through financing arrangements with Technology Finance Corporation and USD.ai.

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The order lands as demand for AI infrastructure continues to outpace supply. Against that backdrop, QumulusAI has been converting signed, multiyear customer demand into deployed compute, including more than $124 million in three-year inference agreements announced earlier this year. The B300 purchase directly supports that contracted and near-term pipeline.

“Meeting AI demand is a test of access, speed and flexibility, and you can’t win on one without the other two,” said Mike Maniscalco, CEO of QumulusAI. “Our model gives us the flexibility to source across multiple OEM partners such as Supermicro and Lenovo and to deploy across a national network of colocation and owned facilities. When demand moves, we move with it. That’s how 1,632 B300 GPUs go from purchase order to production at hyperspeed.”

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Alongside the B300 systems, which are built for large-scale AI training and high-throughput inference, the order includes an additional 192 NVIDIA RTX PRO 6000 Blackwell GPUs. Together, the two architectures give QumulusAI customers workload-matched options spanning training, inference and visualization, consistent with the company’s F.A.C.T.S. approach of mapping the right compute to each AI workload rather than forcing every job onto a single platform.

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