QumulusAI, a neocloud infrastructure provider purpose-built for the AI computing era, announced that it has completed the deployment of 616 NVIDIA RTX PRO 6000 Blackwell GPUs for Runpod under two reserved-capacity agreements combining one- and two-year terms.
All 77 GPU nodes under the agreements are now active. Full deployment was reached in August 2026, ahead of the agreements' original Sept. 1, 2026 target. The GPUs are being served from QumulusAI's existing U.S. data center footprint.
"Teams building on Runpod need inference capacity that lands fast and prices well. QumulusAI got all 616 of these GPUs live ahead of schedule, which means developers get to use them sooner," said Bill Sehmel, Manager of Datacenter Infrastructure at Runpod.
Runpod, a GPU cloud marketplace for AI developers, will offer the RTX PRO 6000 Blackwell capacity to its customers for production AI inference and agentic workloads. RTX PRO 6000 Blackwell GPUs extend QumulusAI's inference- and visualization-class compute alongside its NVIDIA Blackwell B300 and B200 fleet, consistent with the company's approach of matching each workload to the right architecture.
"Bringing all 616 of these RTX PRO 6000 GPUs live for Runpod weeks ahead of schedule is exactly what our demand-led model is built to do," said Ryan DiRocco, CTO of QumulusAI.
