ATLANTA, GA – 03/06/2026 – (SeaPRwire) – As artificial intelligence applications continue to move from experimentation into full-scale production environments, demand for reliable, enterprise-grade GPU infrastructure is accelerating across the industry. Organizations deploying large AI models increasingly require dedicated computing capacity capable of supporting intensive inference workloads while maintaining performance, scalability, and cost efficiency. Against this backdrop, QumulusAI and Shadeform have announced a major infrastructure deployment aimed at supporting the next generation of AI platforms.
QumulusAI, a provider of GPU-powered cloud infrastructure, and Shadeform, a unified GPU marketplace and deployment platform, have entered into a two-year agreement to deploy two NVIDIA H200 GPU clusters at QumulusAI’s Kansas City facility. The deployment includes a 61-node cluster and a 24-node cluster, creating a combined total of 85 nodes dedicated to supporting rapidly growing AI inference workloads.
The infrastructure expansion is expected to serve the compute requirements of two high-growth artificial intelligence inference platforms, including one of the fastest-scaling production inference networks currently operating in the market. The deployment reflects increasing demand among AI companies for long-term access to dedicated GPU resources as model deployment and inference activities continue to expand.
The partnership combines QumulusAI’s rapid infrastructure deployment capabilities and distributed data center strategy with Shadeform’s platform for matching enterprise customers with optimal GPU resources. Together, the companies aim to provide scalable, production-ready H200 environments capable of supporting enterprise AI operations at scale.
According to Mike Maniscalco, Chief Executive Officer of QumulusAI, the agreement aligns with the company’s strategy of expanding infrastructure through long-term partnerships that connect committed customer demand with available computing capacity. He noted that relationships with organizations capable of delivering multi-year infrastructure utilization help accelerate access to GPU cloud resources for enterprises pursuing production AI initiatives.
Shadeform Chief Executive Officer Ed Goode stated that access to rapidly deployable and dedicated infrastructure remains a critical requirement for AI organizations scaling inference operations. He explained that the partnership allows customers using the Shadeform platform to gain access to enterprise-grade computing environments designed specifically for production-scale AI workloads.
For QumulusAI, the agreement represents validation of its infrastructure-first operating model, which focuses on aligning enterprise-grade GPU capacity with long-duration customer demand. The Kansas City deployment is further supported by a previously announced $45 million convertible note facility provided by ATW Partners, with $15 million funded to date.
For Shadeform, the collaboration highlights the company’s ability to secure large-scale dedicated GPU resources while helping customers address common challenges associated with infrastructure availability, reliability, and operating costs. As demand for AI inference continues to rise, access to predictable and scalable compute resources is becoming an increasingly important competitive advantage for AI platforms.
The Kansas City deployment forms part of QumulusAI’s broader hyperdistributed infrastructure network, which spans both colocation facilities and company-owned data centers throughout the United States. According to the company, the network currently provides access to more than 150 megawatts of available capacity and supports deployment timelines of less than 90 days for fully operational GPU-as-a-Service (GPUaaS) environments.
Industry analysts continue to identify infrastructure availability as one of the most significant factors influencing AI adoption and commercialization. Partnerships that connect infrastructure providers with growing AI platforms are expected to play an increasingly important role in supporting future demand for advanced computing resources.
About Shadeform
Shadeform is a unified GPU platform that enables artificial intelligence teams to discover, compare, and deploy computing resources from leading cloud providers through a single interface. Through a network of more than 30 cloud infrastructure partners, the company helps organizations optimize GPU sourcing, reduce procurement complexity, and scale AI workloads more efficiently.
About QumulusAI
QumulusAI is a vertically integrated AI infrastructure company focused on delivering distributed cloud computing solutions for artificial intelligence applications. The company develops and operates infrastructure spanning power systems, data center environments, and GPU-powered cloud services designed to support AI training and inference workloads. Through its distributed cloud model, QumulusAI seeks to provide organizations with scalable access to high-performance computing while improving cost management, operational flexibility, and infrastructure reliability.
source https://newsroom.seaprwire.com/technologies/qumulusai-and-shadeform-collaborate-to-expand-high-performance-ai-infrastructure-for-growing-inference-demand/