Corespan Systems (HQ: New Hampshire, USA. CEO: William Koss) is pleased to announce a joint go-to-market partnership with Core Micro Systems Inc
(HQ: Itabashi-ku, Tokyo. CEO Shozo Takahashi) bringing together two complementary pieces of the modern AI stack: our composable, software-defined infrastructure and Core Micro Systems’ advanced compute, storage, and modular data-center systems. As customers move from AI experiments to production, they need infrastructure that is powerful, deployable, and adaptable across very different operating environments. This partnership is built to give them exactly that — a way to move from constrained, static systems to a flexible foundation that scales with demand.
“AI infrastructure can no longer be designed as a collection of static, isolated systems,” said Bill Koss, President and CEO, Corespan Systems. “Our partnership with Core Micro Systems brings together composable infrastructure intelligence and proven AI/HPC deployment expertise, giving customers a faster and more efficient way to build, deploy, operate, and scale the environments that modern AI workloads require.”
The collaboration pairs Corespan’s DynamicXcelerator™ software-defined infrastructure platform with Core Micro Systems’ expertise in advanced compute, storage, hybrid cloud integration, and modular data-center systems — combining high-density, composable GPU and PCIe resource pools with flexible AI/HPC platforms that can be deployed in enterprise data centers, modular facilities, edge environments, and hybrid-cloud architectures.
“Organizations need AI infrastructure that is powerful, deployable, and adaptable across diverse operating environments,” said Shozo Takahashi, President and CEO, Core Micro Systems. “By combining Core Micro Systems’ advanced systems and modular data-center capabilities with Corespan’s workload-aware resource orchestration, we can help customers move from constrained infrastructure to a more flexible, scalable AI foundation.”
A Faster Path from Pilot to Production
Pre-integrated, jointly validated architectures will reduce the effort required to design, procure, deploy, and operationalize AI and HPC environments. Rather than assembling and tuning isolated systems, customers start from configurations the two companies validate together.
Higher Utilization, Less Stranded Capacity
Corespan lets infrastructure teams allocate compute, GPU, storage, and PCIe resources dynamically around real workload needs, instead of locking capacity into fixed server configurations. Composable resource sharing helps match resources to changing demand and minimizes idle or overprovisioned capacity.
Deploy Anywhere, Scale on Demand
The joint solution runs in traditional data centers, micro data centers, modular facilities, edge locations, and hybrid-cloud environments. That flexibility supports growth from departmental AI initiatives to large-scale inference, model development, simulation, and high-performance computing.
Control Over Data and Economics
Customers retain control over infrastructure, data placement, and deployment decisions while extending capacity across distributed environments. By reducing fixed infrastructure boundaries and increasing resource sharing, organizations can avoid overbuilding and better align capital and operating costs with actual demand.
Joint Go-to-Market Approach
Corespan Systems and Core Micro Systems will jointly engage customers, channel partners, and ecosystem providers to develop solution configurations tailored to specific AI and HPC requirements. The companies plan to collaborate on reference architectures, integrated solution packages, proof-of-concept deployments, and customer-support programs. Together, the partnership is expected to support a broad range of use cases, including enterprise AI inference, sovereign AI, engineering and scientific simulation, edge AI, research computing, and hybrid AI/HPC services.