Armada has joined the VAST Cosmos Community through a partnership with VAST Data. The companies aim to accelerate the rollout of distributed AI factories across core and edge environments. The announcement comes as enterprises push AI workloads closer to where data is generated.
Under the agreement, Armada will combine its Galleon modular data centers and Edge Platform with the VAST AI Operating System. Together, the companies plan to offer an integrated stack that supports private, distributed, and global AI factory models. Customers can deploy systems in remote or regulated regions while maintaining security and data control.
Integrating Infrastructure and Data
Modular data centers already support high-density AI workloads. However, organizations also need unified data orchestration across multiple sites. Therefore, Armada and VAST will align infrastructure, storage, and lifecycle management within a single platform.
Armada designed its Galleon system for dense AI deployments in challenging locations. Customers can install it in remote or disconnected areas. VAST embeds its AI OS directly into the Galleon, so enterprise-grade storage and data services are delivered as part of the system.
Meanwhile, the Armada Edge Platform provides GPU-as-a-Service capabilities. It also manages and orchestrates AI workloads across locations. By integrating with VAST DataSpace, the platform enables shared data visibility across core, regional, and edge sites. As a result, companies can coordinate training and inference without relying on a single centralized hub.
Supporting Sovereign and Global Models
Regulatory and data residency rules continue to tighten. Consequently, many organizations want AI infrastructure within their own controlled environments. At the same time, they want global coordination across sites.
Uday Tennety, Vice President of Product and Partnerships at Armada, said AI factories require tight integration between compute and data layers. He added that the partnership enables customers to scale distributed AI systems across sovereign environments.
John Mao, Vice President of Global Technology Alliances at VAST Data, said modern AI systems depend on a unified data foundation. He noted that the joint platform helps customers operate AI workloads consistently across centralized and edge deployments.
The companies expect the combined system to support edge inference, large-scale model training, industrial automation, and government applications. As AI expands beyond centralized data centers, integrated infrastructure stacks like this are gaining traction.
