Will Microsoft-Backed Armada Redefine Modular Data Centres?
Armada, a US-based hyperscale edge data centre company, has announced a US$131m strategic funding round alongside the launch of Leviathan, its largest modular data centre (MDC) unit to date.
Designed for megawatt-scale performance, Leviathan extends Armada’s Galleon product line and can be deployed rapidly in remote or infrastructure-limited environments.
With investment from new strategic partners including Pinegrove, Veriten and Glade Brook, and returning backing from Founders Fund, Lux Capital and Microsoft’s venture arm M12, the new round underscores growing interest in decentralised AI infrastructure.
The ruggedised Leviathan MDC unit is designed to meet mounting demand for scalable, flexible data centres capable of supporting compute-intensive workloads at the edge.
According to Dan Wright, Co-Founder and Chief Executive of Armada, the launch reflects both technical ambition and a strategic goal of ensuring US leadership in energy and AI infrastructure.
“American energy and AI dominance hinges on one thing: moving massive compute to the edge — fast — where data and low-cost power live,” he says.
“Leviathan, the newest member of our Galleon product line, does exactly that. Each unit delivers megawatt-scale performance in a fraction of the time and much more flexibly than traditional data centres, due to their ability to rapidly adapt to changes in AI chips and cooling, and collocate with all available land and energy, regardless of its form or location.”
From suitcase-sized edge to megawatt-scale delivery
Leviathan offers 10 times the compute capacity of Armada’s Triton product, previously the largest unit in the Galleon lineup.
Engineered to deliver autonomous compute for training and inference workloads, Leviathan is optimised for real-world deployment.
Powered by the Armada Edge Platform (AEP), the unit is designed for relocation and scale, enabling operators to redeploy modules across regions in response to evolving requirements.
The launch reflects a wider trend of data centre innovation prioritising mobility, resilience and sovereign deployment.
Armada says the Leviathan model can be deployed in weeks, compared to the long lead times typical of conventional data centres.
It can operate alongside stranded natural gas, solar, nuclear or other alternative energy sources, allowing infrastructure to be built in locations with surplus energy but limited digital capacity.
“From day one, we backed Armada because they saw what others missed: America’s AI leadership hinges on owning the entire stack—from power and silicon to software—and being able to deploy it anywhere,” says Trae Stephens, Partner at Founders Fund and early Armada investor.
“Leviathan drives that vision forward, expanding the Galleon line-up from suitcase-sized edge nodes for lightweight analytics and inference to megawatt-scale modules that can train and serve frontier models in the harshest environments. With a Galleon for every workload, Armada keeps US and allied AI efforts a step ahead.”
Strategic deployments across US energy corridors
Armada is already working with energy partners such as Fidelis New Energy and Bakken Energy to install Leviathan units across several US states.
Initial strategic deployment locations include North Dakota, Texas, West Virginia and Louisiana — areas where surplus power resources can now be converted into high-density compute for AI workloads.
“Leviathan embodies our belief that hardware should behave like software: deployable, upgradeable and governed entirely by code,” says Pradeep Nair, Founding CTO of Armada.
“Paired with the turnkey Armada Edge Platform and its growing Marketplace of AI models and applications, Leviathan’s liquid-cooled, energy-agnostic modules deliver megawatt-scale training and inference in weeks — bridging the digital divide by bringing AI straight to the edge, where data and power already live.”
By positioning Leviathan as an alternative to legacy hyperscale builds, Armada is aiming to define a new model for rapid AI infrastructure — one that favours speed, mobility and integration with local energy assets.
The company’s strategy reflects a growing shift towards distributed data centre architecture and sovereign AI infrastructure aligned with national competitiveness.
