At ISC 2026 (Europe's premier international supercomputing conference) in Hamburg, Germany, KAYTUS (provider of IT infrastructure products and solutions) announced a fully prefabricated containerized liquid-cooled data center solution capable of scaling from a 3MW base unit to 1GW AI Factory deployments, positioning the product as a direct response to the accelerating demand for sovereign AI infrastructure across European Union member states.

A Modular Architecture Built Around Three Standardized Containers

The core of the KAYTUS solution rests on a factory prefabrication model that organizes the entire data center into three discrete containerized module types: the IT Cube, the Power Cube, and the Cooling Cube.

The company describes this as a departure from conventional approaches that prefabricate only IT racks and liquid cooling modules while leaving mechanical and electrical infrastructure to be assembled on-site.

By completing full system integration at the factory across IT, power, and cooling systems, KAYTUS says the architecture enables faster deployment, improved system consistency, and a reduction in on-site complexity.

The company is offering end-to-end single-vendor delivery covering planning, integration, and operations, with a stated deployment timeline as short as six months. The solution supports scaling increments of 3MW, 10MW, 15MW, 100MW, and up to 1GW.

Inside the IT Cube

The IT Cube uses a two-tier stacked container design. Compute racks occupy the lower level, while consolidated power and data cabling is routed through the upper level. Hot and cold aisles are physically separated within the unit to manage thermal load, and the full system is integrated at the factory before shipment.

A single 3MW base unit integrates 18 liquid-cooled compute racks, 12 network racks, five storage racks, and five server management racks. Each liquid-cooled rack supports 150kW of power density, with an upgrade path defined for 200 to 227kW to accommodate next-generation AI accelerators and high-density compute platforms.

The cooling distribution unit within each IT Cube is configured with 1+1 redundancy and delivers 1,200kW of cooling capacity per unit. The system supports high-temperature chilled-water operation with primary-side supply and return temperatures of 35 and 45 degrees Celsius, respectively, and secondary-side supply and return temperatures of 40 and 45 degrees Celsius.

Secondary-side liquid-cooling loops, flow-control valves, and leak-detection systems are all factory-integrated. Valve control can be configured for manual operation, remote electric control, or smart energy valve management.

The IT Cube also incorporates a standard three-tier Spine-Leaf-Core network architecture that allows multiple 3MW units to be interconnected and managed as a unified AI cluster.

Inside the Power Cube

The Power Cube is built around independently factory-prefabricated enclosures: a Power Transfer Unit enclosure and a diesel generator enclosure. Each PTU is rated at 2,500kVA and integrates a medium-voltage transformer, high- and low-voltage switchgear assemblies, high-frequency UPS systems, and automatic transfer switching between grid and generator power supplies.

The companion diesel generator Cube is fully assembled, integrated, and factory-tested prior to shipment. Full-scenario simulation testing is completed before delivery, including loaded transfer switching and short-circuit testing.

Three Structural Challenges Driving Demand for the Solution

KAYTUS framed the product launch against three challenges it says are consistently impeding AI Factory deployments across the European Union, where the EU's AI Factories initiative is accelerating demand for large-scale, high-density AI clusters that must be brought online quickly.

The first challenge is speed to deployment. Conventional data center construction typically requires 18 to 24 months, with electrical, mechanical, and cooling systems often delivered by multiple independent vendors.

KAYTUS describes this fragmented delivery model as creating coordination gaps that result in schedule delays, cost overruns, and deferred revenue realization. Operators absorbing high GPU rack colocation costs and substantial capital investment face pressure to bring capacity online rapidly.

The second challenge concerns construction quality. Local construction capabilities vary significantly across regions, skilled labor is often limited and costly, and conventional build standards may fall short of the requirements for high-density AI systems. Multi-trade site execution makes it difficult to maintain consistent quality across structural, load-bearing, power, and liquid-cooling systems.

The third challenge involves capital commitment and phased expansion. Building gigawatt-scale AI infrastructure in a single project phase requires substantial upfront capital expenditure and increases the risk of stranded capacity if demand patterns shift.

However, staged expansion can create interoperability issues between different generations of power, cooling, and facility infrastructure. KAYTUS describes operators as being forced to choose between over-investing upfront or absorbing costly retrofit and rework requirements later.

Market Context: EU AI Factories Initiative

KAYTUS made the announcement at ISC 2026, the international supercomputing conference held in Hamburg. The company identified the EU's AI Factories initiative as a key driver of demand for the type of infrastructure its solution targets, describing a broader transition in which compute deployments are moving toward large-scale, high-density AI clusters that require rapid deployment, integration, and activation.

KAYTUS describes itself as a leading provider of AI infrastructure and liquid cooling solutions. The gigawatt-scale prefabricated data center represents the company's response to what it characterizes as the limitations of conventional construction models when applied to the speed, scale, and density requirements of modern AI infrastructure.

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