KAYTUS's Gigawatt AI Factories Aim to Accelerate Europe's Tech Race

HAMBURG, Germany – June 25, 2026 – As the global race for artificial intelligence dominance intensifies, the primary bottleneck is no longer just algorithms or talent, but the physical infrastructure required to power them. Addressing this critical challenge head-on, AI infrastructure provider KAYTUS used the stage at ISC 2026 to unveil a two-pronged strategy designed to redefine how Europe builds and operates its next generation of AI Factories. The company announced a gigawatt-scale, fully prefabricated containerized liquid-cooled data center solution and an intelligent management platform, KSManage Ultra, aiming to solve the intertwined problems of deployment speed, operational complexity, and energy consumption.

The Race Against Time: Prefabricating the AI Future

The insatiable demand for AI compute means that speed to market is paramount. However, traditional data center construction, a process that can take 18 to 24 months, is fundamentally at odds with the rapid pace of AI development. KAYTUS’s new solution tackles this by containerizing the entire data center into factory-built modules: an IT Cube, a Power Cube, and a Cooling Cube. This modular approach, which scales from a 3MW base unit up to a staggering 1GW, promises to radically shorten delivery timelines.

The company claims this method can reduce deployment time by up to 60% compared to conventional builds. This figure aligns with broader industry trends, where competitors like Schneider Electric and Vertiv have demonstrated that prefabricated modular construction can cut deployment schedules by 40-60%. By manufacturing and pre-validating the complete system in a controlled factory environment, the complex and time-consuming process of on-site integration is dramatically simplified. A 3MW delivery unit, for instance, can reportedly be brought online within a month of arriving on a prepared site, while the company’s General Manager for Europe, Darren Cox, noted a 30MW facility could be live in as little as six months.

These are not just theoretical claims. KAYTUS has already demonstrated this capability in the European market, delivering a hundred-rack, high-density liquid-cooled AI data center for a European infrastructure firm in just four months. This represented an 80% reduction in deployment time compared to a traditional build, providing a tangible proof point for their rapid-deployment model and giving the client a crucial head start in launching its AI services.

Taming Complexity: The Brains Behind the AI Factory

Building an AI Factory quickly is only half the battle; operating it efficiently is another challenge altogether. Modern AI clusters are exercises in extreme engineering, with single-rack power densities soaring past 120kW and heterogeneous hardware creating a management nightmare. Relying on fragmented tools and manual processes is no longer viable at this scale.

This is the problem KAYTUS’s second major announcement, KSManage Ultra, is designed to solve. The platform provides a unified, intelligent command center for the entire AI Factory. It offers full-stack visibility by integrating telemetry from every layer of the infrastructure—from in-band data pulled from operating systems and drivers to out-of-band data from hardware logs, firmware, and physical sensors across the facility. This holistic view, spanning from individual GPUs to nodes, racks, and the data center itself, breaks down the traditional silos between IT systems and physical infrastructure.

By correlating this vast dataset, the platform moves operations from a reactive to a proactive model. Instead of waiting for a component to fail, KSManage Ultra can detect anomalies—such as GPU performance degradation or irregularities in a cooling circuit—and trigger alerts for early intervention. This capability to perform root-cause analysis in minutes instead of hours is critical for maintaining the high availability and performance that expensive AI workloads demand. Furthermore, the platform automates laborious tasks like bulk node discovery and stress testing, reducing single-rack commissioning time from nearly an hour to under three minutes, a crucial efficiency gain when deploying infrastructure at scale.

Powering AI Sustainably: The Liquid Cooling Imperative

Underpinning both speed and operational intelligence is a foundational shift in how data centers are cooled. The immense heat generated by dense clusters of GPUs makes traditional air cooling inefficient and unsustainable. Liquid cooling, once a niche technology for supercomputers, has become a mainstream necessity for AI. KAYTUS’s solution embraces this, with its IT Cube integrating 18 liquid-cooled racks, each capable of handling up to 150kW.

This approach yields significant environmental and economic benefits. The superior thermal conductivity of liquid allows for a much more energy-efficient cooling process, enabling the system to achieve a Power Usage Effectiveness (PUE) rating below 1.1. In an industry where legacy data centers can have PUEs of 1.5 or higher, this represents a massive reduction in wasted energy. It means nearly all electricity consumed is used to power the compute hardware itself, not the overhead of cooling it.

Beyond the direct energy savings, the prefabricated model contributes to sustainability by reducing on-site construction waste and enabling the integration of green technologies like waste heat recovery. By capturing the thermal energy from the servers, facilities can potentially provide heat for nearby buildings or industrial processes, turning a waste product into a valuable resource. This focus on efficiency and environmental responsibility is particularly crucial in Europe, where stringent regulations and corporate sustainability goals are driving demand for greener data center solutions.

A Strategic Play for Europe's AI Sovereignty

For European enterprises and research institutions, the ability to rapidly deploy scalable, efficient, and manageable AI infrastructure is a matter of competitive survival and strategic autonomy. KAYTUS's integrated offering appears custom-built to address these regional imperatives. By combining vertically integrated hardware with sophisticated management software, the company provides a turnkey solution that can help accelerate Europe's journey toward AI leadership.

"KAYTUS brings a differentiated combination of vertically integrated solutions and deep engineering expertise — spanning hardware, cluster infrastructure, management platforms, and code-level services," said Darren Cox, General Manager of KAYTUS Europe. "Underpinned by our 4D engineering expertise — Design, Develop, Deploy, and DC Operations — we can bring a 30MW large-scale data center live in as little than six months. We are committed to the European market for the long term and look forward to working with local ecosystem partners to help customers in cloud, research, manufacturing, and beyond build and scale their AI and HPC infrastructure efficiently and with confidence."

With over 200MW of liquid-cooled AI data center infrastructure already deployed globally across key markets, KAYTUS is leveraging its experience to empower a new wave of AI development. Its successful projects, including the rapid deployment for the European infrastructure unicorn, demonstrate a proven ability to deliver on the promise of building the future of AI, one modular factory at a time.