SCALABLE, OFF-GRID, AND READY TO DEPLOY

Data Centers

AI workloads require high-density, high-efficiency compute environments, but many legacy data centers weren’t built for this scale. They can take years to construct, struggle with inefficient cooling, and drive up costs due to outdated power architectures. AI needs a new kind of data center—built for the future, not the past.

Icon of three stacked server racks or network devices with lines and circles.

“Global demand for data center capacity could more than triple by 2030, with estimates ranging from +19% to +27% CAGR.”

McKinsey & Company

AI-Optimized
Data Centers

Our facilities are designed for high-density AI workloads, aiming to deliver enhanced efficiency, reliability, and performance.

Seamless
Power Integration

Our data centers are not solely reliant on the grid. Future expansion plans include the potential to access 100+ MW of behind-the-meter natural gas.

High-Efficiency,
Rapid Deployment

We focus on prefabricated Tier-3 facilities with the goal of achieving a PUE below 1.1, aiming to power compute with minimal waste in a timeframe of months rather than years.

Global Demand for Data Center Capacity Could Triple

DATA CENTER CAPACITY DEMAND IN GIGAWATTS

[One] possible scenario sees demand rising by 27 percent to reach 298 GW. [...] To avoid a deficit, at least twice the data center capacity built since 2000 would have to be built in less than a quarter of the time.

Source: McKinsey & Company

Data Centers operate reliably with our controlled power generation.

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Data Centers operate reliably with our controlled power generation. >> Click to learn more. >>