Micro Data Center is a self-contained, modular data center starting at 1MW and scaling up to 10MW, designed for rapid deployment near energy sources or at the edge for low-latency computing.

Traditional data centers require massive capital, long construction timelines, and grid dependency. MDCs deploy in 6–12 months, cost 50–70% less, and can operate on local or renewable power.

MDCs are designed to appear as additional compute instances within your existing AWS or Azure interface, allowing seamless workload management without retraining or retooling.

Each MDC includes built-in Zero Trust Security—workloads are encrypted and can move securely across nodes with customer-held keys, minimizing breach risk.

Our MDCs include sensors across all components that power predictive maintenance, real-time workload optimization, and dynamic power management to reduce operational costs.

Yes. Our MDCs use integrated liquid cooling and active thermal management, reducing energy waste and extending hardware lifespan—ideal for remote or harsh environments.

Anywhere with available power—at energy production sites (e.g., natural gas, renewables), urban zones, airports, defense hubs, or telecom nodes.

Typical deployment is 6 to 12 months—much faster than traditional builds, which can take 2–5 years.

Our AI operations platform enables remote, lights-out management, but on-site access and physical service models are available where required.

Cloud providers, enterprises, SMBs, AI/IoT firms, smart cities, energy companies, and any mission-critical environment that demands resilient, low-latency infrastructure.

Absolutely. MDCs are optimized for AI training and inferencing workloads, with high-density compute and smart cooling to ensure efficiency and performance.

Yes, we are actively engaging with investors, energy partners, edge infrastructure providers, and smart city operators. Contact us to learn more.

Yes. Our enabling software and system architecture are patent-pending, covering core innovations in security, AI operations, and energy optimization.