Master Planning
Campus-scale planning for compute density, growth and resilience.

Every D-AI Gigafactory is a standalone sovereign intelligence engine designed exclusively for one country, one governing authority and one national dataset.
500MW+
Power per campus
100k+
GPUs deployed
Tier IV
Fault tolerance
PUE 1.15
Design efficiency
Conventional data centers were built to host websites, storage and enterprise workloads. Training and serving frontier AI models is a fundamentally different problem — one of extreme power density, exotic cooling and tightly-coupled network fabrics measured in petabits.
A D-AI Gigafactory is purpose-engineered for that mission. Power, thermal, network and security systems are co-designed from first principles so a nation can train its own foundation models, run classified inference and expand capacity — all inside its own borders, under its own laws.
Campus-scale planning for compute density, growth and resilience.
Utility, microgrid and on-site generation engineered for 500MW+ loads.
Diverse, low-latency routes with sovereign network topology.
Closed-loop liquid cooling with minimal water dependency.
Solar, storage and hydrogen readiness for low-carbon operation.
Recovered thermal energy channeled to district and industrial use.
Physical and logical defense-in-depth for national assets.
Fault-tolerant design for mission-critical availability.
Every program is scoped to a nation's ambition — from a foundational national node to a frontier-scale gigafactory, all expandable in modular blocks.
Foundational sovereign inference and mid-scale training for a single ministry or agency.
Whole-of-government training, cross-sector workloads and national model development.
Frontier-scale foundation-model training and a nation-wide intelligence backbone.
AI compute lives and dies by power. We engineer resilient, low-carbon energy systems that keep frontier clusters running without interruption.
High-voltage grid connections engineered for 500MW+ continuous IT load with redundant substations.
Grid-scale BESS for peak shaving, frequency response and ride-through resilience.
Co-located solar and gas turbine capacity with hydrogen-ready pathways for firm power.
2N and 2N+1 electrical topologies eliminating single points of failure to the rack.
Next-generation accelerators run hot. Liquid and immersion cooling let us pack unprecedented density while slashing water and energy overhead.
Cold-plate cooling removes heat at the source, supporting 100kW+ per rack densities.
Single- and two-phase immersion zones for the highest-density accelerator clusters.
Recirculating systems minimise water draw, critical for arid and water-stressed regions.
Captured waste heat feeds district heating, desalination or industrial processes.
A sovereign supercomputer is critical national infrastructure. Every layer — from the perimeter to the key store — is hardened.
Standoff distance, anti-ram barriers, layered fencing and continuous surveillance.
Mantraps, biometric access control, 24/7 guard force and compartmentalised zones.
Cage-level segregation, tamper detection and role-based physical access.
Air-gapped enclaves, hardware root-of-trust and sovereign key management.
Efficiency is engineered in, not bolted on. Our design targets set the benchmark for responsible sovereign AI infrastructure.
1.15
Target PUE
Power usage effectiveness
<0.2
WUE (L/kWh)
Water usage effectiveness
90%+
Heat recovered
Redirected to reuse
100%
Renewable pathway
Design-stage commitment
A disciplined, seven-stage program that de-risks every sovereign gigafactory from concept to live intelligence.
A sovereign agreement defining ownership, governance, data jurisdiction and national objectives.
Evaluation of power availability, connectivity, climate, water and geopolitical resilience.
Front-end engineering design with capacity modelling, cost certainty and risk analysis.
Detailed electrical, mechanical, network and structural design to Tier IV standards.
Procurement and construction managed under a single accountable delivery model.
Integrated systems testing, GPU burn-in and end-to-end performance validation.
24/7 sovereign operations, SLA management and continuous capacity expansion.
A D-AI Gigafactory is engineered end-to-end around AI training and inference at national scale — power, cooling, network fabric and security are co-designed as one system, rather than retrofitting a conventional colocation facility. Every campus is dedicated to a single sovereign owner.
The nation. D-AI designs, builds and can operate the gigafactory, but ownership, data jurisdiction and governance remain fully sovereign. Nothing is shared with other tenants or external clouds.
Timelines depend on scale and site readiness. A National Node can reach first power quickly, while a full Gigafactory follows the seven-stage lifecycle from partnership through phased commissioning, with compute brought online in expandable blocks.
Yes. Closed-loop liquid and immersion cooling dramatically reduce water dependency, and thermal design accounts for high ambient temperatures — making sovereign compute viable in desert and coastal environments.