Urban & Metro Edge AI Data Centres
Edge AI infrastructure positioned inside or near major metropolitan areas to deliver ultra-low latency for real-time AI inference, smart city applications, and next-generation digital services. These facilities integrate seamlessly into the urban fabric using compact, zero-emission hydroelectric power systems.
Understanding the Distinction
Urban AI facilities are like neighbourhood electrical substations. Metro AI facilities are like regional power plants. You need both, but they serve very different roles and are complementary, not interchangeable.
🏙️ Urban AI Facilities
Inside the city • 0–5 km from users
0–5 km from Users
Located inside city limits or within a few kilometres of downtown areas and population centres.
1–5 ms Latency
Ultra-low latency for real-time AI inference, autonomous vehicles, and smart city applications.
Compact Footprint
Smaller facilities (1–20 MW) designed to integrate with mixed-use urban environments.
Liquid Immersion Cooling
High-density compute with advanced cooling—no cooling towers required.
Near-Silent Operation
Designed to coexist with residential, commercial, and transit infrastructure.
Waste Heat Recovery
100% of waste heat can be captured and exported to district energy systems.
🌆 Metro AI Facilities
Suburban/industrial zones • 10–50+ km from downtown
10–50+ km from Downtown
Positioned in suburban or industrial zones on the metropolitan ring around cities.
10–40+ ms Latency
Suitable for large-scale AI training, cloud workloads, and bulk compute operations.
Large Campus Scale
Substantial facilities (20–100+ MW) optimized for expansion and hyperscale operations.
Air/Hybrid Cooling
Traditional cooling infrastructure with visible cooling towers and substations.
Side-by-Side Comparison
| Category | Urban AI Facility | Metro AI Facility |
|---|---|---|
| Distance to users | 0–5 km | 10–50+ km |
| Latency | 1–5 ms | 10–40+ ms |
| Size | Compact (1–20 MW) | Large campus (20–100+ MW) |
| Cooling | Liquid immersion / closed loop | Air / hybrid |
| Noise & vibration | Near-zero | Moderate |
| Zoning fit | Mixed-use / utility-like | Industrial |
| Heat recovery | High value (district energy) | Often wasted |
| Public benefit | Very high | Indirect |
Why Hydroelectric Power?
Canada's Renewable Advantage: Canada is the world's third-largest producer of hydroelectricity, with over 60% of national electricity generation coming from hydro. In Quebec and BC, this exceeds 95%. Urban Edge facilities leverage this existing clean infrastructure for zero-emission AI compute.
Reliable Baseload Power: Unlike solar or wind, hydroelectric provides consistent, dispatchable power 24/7. This reliability is essential for AI workloads that require uninterrupted compute capacity.
Urban Compatibility: Grid-connected hydroelectric power allows Urban Edge facilities to operate in metropolitan areas without the noise, emissions, or fuel delivery requirements of on-site generation. This enables truly urban-integrated compute facilities.
Use Cases
Autonomous Vehicles
UrbanReal-time AI inference for self-driving cars requires edge compute within milliseconds of the vehicle. Urban Edge facilities provide the latency needed for safe autonomous navigation.
Smart City Infrastructure
UrbanTraffic management, emergency response optimization, and public safety systems all require local AI processing that can't tolerate cloud latency.
Healthcare AI
UrbanMedical imaging analysis and real-time diagnostics require high-performance compute close to hospitals and clinics.
Financial Services
UrbanHigh-frequency trading and real-time fraud detection demand sub-millisecond response times only achievable at the edge.
Large-Scale AI Training
MetroTraining foundation models and running batch ML workloads that can tolerate higher latency but require massive compute capacity.
Cloud Regions & Hyperscale
MetroBulk storage, content delivery networks, and enterprise cloud applications serving regional markets.
Why Urban Matters for Cities
Urban AI facilities enable real-time services, reduce network congestion, support sovereign data control, can export 100% of waste heat to buildings, and align with climate, housing, and resiliency goals. Metro AI facilities are essential for scale but cannot replace urban edge compute—they do not solve latency-critical use cases.
District Energy Integration
Urban facilities can export 100% of waste heat to nearby buildings, replacing fossil fuel heating and contributing to municipal climate targets.
Zero-emission heatingClean Electricity Grid
Connected to Canada's clean electricity grids, with BC and Quebec already at 95%+ renewable hydroelectric power.
Leveraging existing clean infrastructureSmart Cities Challenge
Supporting the federal Smart Cities Challenge by providing the compute infrastructure for AI-powered municipal services.
Enabling smart city innovationUrban Densification
Compact urban facilities support densification goals by bringing compute closer to where people live and work—like neighbourhood substations.
Sustainable urban developmentGreco Energy's Vision
Led by Leo Paskalidis, our Urban & Metro Edge AI Data Centres represent infrastructure, not industrial development—comparable to utilities, substations, or transit systems. By deploying both urban (0–5 km) and metro (10–50 km) facilities, we create a complete network that serves everything from real-time autonomous vehicle AI to large-scale model training.