AI Datacenter Explorer Map

Power + Water + Edge Readiness Map

Overlay power substations, water-stress zones, and edge connectivity to evaluate AI datacenter site readiness at a glance.

Updated: UnknownCadence: dailySource: Live database layers
High-voltage substations (≥69 kV) from EIA & OSM. Proximity to a substation determines interconnection feasibility and time-to-power.
Water Stress Score (WSS) from WRI Aqueduct. Higher scores = greater cooling risk. Critical for evaporative & direct-liquid cooling site selection.
Edge Readiness Index (ERI) combining latency, fiber density, and IXP proximity. Higher scores = better low-latency connectivity.
Integrated AI Infrastructure Readiness Score. Composite: 50% Power + 30% Water + 20% Edge. Higher = more deployment-ready.
Internet Exchange Points (IXPs) from PeeringDB. More participants = richer peering and lower transit costs.
Loading map layers…
IAIRS = 50% Power + 30% Water + 20% EdgeFree explorer; paid exports and alerts in Pro/Team.
0 points
850+ sites tracked | 2,400+ queue entries | 45 metros
Export IC-Pack

How to Use the GLRI.io Interactive Map for Datacenter Site Selection

The GLRI.io Interactive Map provides the most comprehensive view of AI datacenter site readiness across the United States. Each layer reveals critical information for site selection:

  • ⚡ Power Layer: Shows substation locations, queue markers, and grid capacity. Use this to identify regions with available interconnection capacity.
  • 💧 Water Layer: Displays water stress zones and cooling constraints. Critical for evaluating cooling options and permit timelines.
  • 🌐 Edge Layer: Highlights IXP locations, fiber routes, and latency contours. Essential for inference workloads.
  • 📍 Sites Layer: Shows all tracked sites with readiness scores and risk bands for map context only.

Suggested workflow: Start with the Power layer to identify ISOs with favorable queue dynamics. Add the Water layer to filter for acceptable stress levels. Use the Edge layer to confirm latency requirements. Finally, enable the Sites layer to evaluate specific locations.

Deep-linking: Share your current view by clicking the Share button. The URL will update to include layer, zoom, and center parameters. Recipients can open the link to see the exact same map configuration.