AI Datacenter Explorer Map
Power + Water + Edge Readiness Map
Review power, water-stress, and edge layers in one operational workspace so teams can monitor where readiness is improving, degrading, or still too thin to trust.
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:
- β‘ Power Layer: Shows substation locations, queue markers, and grid capacity. Use this to identify regions with available interconnection capacity.
- π§ Water Layer: Displays water stress zones and cooling constraints. Critical for evaluating cooling options and permit timelines.
- π Edge Layer: Highlights IXP locations, fiber routes, and latency contours. Essential for inference workloads.
- π 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.