Where the hyperscalers build next determines where land and power get expensive, which markets get crowded, where self-build displaces leasing, and where a colocation provider or developer can still win a deal. Hyperscale data center tracking, done well, tells you all of that before your competitors see it.

To check power pricing and grid congestion for a solar or wind site, pull the historical locational marginal price (LMP) at the pricing node (P-node) where the project would inject power, split it into its energy, congestion, and loss components, and compare it with the nearest trading hub. Then measure how often that node clears at negative prices, check curtailment history in the surrounding zone, and pair the price view with substation capacity and interconnection queue da

Environmental blind spots destroy project economics faster than interconnection bottlenecks. See what to check for and how to use LandGate for solar due diligence.

U.S. data centers used about 176 TWh of electricity in 2023 and could use 325 to 580 TWh by 2028, according to a DOE-commissioned report from Lawrence Berkeley National Laboratory. The U.S. Department of Energy argues that this surge can be met with clean generation, storage, grid upgrades, efficiency, and flexible demand. For developers, that turns the siting question into a power question: the best sites will be the ones where grid headroom, clean supply, and buildable land

For two decades, Europe's data center map has been drawn around five cities. But the FLAP-D model is running into a hard limit: power.