The article alludes to it: “The United States does not lack flat, open land away from population centers on which to build data centers. However, AI hyperscalers prefer to locate their campuses near existing infrastructure so they don’t have to spend massive amounts of time and resources building everything from scratch.”
It costs a lotta money to run electricity and water to the middle of nowhere.
Also, companies are doing research to specifically build in areas where they believe the local community is not politically empowered to prevent it from being built. This guy goes into some more depth at this timestamp: https://youtu.be/1CpVmPh3BDE?t=831
The article alludes to it: “The United States does not lack flat, open land away from population centers on which to build data centers. However, AI hyperscalers prefer to locate their campuses near existing infrastructure so they don’t have to spend massive amounts of time and resources building everything from scratch.”
It costs a lotta money to run electricity and water to the middle of nowhere.
Also, companies are doing research to specifically build in areas where they believe the local community is not politically empowered to prevent it from being built. This guy goes into some more depth at this timestamp: https://youtu.be/1CpVmPh3BDE?t=831
Fascinating thank you. Brings me back to ArcMap training days. I wonder if they have some data layer for “local population acceptance factor”.
I’m sure they do. Probably using an AI model to calculate it tbh