Abstract
This disclosure describes a way to organize the physical infrastructure of AI as a grid, in the manner of an electricity grid, a mobile network or a water system, so that it is resilient and lives within the resources and environment of each place. The grid is made of parks: certified sites, each serving a declared coverage area, as a cell tower does, with a guaranteed response time and minimum capacity for the essential services of that area. Each park also holds reserves, as a reservoir does: spare computing, restore copies of models and data, and stored energy, released to neighbouring parks when they are short. Each park declares environmental limits, such as maximum power drawn from the local grid, water used for cooling, heat released and noise, and its independent safety plane enforces them as hard limits, reducing load before any limit is crossed. A grid coordinator moves work between parks to follow clean power, available water and safety: deferrable work, such as training, moves to parks with surplus renewable power or lower water stress, while work bound to local data stays where its data is and is deferred instead. When a park is threatened, for example by a verified hazard alert, an outage or extreme heat, the grid moves movable work away beforehand and neighbouring parks take up its coverage from their reserves. Waste heat is offered to the surroundings. Parks report their resource use publicly, and the grid keeps working when any park is lost.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Wang, Edward D. H., "SI Infrastructure™: A Grid of Parks for AI Computing, Each Serving a Coverage Area like a Cell Tower and Holding Reserves like a Reservoir, with Environmental Limits Enforced by Each Site's Safety Plane and Work Moved across the Grid to Follow Clean Power, Water and Safety", Technical Disclosure Commons, (October 20, 2026)
https://www.tdcommons.org/dpubs_series/12310