Enter the GPUs. Acres works with geospatial data—not just spreadsheets, but vector and raster layers that define the points, lines, and polygons behind land ownership and zoning maps. Crunching that kind of imagery and geometry is computationally heavy, and bringing GPUs in‑house lets the team train models and run site‑selection analyses faster and at lower cost, according to Malloy, who declined to comment on how much his utility bills had risen, apart from saying “it uses some power.”
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Карина Черных (Редактор отдела «Ценности»)