
The company is taking a modular approach to designing these chips, anticipating that their needs will change as AI evolves rapidly by the time the chips are in production.
Meta is beginning production of its own custom AI chips in September as part of an effort to reduce its spending on expensive graphics processing units from other chipmakers. The company has been developing these chips through its MTIA program since at least 2023 and plans to use them for training models and running AI tasks across its applications. This matters because Meta is spending tens of billions of dollars on computing capacity for its AI efforts, and producing its own chips could help lower those costs, though the company expects to continue buying from traditional GPU makers as well. Other major technology companies including Amazon and Google are similarly developing their own AI chips to reduce their dependence on external suppliers.

Local opposition groups surged to 430 from 76 since 2025, while recent Virginia project failures suggest community acceptance is emerging as a new site-selection variable for AI infrastructure.

Meta’s 1 GW Alberta campus reveals how hyperscalers now secure power and transmission years before announcing AI campuses.

Having proven how valuable compute can be, the company finds itself at the center of a market everyone wants to be in — while simpler technologies and less interesting companies get rich on the sidelines.
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