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Applied AI·June 28, 2026·1 min read

Google is rationing Gemini access to Meta because it cannot provide enough compute

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When Google is capping Meta’s Gemini usage due to compute limits—and other clients are reportedly hit too—capacity, not model quality, is the binding constraint. If your roadmap assumes elastic access to top-tier APIs, you need a hedge: multi-vendor abstraction, smaller models, or owned capacity.