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Turning Opportunistic AI Inference Capacity Into Better Ads Recommendations

Meta has built a system that uses idle inference capacity across its fleet to improve ads recommendations, according to a post on Engineering at Meta. The system relies on two elasticity levers that let ads recommendation work expand into opportunistic capacity without compromising baseline performance, and Meta says it now operates the system at its scale.

read1 min views1 publishedOct 12, 2026

At Meta, we’ve built a system that enhances ads recommendations by leveraging idle inference capacity in our fleet. Two elasticity levers in the system allow ads recommendation work to expand across opportunistic capacity, without compromising baseline performance. This post describes how we designed and now operate the system at Meta’s scale and how it drives [...]

The post Turning Opportunistic AI Inference Capacity Into Better Ads Recommendations appeared first on Engineering at Meta.

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