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On November 4, 2026, Meta launched the F3 Lightning infrastructure layer, which decouples feature publishing from shared execution on top of F3, enabling each feature to be independently compiled, validated, deployed, and rolled back. According to the Meta Engineering Blog, F3 originally merged all features into a single graph as the publishing unit, so an error in a single definition would block the entire publishing process, while a single request now involves more than 20,000 features. Through four optimizations—stable computation identifiers, a single shared execution plan, cross-feature shared memory buffers, and dense index mapping—F3 Lightning achieves independent per-feature publishing while retaining the efficiency of shared computation; similar features go live about 3.6 times faster than with the original F3, with no increase in infrastructure compute costs. There are currently no further developments.
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Meta F3 Lightning: How to Enable Independent Release of Ad ML Features and Achieve a 3.6x SpeedupDevelopments
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- Source:Meta Engineering Blog
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Nov 4
Meta Engineering BlogFirst-party
Meta F3 Lightning: How to Enable Independent Release of Ad ML Features and Achieve a 3.6x Speedup
Meta introduces F3 Lightning, which builds on F3 by decoupling feature release from shared execution, enabling each feature to be independently compiled, validated, deployed, and rolled back, with similar features going live about 3.6 times faster than with the original F3 and without increasing infrastructure compute costs. F3 originally merged all features into a single graph as the release unit, so an error in a single definition would block the entire release process, while a single request now involves more than 20,000 features. Through four optimizations—stable computation identifiers, a single shared execution plan, cross-feature shared memory buffers, and dense index mapping—F3 Lightning achieves per-feature independent release while preserving the efficiency of shared computation.