# Facebook Feature Framework (F3)

Meta added F3 Lightning on top of F3, the framework that authors, compiles and serves the machine-learning features behind ads ranking models, so each feature is compiled, validated, deployed and rolled back independently. Previously the merged graph was both the execution unit and the release unit, so one bad definition blocked every feature, while early per-feature prototypes raised CPU use by dropping shared computation. F3 Lightning rebuilds a shared execution plan at startup, and comparable extraction features now reach production about 3.6x faster than on prior F3 with no increase in infrastructure compute cost.

Meta added F3 Lightning on top of F3, the framework that authors, compiles and serves the machine-learning features behind ads ranking models, so each feature is compiled, validated, deployed and rolled back independently. Previously the merged graph was both the execution unit and the release unit, so one bad definition blocked every feature, while early per-feature prototypes raised CPU use by dropping shared computation. F3 Lightning rebuilds a shared execution plan at startup, and comparable extraction features now reach production about 3.6x faster than on prior F3 with no increase in infrastructure compute cost.