This blog post discusses the introduction of a GPU-serving two-tower model for Pinterest's ads lightweight ranking, highlighting improvements in model architecture from the previous MTMD model to the new MMOE-DCN design. The post outlines optimizations made to enhance GPU training efficiency and evaluates the effects on both offline and online ad engagement metrics, demonstrating significant improvements in click-through rates and reductions in cost-per-click.