DualPipe implements an innovative scheduling strategy for distributed training of large language models, enabling full overlap of computation and communication phases while reducing pipeline bubbles. It provides both a full bidirectional schedule and a more memory-efficient V-shape variant (DualPipeV). The algorithm is designed specifically for training DeepSeek V3 and R1 models across multiple devices.