DeepSeek Profile Data is a project focused on performance analysis of deep learning frameworks. It captures performance data of training and inference frameworks through PyTorch Profiler, helping researchers and developers better understand computation and communication overlap strategies and underlying implementation details. This data is crucial for optimizing large-scale distributed training and inference tasks, significantly improving system efficiency and performance. This project is a significant contribution from the DeepSeek team in the field of deep learning infrastructure, aiming to promote the community's exploration of efficient computing strategies.