Due to the size, complexity, and rapid change of big data, the need for faster training and data processing, and the growing inability of conventional single-machine training methods to match the demands. Recently, some distributed AI platforms have appeared for machine learning. In this article, we describe the OpenPAI distributed machine learning platform's architecture and examine its capabilities and design. We present a summary of the current issues in distributed machine learning and discuss potential future trends.