In many AI scenarios, data and model sharing is essential for supporting communication, interaction, and collaboration among multiple computing centers. This standard specifies the framework and functional requirements for sharing data and models across multiple computing centers. Three use cases are provided for analyzing the standardization requirements and considerations.

This standard specifies the general requirements and framework of data and model sharing across multiple computing centers, including the requirements on functional architecture, interfaces, security, and performance. The target applications and services include Artificial Intelligence Generated Content (AIGC), Large Language Model (LLM), and big data analytics.

This standard addresses new application requirements from the trends of computing centers interconnection, computing and networking convergence, and computing network.