Core Insights - The integration of digital and energy revolutions is driving a significant increase in demand for computing power, with projections indicating an average annual growth rate of around 20% in China's data center electricity consumption from 2024 to 2030, outpacing the overall electricity consumption growth rate [1] Group 1: Industry Developments - The 2025 China International Big Data Industry Expo highlighted discussions on promoting the collaborative development of electricity and carbon computing [1] - The Deputy Director of the National Data Bureau emphasized that electricity supply is a critical factor influencing computing power development, and the scale of computing power directly affects data processing efficiency [1] - The rapid advancement of AI is leading to an explosive growth in computing power demand, necessitating the establishment of a new infrastructure that integrates data, computing, networks, and energy [1] Group 2: Southern Power Grid's Innovations - Southern Power Grid showcased its developed Electric-Carbon-Computing Collaborative Operation System, which is based on power infrastructure and promotes the economic and green flow of computing resources [2] - The system features three core capabilities: real-time monitoring of power consumption, dynamic scheduling to reduce operational costs by over 10%, and nationwide collaboration to connect computing resources with the integrated national computing network [2] - The system aims to break down information barriers between electricity, computing power, and carbon emissions, achieving precise matching and efficient scheduling [2] Group 3: Practical Applications and Future Outlook - The Electric-Carbon-Computing Collaborative Operation System has shown initial success, with a case where a computing task was migrated to a data center, resulting in a 10% reduction in overall computing costs and the consumption of 113.4 kWh of green electricity [3] - The flexibility of computing power scheduling is identified as a crucial foundation for collaborative operations, requiring solutions for application, data, and model coordination [3] - Future expectations include making the use of computing resources as convenient and quantifiable as water and electricity, necessitating the establishment of a precise measurement system for computing power [3]

Core Viewpoint - The launch of China's first electric-carbon computing collaborative operation system aims to optimize the real-time interaction between electricity, computing power, and carbon emissions, contributing to energy saving and carbon reduction in data centers [1][3]. Group 1: System Functionality - The electric-carbon computing collaborative operation system integrates "power grid, computing network, and communication network" to enhance operational efficiency [1]. - The system automatically schedules computing tasks to western regions when cheaper electricity prices are available, and utilizes green energy when renewable energy generation is abundant [1]. Group 2: Industry Impact - By 2030, China's computing power energy consumption is expected to reach 4,800 billion kWh, with carbon emissions exceeding 200 million tons [3]. - A reduction of 0.1 yuan in comprehensive electricity costs for computing power could save the industry 48 billion yuan annually, benefiting end users [3]. - Increasing the use of green electricity by 1% could reduce carbon emissions by approximately 2 million tons per year, equivalent to planting 110 million trees [3].