自主可控算力赋能能源行业智能化升级

Core Insights - The global energy industry is undergoing a critical transition from digitalization to intelligence, emphasizing the importance of a self-controlled, multi-layered, and highly available computing architecture for national energy security and industrial transformation [1][2] Group 1: Company Overview - Haiguang Information is a leading domestic chip design company showcasing its CPU+DCU full-stack computing system and collaborative innovations with state-owned energy enterprises at the Global Energy Transition Conference [1] - The company has established a comprehensive computing support system covering data centers, regional centers, and edge nodes to assist energy enterprises from core business to on-site applications [1] Group 2: Technological Advancements - Haiguang's DCU features strong parallel computing capabilities and full precision support, effectively supporting the training and inference of large models with hundreds of billions of parameters, addressing the rapid growth in intelligent computing demands within the energy sector [1] - The collaborative computing architecture of CPU+DCU is being utilized to build a new generation of intelligent computing platforms for the energy industry's smart upgrade [1] Group 3: Industry Applications - Haiguang's computing solutions have been widely applied in key sectors such as oil and gas and electricity, with a self-controlled cloud platform based on Haiguang chips recognized for its system stability and security [2] - In the oil and gas sector, the CPU+DCU architecture supports AI scenarios in exploration and refining, while the "Three Clouds" platform based on Haiguang chips significantly enhances energy efficiency [2] - In the electricity sector, Haiguang's computing capabilities support intelligent inspections and load forecasting, improving real-time perception and scheduling levels for multiple state-owned enterprises [2] Group 4: Future Directions - Haiguang aims to continue deep collaboration with the energy industry to create a safe, efficient, and green intelligent energy computing foundation, contributing to the construction of a modern energy system [2]