全链条构建智算人才生态

Core Insights - The computing power, as a core productivity driver, is leading a new wave of technological revolution and industrial transformation in the digital economy [1] - The emerging field of intelligent computing (智算) plays a crucial role in AI model training and inference, but faces structural imbalances in talent supply and demand due to rapid technological iterations and increasing international restrictions [1] - There is an urgent need to build a talent ecosystem for intelligent computing to support high-quality development and establish a solid talent foundation for the digital economy era [1] Talent Ecosystem Development - The industry requires a comprehensive talent ecosystem covering strategic decision-making, technical breakthroughs, scenario implementation, and capital operations [2] - Market research and analysis talent is essential for strategic decision-making, as significant investments in intelligent computing centers must be informed by accurate industry trend predictions to avoid rapid depreciation of assets [2] - Intelligent computing center design talent is needed to address the high power consumption of GPU servers and ensure flexibility in resource allocation while meeting carbon neutrality goals [2] Operational and Development Talent - IT networking and operations talent must adapt to the complexities of intelligent computing center operations, requiring skills in hardware debugging and algorithm optimization [2] - Scene development talent is necessary to explore and expand application scenarios beyond major internet companies, transforming abstract computing power into industry-specific solutions [3] - Financing and asset capitalization talent is crucial for managing the heavy asset nature and long return cycles of the intelligent computing industry, bridging the gap between demand and financial tools [3]