Abstract: As an integrated, scalable, and environmentally sustainable next-generation computing infrastructure, ultra-large-scale intelligent computing clusters serve as the core strategic foundation enabling deep integration of artificial intelligence technologies across socioeconomic sectors and driving transformative societal changes. Against the backdrop of the comprehensive advancement of the "Artificial Intelligence (AI)+" initiative, cutting-edge AI innovations are continuously injecting robust momentum into China's efforts to establish competitive advantages in the digital era through three key dimensions: Industrial transformation and upgrading, technological breakthroughs, and national security reinforcement. However, practical implementation still faces challenges including structural imbalances in computing power supply, underdeveloped foundational technology ecosystems, shortages of core talent, and lagging long-term operational mechanisms. To address these issues, it is imperative to establish a low-carbon, green, and efficient intelligent computing supply framework; enhance the interoperability and deep integration capabilities of software and hardware; strengthen talent foundations aligned with the full intelligent computing industry chain strategy; and develop a sustainable computing power integration and cross-domain collaboration system. Only through these measures can we achieve optimal allocation of computing resources and sustained innovation efficiency, providing robust computational support for high-quality economic development and technological self-reliance.