Core Insights - The integration of artificial intelligence with the real economy is accelerating, with computing power being a crucial component of new productive forces, driving industrial upgrades [1][6] - Domestic companies are adopting a dual-track development model of "open collaboration" and "full-stack ecosystem" to break single technology dependencies and build a diverse technology-driven ecosystem [1][7] Group 1: Technological Breakthroughs - The Chinese government's 20th Central Committee has set a clear direction for domestic computing power development, emphasizing the need for innovation in AI and digital technologies [1] - At the Changsha World Computing Conference, the scaleX640 supernode showcased by Inspur demonstrated significant advancements in computing power, achieving a 30%-40% performance improvement for trillion-parameter model training compared to traditional solutions [3][6] Group 2: Market Demand and Growth - The global demand for computing power is surging, with the AI computing power market expected to reach 141.98 billion yuan in 2024 and nearly 1.344 trillion yuan by 2031, reflecting a compound annual growth rate of 37.3% [6] - Traditional computing architectures face challenges such as insufficient computing power, slow data transmission, high energy costs, and instability, which are significant barriers to digital transformation for many companies [6] Group 3: Industry Strategies - Leading domestic companies are exploring differentiated paths to address the growing computing power demand and systemic technological bottlenecks, with Inspur's open architecture and Huawei's full-stack solution representing two distinct approaches [7] - The collaboration between Inspur and over 20 upstream and downstream companies aims to establish an open and inclusive AI computing industry ecosystem, highlighting the trend towards diversified technological routes in the market [7]
国产算力双轨并进:以“开放协同”与“全栈生态”定义标准新征程