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国资落子算力“水电站” 九章云极获投,中国算力竞争向普惠高效转身
3 6 Ke· 2026-01-20 10:46
Core Insights - The most promising financing sectors in 2025 are AI, low-altitude economy, autonomous driving, and embodied intelligence, with AI leading at over 107 billion yuan in investment [1] - The investment in AI is heavily reliant on computing power, which is considered the foundational layer for the industry [2] Group 1: Investment Landscape - In 2025, the cumulative investment in the low-altitude economy is projected to be 22.089 billion yuan, while autonomous driving will exceed 38 billion yuan, and embodied intelligence will surpass 50 billion yuan [1] - The investment in AI is significantly higher, with a total exceeding 107 billion yuan, indicating its dominance in the tech landscape [1] Group 2: State Capital Involvement - The recent investment in the AI computing company, Jizhang Yunjing, by two major state funds in Beijing highlights the involvement of state capital in the AI industry [3][4] - These funds are controlled by the Beijing State-owned Assets Supervision and Administration Commission and focus on developing high-tech industries [4] Group 3: Strategic Importance of Jizhang Yunjing - The investment in Jizhang Yunjing is seen as a strategic move to enhance the AI infrastructure ecosystem, covering everything from foundational computing power to application models [4][6] - Being backed by state capital positions Jizhang Yunjing as a core service provider in AI infrastructure, providing stability and large-scale support [6] Group 4: Innovative Business Model - Jizhang Yunjing's "1-degree computing power" model allows for on-demand payment for computing resources, similar to utility billing, which can significantly reduce costs for AI companies [8][11] - This model addresses the inefficiencies in traditional computing power leasing, where companies often pay for unused resources, thus promoting innovation and accessibility [8][11] Group 5: Future Outlook - The investment is expected to facilitate a shift in the AI industry from a focus on scale to a more equitable and efficient model, making computing power accessible to a broader range of users [12] - Jizhang Yunjing plans to establish a reserve of 100,000 PFLOPS of computing power over the next three years, which will be available for various users rather than being locked in by a few large companies [12]