智东西 编译｜万贵霞 编辑｜云鹏 马斯克随后在X平台上就相关报道作出回应称："我认为我们会从小规模开始，逐步发展壮大。" 根据SpaceX提交给美国联邦通信委员会的文件，这些卫星将通过激光链路实现相互通信，运行高度介于500公里至2000公里之 间，其轨道设计将使卫星几乎能够持续接触太阳，以获取稳定的能源供应。 另据彭博社报道，SpaceX还在评估与马斯克旗下AI公司xAI进行潜在合并的可能性，并计划在今年6月IPO。与此同时，美国联 邦通信委员会也已就相关事项提出要求。 智东西2月2日消息，据美国《财富》杂志今日报道，火箭制造独角兽SpaceX正在向美国联邦通信委员会申请批准，计划将多达 100万颗卫星发射至地球轨道，以在太空中建设数据中心，用于支撑AI的复杂计算。 这一构想被外媒视为埃隆·马斯克（Elon Musk）最新、也是最为宏伟的愿景。 SpaceX向美国联邦通信委员会申请的文件上显示，该公司正在打造一个基于太阳能的卫星网络，以"满足AI驱动的数据需求所带 来的爆炸式增长"。 一、百万颗卫星搭建轨道数据中心，采用太空专属散热与供电模式 SpaceX提交的文件中写道，由100万颗卫星组成的星座将作为轨 ...

Core Insights - The article emphasizes the shift in the AI computing industry from chaotic competition to collaborative ecosystems, as highlighted by the "refusal of internal competition" advocated by the director of the National Advanced Computing Industry Innovation Center, Li Jun [2][3] - This transition is crucial as AI becomes a central battleground in global technological competition, addressing the urgent need for self-controlled computing power ecosystems [2][3] Industry Challenges - AI computing power demand is increasing at an annual rate of over 40%, yet the industry faces severe internal competition characterized by long supply chains and homogenized competition among companies [2][3] - Many companies pursue a "large and comprehensive" approach but struggle to achieve excellence, leading to a distorted bidding environment where "the more one loses, the more likely they are to win" [2][3] Structural Issues - The internal competition stems from structural contradictions in the global computing power landscape, where the urgent need for self-controlled computing power is hindered by incompatibility among different vendors' chips and systems [3] - Small and medium enterprises face barriers to entry in AI projects due to high costs and equipment incompatibility, necessitating a unified interface standard and collaboration mechanisms [3] Proposed Solutions - Li Jun proposed five measures to support partner growth, focusing on collaboration among core enterprises and manufacturers to develop high-end processors and a full-stack product matrix [3][4] - The measures include building joint laboratories, sharing resources, and enhancing market access through regional AI innovation centers, creating a closed-loop ecosystem from technology development to market implementation [3][4] Early Achievements - The HAIC2025 conference showcased over 50 innovative results from the cooperative ecosystem, demonstrating the collaborative innovation capabilities of the open ecosystem [4] - Companies like Yike and Haiguang have successfully explored new markets through deep collaboration, validating the commercial value of division of labor [4] Ecosystem Value - The organization has over 6,000 partners and 28 physical ecosystem adaptation centers, creating a closed-loop industry ecosystem centered on self-control [5] - This ecosystem allows each enterprise to find precise positioning, fostering a positive cycle of core technology breakthroughs and industry scale [5] Strategic Shift - The exploration by the organization represents a reconstruction of the AI computing industry's development model, advocating for resource sharing and collaborative mechanisms to enable domestic computing power to iterate and optimize in real scenarios [6] - The call for a shift from "zero-sum competition" to "positive-sum competition" is essential for building a robust foundation for computing power in the AI industry [6]