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TechCrunch AI · 2026/8/4 21:07:26

SpaceX has bought $329M worth of Tesla Megapacks so far this year
AI 中文解读
马斯克又上演了一出“自家生意自己人接”的戏码:SpaceX今年已砸下3.29亿美元采购特斯拉的巨型电池Megapack,光第二季度就花了2.95亿。这笔钱主要用来给xAI的数据中心建“电力缓冲池”。
简单说,Megapack就像一个超大号充电宝。AI数据中心用电很不规律,训练大模型时功率猛涨,闲着时又骤降。这种忽高忽低的“用电曲线”既容易让电网收费飙升,也可能压垮发电机。而Megapack能在毫秒级响应,瞬间补足GPU需要的额外电力,把波峰削平,既省钱又保证数据中心稳定运行。此前xAI已为数据中心买过4.3亿美元的同款设备,SpaceX还顺手买了1.31亿美元的特斯拉Cybertruck。
对普通人来说,这则新闻的潜台词是:AI算力越来越“吃电”,科技巨头们正在拼命解决供电瓶颈。电池储能技术成熟后,AI服务的稳定性和成本都会改善,将来你用ChatGPT、刷AI搜索时的响应速度和可用性会更有保障。同时,马斯克通过一整套“内部采购链”把SpaceX、特斯拉和xAI绑得更紧了,这种资源互哺的模式,也会加速特斯拉储能业务成为集团新的增长引擎。
SpaceX has ramped up purchases of Tesla Megapack, spending $295 million on the battery storage devices in the second quarter and $329 million so far this year, according to the company’s earnings report released on Tuesday.
The purchase illustrates just how interconnected Elon Musk’s universe of companies are. Musk, who is the CEO and largest shareholder of SpaceX, also runs Tesla. Musk’s artificial intelligence business xAI acquired his social media platform, X, in 2025. Earlier this year, SpaceX gobbled up xAI.
The industrial-scale batteries are likely being deployed at the company’s xAI data centers. Before xAI merged with SpaceX, the AI company bought $430 million worth of Megapacks for its data centers. In the first quarter of this year, xAI had purchased only $34 million worth of the equipment. SpaceX also reported that as of December 2025, it had acquired $131 million worth of Tesla Cybertrucks at manufacturer’s suggested retail price, according to its regulatory filing.
Though xAI has leaned heavily on natural gas to power its data centers — including dozens of unpermitted turbines at a site in Mississippi not far from the Colossus data center project — large batteries like the Megapack are still a critical part of data centers.
In addition to providing substantial backup power that can be tapped in a second or less, batteries can provide extra power to GPUs when they demand it. AI data centers don’t draw power consistently. Rather, their power demand ramps up and down depending on the demands of training AI models and running inference.
Such peaks can incur significant charges from a local utility or overwhelm on-site generators. Batteries help smooth out those peaks, lowering costs while ensuring that the data center can operate consistently.
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