Musk lines up chip suppliers, accelerates Terafab AI fab plan

Apple faces chip supply challenges for MacBook Neo, plans diversified configurationsTomorrow's Headlines ... Musk has reportedly tapped US and Japanese chip equipment suppliers to speed up Terafab.

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More broadly, Terafab is positioned as infrastructure for a future economy driven by AI, robotics, and space-based computing. Musk draws parallels to Tesla’s original Gigafactory, arguing that just as battery production enabled mass-market EVs, chip production at this scale is a prerequisite for billions of robots, autonomous systems, and satellite networks.

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The news on AI5 comes as Tesla has its own ambitious plans to fabricate its own chips at its upcoming Terafab facility. Analysts and experts claim the move to create its own “fab” is highly ambitious and likely a massive engineering challenge.

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For instance, last July, Samsung secured an order from Tesla (TSLA) worth $16.4 billion to produce Tesla's AI6 chips using the 2nm process. Currently, other giants are also building their own chip plants to reduce costs. Tesla CEO Elon Musk announced in March the joint launch of Terafab, a 2nm wafer fab in Texas, in collaboration with SpaceX, followed by Intel’s announcement that it would join the project.

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CEO CC Wei emphasized the long-term, capital-intensive nature of the foundry business while addressing competitive projects like Elon Musk's TeraFab. Despite supply chain concerns from Middle East conflicts, CFO Wendell Huang stated TSMC has diversified sourcing and expects minimal short-term ...

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The facility will future-proof supply of AI chips for SpaceX (now integrated with xAI) and Tesla, supporting cutting-edge initiatives including autonomous vehicles, humanoid robots, and space data centers. Terafab aims to bridge the gap between current semiconductor capacity and surging future AI computing demands. Previously, Musk publicly expressed concerns over insufficient chip manufacturing capabilities while acknowledging that wafer fab development involves technical complexity and costs f