Nvidia has disclosed a $21 billion stake in SpaceX, as part of its extensive investments in AI companies and infrastructure, including plans to form a $500 billion consortium to finance customers.
<p>Nvidia has disclosed that it owns nearly 123 million shares in SpaceX, further highlighting the chipmaker’s entangled financial relationships with some of its biggest customers.</p>
<p>The $5.5 trillion company owned SpaceX stock worth nearly $21 billion at the end of June, according to an SEC filing on Friday. Elon Musk’s rocket conglomerate’s shares have fallen sharply since its June initial public offering, meaning Nvidia’s stake would now be worth $17 billion.</p>
<p>The disclosure marks a huge pay-off on Nvidia’s investment in xAI, completed in January, shortly before Musk combined the AI lab with SpaceX.</p><p><a href="https://arstechnica.com/information-technology/2026/08/nvidia-discloses-21b-stake-in-spacex/">Read full article</a></p>
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Nvidia disclosed a $21 billion stake in SpaceX, stemming from its investment in xAI, with SpaceX committing to build its data centers exclusively on Nvidia GPUs. Alphabet and AMD also have notable financial exposures to SpaceX.
Nvidia reported record quarterly revenue of $81.6B, driven by data center sales, and revealed $43B in startup holdings, with significant investments in AI companies like OpenAI and Anthropic.
Nvidia has surpassed $40 billion in equity investments this year to secure the AI supply chain, backing companies like Intel, OpenAI, and IREN, sparking both strategic optimism and bubble concerns.
SpaceX's massive capital spending, including $18.4 billion in the latest quarter, is driving AI-related revenue growth through terrestrial computing infrastructure, AI deals, and plans for orbital data centers, with projected annualized recurring revenue of $100 billion by December.
Nvidia is partnering with six major asset managers to mobilize over $500 billion in third-party capital for AI compute infrastructure, treating GPUs as a new investable asset class. CEO Jensen Huang argues that AI chips are revenue-generating, long-lived assets, marking a shift in how AI infrastructure is funded.