Google has struck a massive computing deal with SpaceX as demand for artificial intelligence services continues to surge across the tech industry.
A recent regulatory filing shows that Google will pay SpaceX about $920 million per month for computing capacity. The agreement is expected to start in October and run through June 2029, potentially generating nearly $30 billion for the Elon Musk-led company.
The deal gives Google access to roughly 110,000 NVIDIA AI chips, providing extra computing power for its growing AI business. The company has been working to keep up with rising demand from customers using its cloud and AI services.
Google said the agreement will help support demand for Gemini Enterprise, its AI platform for businesses. The company described the arrangement as a temporary solution to secure additional capacity while customer usage continues to grow.
For SpaceX, the agreement adds another major revenue stream outside its traditional space business. In recent years, Musk has invested heavily in artificial intelligence through xAI, the AI company connected to SpaceX.
The company has built a large AI supercomputer facility in Memphis, Tennessee, and continues to expand its infrastructure. Although xAI remains behind some of the industry’s biggest players, Musk has been pushing aggressively to strengthen its position.
SpaceX has also revealed plans for a major chip manufacturing project in Texas. Earlier this year, the company announced a multibillion-dollar acquisition of AI coding startup Cursor, signaling its broader ambitions in the AI market.
The partnership further deepens the relationship between Google and SpaceX. Google already owns a small stake in the rocket company, and the two firms have explored additional projects together over the years.
One of those projects involves studying the possibility of placing data centers in space, an idea known as Project Suncatcher. While the concept is still being explored, it reflects the industry’s search for new ways to expand computing capacity.
As AI adoption continues to grow, companies are scrambling to secure the hardware needed to train and run increasingly powerful models. The new agreement shows that access to computing infrastructure has become just as important as the AI technology itself.
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