Business

SpaceX Closes $60 Billion Acquisition of Cursor

SpaceX has finalized its $60 billion acquisition of AI coding startup Cursor, granting the developer platform direct access to one of the world's largest GPU computing infrastructures.

TechCrunch AI16 hrs agoBusiness
Image: TechCrunch AI

Aerospace giant SpaceX has officially completed its acquisition of Cursor, an artificial intelligence startup focused on coding assistance. The finalization of the deal follows an initial agreement established in April, which outlined a collaborative technology partnership and granted SpaceX the option to buy the startup for $60 billion. Two months after that initial agreement, SpaceX transitioned into a public company and confirmed it would proceed with the acquisition. This transaction follows another major AI move by SpaceX earlier this year, when the company acquired Elon Musk's xAI startup.

In a blog post announcing the completion of the merger, Cursor emphasized the massive scale of SpaceX's computing resources. By joining the aerospace firm, the startup stated it will gain "access to the largest fleet of GPUs in the world." Cursor's team noted that SpaceX is actively constructing the computational infrastructure required to push artificial intelligence capabilities far past current limits, positioning the coding platform as a primary interface where this advanced intelligence will be applied.

SpaceX's computing power is already a major commodity in the tech sector, with the company renting out its data center capacity to prominent AI developers including Google and Anthropic. However, this aggressive infrastructure expansion has not been without controversy, as SpaceX currently faces a lawsuit regarding environmental pollution generated by its data center gas turbines. For software engineers and AI practitioners, the acquisition signals a massive resource boost for Cursor's development tools. With direct access to SpaceX's hardware, Cursor can train and run highly sophisticated code-generation models with significantly lower latency and higher throughput, potentially accelerating the deployment of next-generation automated programming assistants.

This is our own summary of reporting by TechCrunch AI

More in Business