Key Takeaway:
- Intel 14A Partnership: Tesla and SpaceX will use Intel’s upcoming 14A process (roughly 1.4nm equivalent), positioning Intel as a critical foundry partner for Musk’s AI ambitions.
- Scale and Cost: The project aims for one terawatt of computing capacity, double the current U.S. output, with a staggering estimated price tag between $5 trillion and $13 trillion.
- Vertical Integration: Beyond vehicles, the “Terafab” will produce chips for Optimus robots, SpaceX satellites, and xAI data centers, reducing reliance on TSMC and Nvidia.
Elon Musk said Tesla, SpaceX, and xAI plan a Texas “Terafab” chip complex using Intel’s 14A process to meet soaring AI demand for cars, robots, and space data centers.
Musk Details Terafab Vision and Intel Partnership
Musk said the companies will build two advanced chip factories at a sprawling site in Austin. One facility will produce chips for Tesla vehicles and Optimus humanoid robots, while another will support AI data centers, including those in space.
Intel will join the project, announced in April, providing manufacturing expertise and its next-generation 14A process. The partnership could mark Intel’s first major customer for the technology as it seeks to expand its contract chipmaking business.
“We either build the Terafab, or we don’t have the chips,” Musk said during a March presentation in Austin, underscoring concerns about future supply constraints.
Musk thanked existing suppliers, including Samsung, TSMC, and Micron, but said demand from his companies would eventually exceed current global chip production.
Early-Stage Plans Include $3 Billion Research Facility
In the near term, Tesla plans to construct a research fabrication facility at its Giga Texas campus. Musk said the initial phase will cost about $3 billion and produce a few thousand wafers per month.
“It’s really intended to try out ideas,” Musk said on Tesla’s earnings call Wednesday, adding that deployment details are still being finalized.
He said Tesla will lead the research fab, while SpaceX will handle early large-scale development. “Then we’ve got to figure out the rest,” Musk said.
The companies have begun outreach to equipment suppliers, including Applied Materials, Tokyo Electron, and Lam Research, seeking pricing and delivery timelines for tools such as photomasks, etchers, and testing systems.
Massive Scale, Costs, and Unanswered Questions Remain
Elon Musk said the Terafab AI Chip could eventually generate one terawatt of computing capacity annually, roughly double the current U.S. output. Analysts at Bernstein estimate that building that capacity could cost between $5 trillion and $13 trillion.
SpaceX is also planning to develop its own graphics processing units, or GPUs, key components for training AI systems, according to a Reuters report.
Despite the ambitious scope, key questions remain unresolved, including who will finance the full buildout, who will operate the facilities, and when production will begin.
Musk has a history of announcing large-scale projects that face delays or changes. He said Intel’s 14A process should be “ready for prime time” by the time Terafab AI Chip reaches scale, calling it “the right move.”
The project reflects rising competition for advanced chips as companies race to expand Terafab AI Chip capabilities across industries, from transportation to robotics and space infrastructure.
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