Semiconductor Expansion: Musk Claims Accelerated Shipments for Terafab Project
The Tesla and SpaceX joint venture aims to produce volume chips by late 2028, a target the CEO describes as highly aspirational despite promises of expedited equipment delivery.
By Jasmine Coleman ·

The tension surrounding the ambitious Terafab semiconductor megaproject intensified on October 20, when Elon Musk announced that key equipment suppliers are fast-tracking deliveries to meet an aggressive manufacturing schedule. Speaking during a live broadcast of SpaceX’s third-quarter 2026 earnings call on X, the CEO of both Tesla and SpaceX stated that the facility targets volume chip production by the third or fourth quarter of 2028. While the timeline is described as highly aspirational, Musk emphasized that the project is moving forward with significant industry support to achieve these goals.
Musk specifically cited ASML and other critical suppliers as accelerating equipment deliveries to support the project’s primary facility in Gibbons Creek, Texas. He expressed appreciation for these efforts, noting that the dates are very aggressive. The immediate milestone for the joint venture is the manufacture of a first experimental test chip at a research fabrication facility in Austin, Texas, which is planned for the second quarter of 2027.
The Terafab project is a vertically integrated, multi-billion-dollar chip factory designed to manufacture 1 terawatt of AI computing power per year. The facility will handle logic, memory, and advanced packaging within a single location. To achieve this scale, the project utilizes traditional extreme ultraviolet lithography systems based on Intel’s 14A manufacturing node technology. Intel officially joined the venture in April 2026 to help co-develop and refactor silicon fabrication technology, providing access to its 14A process.
ASML, the world’s sole commercial supplier of the $400 million EUV lithography systems required for leading-edge production, is considered the most critical partner. Unofficial sources indicated that the first EUV tool was slated for delivery in mid-2027, though it remains unclear if this aligns with the expedited timeline referenced by Musk. Other major contributors include American equipment manufacturers Applied Materials, Lam Research, and KLA Corporation, along with Japan’s Tokyo Electron, which are providing front-end processing, metrology, and process control machinery.
The supply chain for Terafab also involves negotiations with approximately 10 South Korean equipment makers. These partners include Hanmi Semiconductor, known for advanced packaging, and HPSP, a manufacturer of high-pressure hydrogen annealing equipment, as well as firms specializing in piping components and process valves. This broad coalition of suppliers is essential to the project’s goal of mitigating future shortfalls of cutting-edge AI processors from external foundries like TSMC.
Beyond chip fabrication, Musk outlined near-term ambitions for his AI companies, expecting 2.5 to 3 gigawatts of computing capacity to be active by the end of 2026. He expressed high confidence in bringing an additional 10 gigawatts online in 2027, suggesting a total of 13 gigawatts of AI compute by the end of that year. To support this, SpaceX and xAI are procuring next-generation NVIDIA architecture, with plans to bring a 440,000-GPU Nvidia Vera Rubin training cluster online by the end of the second quarter of 2027.
Musk claimed that once fully operational, the commercial value of Terafab’s output would place it within the top 20 global country GDPs, comparable to Switzerland’s roughly $1.14 trillion economy. However, experts have questioned the validity of the 1 terawatt ambition. Research firm Gartner estimates total global AI-optimized data center capacity at roughly 44 gigawatts as of late 2026, which is only 4.4% of Terafab’s planned output. Despite these challenges, the facility is intended to supply chips for xAI clusters, self-driving vehicles, Optimus humanoid robots, and SpaceX’s orbital AI data center.
Source: Tom's Hardware


