Terafab Acceleration: Musk claims suppliers are fast-tracking chip plant equipment
Tesla and SpaceX leaders state that key semiconductor vendors are moving up delivery dates to meet a 2028 production target for the massive Texas facility.
By Imani Brooks ·

The semiconductor industry is currently operating under tight capacity constraints, making any acceleration of supply chains a significant logistical event.
During a live broadcast of the Q3 2026 earnings call on X on October 20, Elon Musk announced that critical equipment providers, including ASML, have agreed to expedite shipments for Terafab. This joint venture between Tesla and SpaceX is a multi-billion-dollar, vertically integrated chip factory located in Gibbons Creek, Texas. The primary goal of the facility is to manufacture one terawatt (TW) of AI computing power annually, a scale that would place the single building’s commercial output within the top 20 global country GDPs. For perspective, the 20th-ranked economy is Switzerland, with a GDP of approximately $1.14 trillion.
Musk indicated that the project is targeting volume chip production by the third or fourth quarter of 2028. He described this timeline as "highly aspirational" and noted that it carries "big error bars." The company plans to produce its first experimental test chip at a separate research fabrication facility in Austin, Texas, around the second quarter of 2027. Musk expressed appreciation to ASML and other suppliers for accelerating equipment deliveries to support these aggressive dates.
The technical core of Terafab relies on Intel’s 14A manufacturing node technology, which utilizes traditional extreme ultraviolet (EUV) lithography. Intel officially joined the venture in April 2026 to co-develop and refactor silicon fabrication technology. ASML, the world’s sole commercial supplier of the necessary $400 million EUV lithography systems, is considered the most critical partner in this ecosystem. While unofficial sources had previously suggested the first EUV tool might arrive in mid-2027, it remains unclear if this is the specific timeline referenced in Musk’s recent statements about expedited deliveries.
Beyond the lithography leaders, the project has secured partnerships with major American equipment manufacturers including Applied Materials, Lam Research, and KLA Corporation, alongside Japan’s Tokyo Electron. These firms will supply front-end processing, metrology, and process control machinery. Additionally, Tesla and SpaceX are in discussions with approximately 10 South Korean equipment makers. Notable participants in these talks include Hanmi Semiconductor, known for advanced packaging, and HPSP, a manufacturer of high-pressure hydrogen annealing equipment, along with firms providing specialized piping and process valves.
The chips produced at Terafab are intended to supply Musk’s various AI initiatives, including xAI clusters, self-driving vehicles, Optimus humanoid robots, and SpaceX’s orbital AI data center. To achieve a milestone of 13 gigawatts (GW) of AI compute by the end of 2027, SpaceX and xAI are aggressively procuring next-generation NVIDIA architecture. Specifically, plans are in place to bring a 440,000-GPU Nvidia "Vera Rubin" training cluster online by the end of the second quarter of 2027.
Musk expects his AI companies to have 2.5 to 3 GW of computing capacity active by the end of 2026. He stated he is highly confident about adding an incremental 10 GW in 2027, adding that he "would be surprised" if they do not hit the 13 GW total. For comparison, the restructured 10 GW Project Stargate is expected to reach full capacity in the 2030s, as is Meta’s 5 GW Hyperion project.
Despite the ambitious scope, experts have questioned the feasibility of the 1 TW output goal. Gartner estimates that total global AI-optimized data center capacity is roughly 44 GW as of late 2026, which represents only 4.4% of Terafab’s planned annual output. Although EpochAI notes that global AI computing capacity has grown at a rate of roughly 3.3x to 3.4x per year since 2022, the sheer scale of Terafab remains a point of discussion within the industry. The facility aims to mitigate future shortfalls of cutting-edge AI processors from external foundries like TSMC.
Source: Tom's Hardware


