Tesla and SpaceX Accelerate Terafab Chip Production for 2028

For residents of the Pacific Northwest and other regions reliant on advanced technology infrastructure, the pace of semiconductor manufacturing is a critical determinant of future device availability and pricing. On October 20, Elon Musk announced during a live broadcast that major equipment suppliers are moving to expedite deliveries for Terafab, a massive joint chip-making venture between Tesla and SpaceX. This acceleration aims to support an aggressive timeline for the facility, which is designed to produce chips for self-driving cars, humanoid robots, and AI data centers.

The primary goal of the project is to achieve volume chip production at the Gibbons Creek facility in Texas by the third or fourth quarter of 2028. Musk described this schedule as highly aspirational, noting that it carries significant uncertainty. He expressed appreciation for the speed at which partners are moving equipment to the site, stating that these are very aggressive dates. The announcement came during SpaceX’s Q3 2026 earnings call, where Musk also outlined broader ambitions for his AI companies.

In the near term, SpaceX plans to manufacture its first experimental test chip at a research fabrication facility in Austin, Texas, around the second quarter of 2027. This step is part of a larger strategy to secure a steady supply of cutting-edge AI processors. Currently, these chips often come from external foundries like TSMC. By building Terafab, the companies hope to mitigate future shortfalls and control the manufacturing process internally.

Musk also provided context on the scale of his AI computing goals, expecting 2.5 to 3 gigawatts of active capacity by the end of 2026. He expressed high confidence in adding another 10 gigawatts in 2027, which would bring the total to 13 gigawatts. To achieve this, SpaceX and xAI are aggressively procuring next-generation NVIDIA architecture, including a plan to bring a 440,000-GPU training cluster online by the end of the second quarter of 2027.

The Terafab project is a vertically integrated factory that will fabricate logic, memory, and advanced packaging in one location. It utilizes Intel’s 14A manufacturing node technology and traditional extreme ultraviolet lithography systems. Intel joined the venture in April 2026 to co-develop silicon fabrication technology. The facility aims to manufacture one terawatt of AI computing power per year, a figure Musk claims would place the commercial value of the output within the top 20 global country GDPs.

ASML is the most critical partner in this chain, as it is the world’s sole commercial supplier of the $400 million EUV lithography systems required for leading-edge production. Unofficial sources indicated that the first EUV tool was slated for delivery in mid-2027, though it remains unclear if this represents the expedited timeline Musk referenced. Other major suppliers include American firms Applied Materials, Lam Research, and KLA Corporation, as well as Japan’s Tokyo Electron, which provide front-end processing and metrology machinery.

The project also involves negotiations with about 10 South Korean equipment makers, including Hanmi Semiconductor and HPSP. These companies supply advanced packaging equipment, high-pressure hydrogen annealing tools, and specialized piping components. The involvement of so many specialized partners underscores the complexity of the supply chain required to build a facility of this magnitude.

Despite the optimism, experts have questioned the validity of the one-terawatt ambition. Research firm Gartner estimates that total global AI-optimized data center capacity is roughly 44 gigawatts as of late 2026. This means Terafab’s planned annual output would be more than 20 times the current global total. While global AI computing capacity has grown significantly since 2022, the scale of Terafab represents a leap that challenges existing industry norms.

The announcement highlights a shift in how major tech companies approach hardware independence. By accelerating equipment shipments, the partners are attempting to compress years of development into a few short years. For consumers in the Pacific Northwest and beyond, the success of this timeline could mean faster access to the AI technologies that are increasingly integrated into daily life.

As the project moves forward, the focus will be on whether the expedited deliveries can hold up under the pressure of such an ambitious schedule. The next milestone to watch is the delivery of the first EUV tool and the production of the experimental test chip in Austin. These early steps will provide the first real-world data on whether the 2028 target is achievable.