Elon Musk, founder and CEO of Tesla, has outlined plans for Terafab, a large-scale semiconductor project that would bring chip design, fabrication, memory, and packaging into a single facility in Austin, Texas, as his companies face rising demand for AI hardware.
To run AI-heavy satellite networks in the harsh environment of orbit, you need radiation-hardened chips that can operate at temperatures that would fry a standard processor. Terafab is designed to build both.
The first set of chips from TeraFab will focus on AI inference, chips designed to run AI models quickly and efficiently. These chips will power Tesla’s self-driving cars, robotaxi fleet and the Optimus humanoid robot. ... The chips are expected to be built on a 2nm process, one of the most ...
The effort is linked to joint work with **Tesla** and **xAI** on the Terafab complex in Austin, Texas, and comments from **Elon Musk** referenced Intel's `14A` node. The announcement signals deep vertical integration but leaves timelines, process ...
Gigafactory Texas will be the site of at least a portion of that spending. Tesla has said it will begin its so-called Terafab project with a research fab on its campus east of Austin.
Terafab is an advanced AI chip manufacturing complex being developed by SpaceX, xAI, and Tesla in Austin, Texas, targeting GPUs and other AI processors.
Tesla plans to more than double its AI compute capacity in roughly six months. The company is also building a semiconductor research facility, referred to as a “Terafab”, in Austin, Texas, focused on chip design.
Gigafactory Texas will be the site of at least a portion of that spending. Tesla has said it will begin its so-called Terafab project with a research fab on its campus east of Austin.
By Zaheer Kachwala and Stephen ... 14A manufacturing process to make chips at its Terafab project, an advanced AI chip complex Musk has envisioned in Austin.The contract would mark Inte…...
Tesla recruits Taiwan's top chip engineers for its Terafab AI fab, targeting sub-7nm expertise amid TSMC strains. The move eyes vertical integration for robotics and data centers, but fabs demand years and billions.
Tesla Inc. CEO Elon Musk, speaking at the company’s first-quarter 2026 earnings call on Sunday, said that the company plans to use Intel Corp's next-generation 14A manufacturing process for chips at Terafab, the advanced AI chip complex he has envisioned in Austin.
Tesla just picked Intel to make its advanced AI chips at the upcoming Terafab facility in Austin, Texas. Announced by Elon Musk, this move makes Tesla the first big customer for Intel's new 14A chip tech, a major step for both companies.
“By the time Terafab scales up, 14A will probably be fairly mature or ready for prime time,” Musk said. ... Intel also recently bought back a 49% stake in its Ireland chip fab from Apollo Global Management for $14 billion — a sign Tan is betting on the foundry business long-term. CFO David Zinsner told CNBC that advanced packaging — one of Intel’s genuine strengths — could bring in billions per customer.
The project will be jointly operated by Telsa and SpaceX along with the support from his AI company xAI. Speaking at the downtown Austin event, Musk revealed that the facility will start as an “advanced technology fab” capable of producing ...
The ambition follows work by SpaceX, its xAI unit and Tesla to jointly develop the Terafab, an advanced AI chip manufacturing complex that CEO Elon Musk is planning in Austin, Texas.
As Elon Musk's Terafab plan comes into clearer view, Tesla and SpaceX are stepping up efforts to secure semiconductor talent. Job postings include roles in California and Texas and specify demanding support requirements, with base pay ranging from $88,000 to $338,280 for some positions.
To own Applied Materials, you need to believe its materials engineering strength will keep it central to AI focused chip manufacturing, even as export controls and spending swings remain key threats. The new 2 nm Gate All Around deposition tools and potential Terafab demand interest reinforce the near term catalyst of AI driven wafer equipment spending, but they do not remove the biggest risk around China related restrictions and customer concentration.