Samsung's Taylor Fab to Build Tesla AI5 on 2nm
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- Samsung has completed its version of Tesla's AI5 chip and is preparing production at the Taylor, Texas foundry on its latest 2nm process, according to principal engineer James Kim, who disclosed the tape-out on LinkedIn before deleting the post.
- Tesla had AI5 taped out to both Samsung and TSMC, with Musk saying in April the two foundries produce "slightly different versions" because they translate designs to physical form differently; Musk previously showed a Samsung-made prototype on X marked "KR 2613," indicating Korea production in week 13 of 2026.
- The decision to put AI5 on 2nm breaks the working industry assumption that Samsung's 2nm line was tied to the follow-on AI6 chip, and supports market views that Samsung's 2nm yield has crossed the roughly 60% threshold where the process becomes viable for a high-volume customer like Tesla.
- Samsung's 2nm yield issues had already pushed AI6 roughly six months late, with that chip's mass production now expected no earlier than Q4 2027; Samsung held an equipment installation ceremony at Taylor in April and expects volume production of Tesla's AI chips there in the second half of 2027.
- Tesla needs "several hundred thousand completed AI5 boards line side" before it can switch vehicle production over — a milestone not expected until mid-2027 — meaning AI5 is arriving nearly two years after Musk first said it would be in vehicles while the Cybercab launches on older AI4 hardware.
- Landing Tesla's AI5 on 2nm gives Samsung the proof point its multibillion-dollar Taylor bet needed after years of trailing TSMC on advanced-node yield, and recent reports suggest Anthropic could also manufacture AI chips through Samsung Foundry.
Why it matters: Samsung's 2nm yield has been its gating problem — AI6 already slipped roughly six months on yield issues, pushing its mass production to Q4 2027 at earliest. Putting AI5 on the same node implies yields may have crossed the 60% viability threshold, positioning Taylor as a real second source to TSMC for leading-edge customers like Tesla and potentially Anthropic.
