According to Inside.com.tw and CNYES, Tesla's next-generation AI5 chip has completed tape-out and will be built on Samsung's 2nm process at the Taylor, Texas fab, with production split between Samsung and TSMC as Samsung's non-memory division reported a roughly KRW 600 billion loss in Q2.
Where does the Tesla AI5 chip tape-out stand?
Tesla's next-generation AI chip, the AI5, has officially completed tape-out, according to reports from Inside.com.tw (E1) and CNYES (E2). Both outlets describe tape-out as the point at which the final chip design is handed off to the fab, marking the transition into large-scale production preparation. Neither report specifies an exact tape-out date, but both confirm the milestone has been reached.
What process node and foundry will produce AI5?
The news was disclosed by Kim Jung-kyun, chief engineer at Samsung Foundry, via social media, according to both Inside.com.tw (E3) and CNYES (E4). He confirmed that the AI5 chip will be manufactured using Samsung's 2nm process technology — the first time this node has been applied to a hyperscale commercial order, per the same reporting.
Where will AI5 be manufactured, and on what timeline?
Production will be based at Samsung's fab in Taylor, Texas, according to Inside.com.tw (E5) and CNYES (E6). Both reports state the Taylor facility is expected to begin initial operations by the end of this year and move into full production starting next year. AI5 is described as the fab's first major volume-production project once operational.
How is foundry work split across Tesla's AI5, AI6, and AI6.5 chips?
According to capacity planning cited by both Inside.com.tw (E7) and CNYES (E8), production of the AI5 chip will be shared jointly between Samsung and TSMC. The subsequent AI6 chip is expected to be handled by Samsung, while AI6.5 is planned to be produced exclusively by TSMC.
What is the current state of Samsung's non-memory division?
Samsung Electronics' non-memory division faced a loss of roughly KRW 600 billion in the second quarter of this year, as reported by both Inside.com.tw (E9) and CNYES (E10). Both sources attribute this pressure largely to prolonged strain in the foundry business.
What does the 2nm process mean for Samsung Foundry's profitability?
Industry sources cited by Inside.com.tw (E11) and CNYES (E12) note that yield control on the 2nm process will be the key variable determining whether the foundry business can achieve stable profitability going forward.
Key figures at a glance
Metric
Value
Source
Process node for AI5
2nm
E3/E4
Taylor fab initial operation
End of this year
E5/E6
Taylor fab full production
Next year
E5/E6
Samsung non-memory Q2 loss
~KRW 600 billion
E9/E10
AI5 foundry split
Samsung + TSMC
E7/E8
AI6 foundry assignment
Samsung
E7/E8
AI6.5 foundry assignment
TSMC
E7/E8
What this means
The reporting from Inside.com.tw and CNYES lays out a chain of connected facts: Samsung's 2nm process is being deployed for the first time on a hyperscale order (AI5) at a Taylor fab that is only just coming online, at the same time the non-memory division has posted a roughly KRW 600 billion quarterly loss. Industry sources quoted in both reports frame 2nm yield as the deciding factor for profitability — meaning the commercial outcome of the AI5 tape-out and the Taylor fab's 2026 ramp-up are tied directly to whether that yield issue is resolved. The split of future chips — AI5 shared, AI6 to Samsung, AI6.5 to TSMC — also shows Tesla diversifying its foundry dependence across the two companies rather than committing exclusively to one.
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