Samsung's 2nm process lands Tesla AI5 chip at Texas fab, marking foundry breakthrough

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Samsung has completed the Tesla AI5 chip design and will manufacture it at its Taylor, Texas facility using its latest 2-nanometer process technology. The development suggests Samsung's 2nm yields have exceeded 60%, a critical threshold that could help the company compete with TSMC and attract more advanced AI chip customers.

Samsung Taylor Fab Begins Tesla AI5 Chip Production on Advanced Node

Samsung Electronics has reached a significant milestone in its foundry ambitions, confirming that the Tesla AI5 chip will enter production at the Samsung Taylor fab in Texas using the company's latest Samsung 2nm process. James Kim, a principal engineer at Samsung Foundry, revealed on LinkedIn that the Tesla-Samsung AI5 chip has reached chip tape-out and is "scheduled to be manufactured at the Taylor fab using our latest 2-nanometer process and will soon be integrated into Tesla's newest products."

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Kim deleted the post after Korean media picked up the announcement, but the disclosure marks a pivotal moment for Samsung's advanced manufacturing capabilities.

Chip tape-out represents the stage where a chip's design is finalized and handed over for manufacturing. From this point, the design undergoes pre-validation, photomask production, and wafer fabrication to create engineering samples, which must pass customer qualification before entering mass production.

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Elon Musk announced in April that Tesla had taped out AI5 to both Samsung and TSMC, with each foundry producing "slightly different versions" of the chip because they translate designs to physical form differently.

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Source: Korea Times

Source: Korea Times

2-Nanometer Process Technology Signals Yield Breakthrough

The most significant revelation is that Tesla's AI5 self-driving chip will be manufactured on 2-nanometer process technology at Samsung's Taylor, Texas, foundry. Industry observers had expected Samsung's 2nm node to debut with Tesla's next-generation AI6 chip, not AI5. This shift indicates that Samsung's yield performance on its advanced node has crossed the critical 60% threshold, making it viable for high-volume production with demanding customers like Tesla.

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Yield issues have plagued Samsung's 2nm development for months. Earlier reports indicated that Tesla's AI6 chip had already slipped approximately six months due to Samsung 2nm yield problems, pushing its mass production to Q4 2027 at the earliest.

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The decision to manufacture AI5 on this advanced node suggests Samsung has overcome these technical hurdles, providing a much-needed proof point for the company's foundry business as it competes against TSMC's dominance in advanced-node manufacturing.

AI5 Performance Specifications and Timeline

The Tesla AI5 chip represents a substantial leap in next-generation Full Self-Driving solutions. Elon Musk has stated that AI5 will deliver a monumental 40x improvement over the HW4 chip, with 8x raw compute capabilities and 9x memory capacity.

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The chip is expected to offer close to 2500 TOPS of AI compute and 144 GB of memory per chip, designed with the latest transformer engine architecture.

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Source: Electrek

Source: Electrek

Engineering samples have already emerged from Samsung's Korean facilities. Musk posted an image of a Samsung-made prototype on X carrying the marking "KR 2613," indicating it was manufactured in Korea in the 13th week of 2026, between March 23 and March 29.

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The prototype featured a large primary die handling compute functions and 12 DRAM modules from SK hynix positioned around the perimeter.

Samsung held an equipment installation ceremony at the Taylor fab in April and expects high-volume production of Tesla's AI chips in the second half of 2027.

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However, Musk has indicated Tesla needs "several hundred thousand completed AI5 boards line side" before switching vehicle production over, with that volume not expected until mid-2027.

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Strategic Implications for Samsung's Foundry Business

For Samsung, securing the Tesla AI5 chip on 2nm represents more than a single customer win—it's validation that the company can compete at the leading edge. Samsung has trailed TSMC on advanced-node manufacturing for years, and the multibillion-dollar Taylor facility has been searching for anchor customers to justify the investment. Recent reports suggest Anthropic could manufacture its own AI chips through Samsung Foundry, and improving yields are exactly what would enable Samsung to attract more customers of that caliber.

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Musk has also confirmed that work is underway on the next-generation Tesla AI6 chip and Dojo3 supercomputer. Tesla resumed plans for the Dojo3 project in January 2026, and with TeraFab expected to develop DRAM, packaging, and chips under one roof, the company's in-house chip development ambitions continue to expand.

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Samsung declined to comment on matters related to its customers.

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