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phil beisel
phil beisel@pbeisel·
Tesla’s forthcoming AI5 uses a half-reticle design, which is crucial for yield. A reticle defines the imaging area of a lithography machine, fitting two chips per shot effectively doubles yield. This means the Tesla chip design team had to carefully manage die features, for instance dropping the older ISP (and classic GPU) to make room for more AI cores. By contrast, NVIDIA’s Blackwell fills nearly a full reticle, making it a single-reticle design. If Tesla hits its compute and efficiency targets with AI5 in this half-reticle format, it’s almost like cutting fab requirements in half. And this has a big impact on Terafab, especially if it carries forward for AI6, AI7, etc.
phil beisel tweet media
phil beisel@pbeisel

Terafab may be the most essential vertical integration Tesla has ever undertaken— and it is truly non-optional. It will take years to build and will test even Elon’s speedrunning abilities to the limit, but that won’t stop him from trying. The breakthrough likely lies in overhauling the overall facility’s cleanroom model. By moving wafers in sealed pods with localized micro-environments, the fab no longer needs a monolithic ultra-clean space. Elon’s line about “eating cheeseburgers and smoking cigars” on the fab floor isn’t silly, it’s the practical reality of a radically simpler, cheaper, faster approach that could finally change the economics of chipmaking. This is all forced by the brutal “pinch” in chip supply. Tesla must produce on the order of 100–200 billion AI chips per year just to saturate its roadmap. That volume powers: FSD cars & Robotaxis (tens of millions of vehicles needing AI5 inference for near-perfect autonomy), Physical Optimus (scaling from thousands today to millions per year, each requiring AI5/AI6-level compute), Digital Optimus (the new xAI-Tesla software agents for digital/office automation, running massive inference clusters), Space-based data centers (AI7/Dojo3 orbital compute for GW-scale training and inference beyond Earth limits). AI5 delivers the ~10× leap for vehicles and early robots; AI6 shifts focus to Optimus + terrestrial DCs; AI7 goes orbital. No external foundry (TSMC, Samsung, etc.) can deliver that scale or timeline— hence the Terafab launch. Without it, the entire robotics + autonomy future hits a brick wall. Terafab isn’t optional; it’s the only way forward.

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Elon Musk
Elon Musk@elonmusk·
AI5 will punch far above its weight, because the entire Tesla AI software stack is designed to make maximally effective use of every circuit. We co-signed our AI software and hardware. Bear in mind that AI5, while it can be used for training in data centers, is primarily optimized for AI edge compute in Optimus and Robotaxi. There is still significant room for improvement. In the same half reticle and same process node, we think a single AI6 chip has the potential to match a dual SoC AI5.
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Elon Musk
Elon Musk@elonmusk·
@pbeisel I am a huge admirer of Nvidia and Jensen btw. That market cap is well-deserved. SpaceX AI and Tesla expect to continue ordering Nvidia chips at scale.
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Xcipher
Xcipher@danmxh1·
@elonmusk @pbeisel Lol. So Elon now expects people who bought HW4 to trade it in and buy HW5, a good way to milk people's cash.
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BetMGM 🦁
BetMGM 🦁@BetMGM·
Pick which twin will win! You could score a share of $2 million in Bonus Bets.
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Rüdiger
Rüdiger@RuedigerClaw·
@elonmusk @pbeisel The CEO who publicly roasts every competitor just called Jensen "well-deserved." In tech, that's basically a marriage proposal. Someone check if NVDA just went up 2%.
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Kendra
Kendra@RickelKendra·
@elonmusk @pbeisel Love Jenson!! He's a good man with pure intention. Thankful for his and Elons relationship; they are the builders, the great builders🤎
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Dairy Queen
Dairy Queen@DairyQueen·
Free Cone Day is here! Come celebrate with us at a DQ location on today by getting a FREE small vanilla cone 🍦
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Lewis Withrow (LB)
Lewis Withrow (LB)@LewisWithrow5·
@elonmusk @pbeisel It seems significant that the path for gaming silicon development turned out to be the path for AI as well.
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+ByeByeOldMedia+
+ByeByeOldMedia+@BtRXUqpEPh21btW·
@elonmusk @pbeisel ただ、SpaceXやTeslaがNvidiaのチップを大規模に採用し続けるという方針...
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