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Elon has locked capacity across every major advanced foundry on Earth. TSMC. Samsung on 2nm in Texas. Intel via Tera Fab. This isn’t allocation hunting. It’s building sovereign AI chip infrastructure as Taiwan risks mount. Triple redundancy where the rest of the industry has none. The supply chain moat...

34,886 次观看 • 4 个月前 •via X (Twitter)

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Many still don’t understand why Elon is building Terafab Terafab is an extension to all the chip makers in the world It’s not about replacement, not a rivalry and absolutely not competing It’s being built to fulfill the massive chip orders that Tesla, SpaceX and xAI actually need TSMC’s most advanced 2nm capacity is totally booked through 2028 Tesla signed a massive $16.5 billion deal with Samsung back in July 2025 to produce AI6 chips at their Taylor, Texas factory and Samsung is building a Tesla Exclusive chip manufacturing plant to full fill this orders When Elon announced Terafab on March 21, 2026...he made it clear: “That rate is much less than we’d like. We either build the Terafab or we don’t have the chips, and we need the chips, so we build the Terafab” He basically told the chip makers: “Produce as much as you comfortably can. We will take them all. Actually we want even more” Even today Elon said: "SpaceX/Tesla will be always be major customers of TSMC and not competitors in the normal sense of the word" Current production rates are much less than they need....That’s why Terafab exists Terafab is an extension to every chip maker… not competition, not rivalry, absolutely not Even Intel has joined as a partner Even if chip supply improves, massive bottlenecks still exist with memory and advanced packaging You simply can't risk those supply chain breaks at this scale That’s why Terafab is being built to vertically integrate everything - chips, memory, advanced packaging all under one roof, targeting 1 terawatt of AI compute capacity per year This is a ludicrous amount of chips that no chipmaker currently produces at this scale. I don't think even TSMC and Samsung truly understand these numbers yet It’s about building the capacity the future actually demands

X Freeze

53,291 次观看 • 4 个月前

Elon Musk just told the world his plan to own the one thing every AI on Earth depends on. The silicon. The entire AI industry is fighting over the same layer. Models. Parameters. Data. Benchmarks. All of it runs on chips none of them produce. Every frontier lab on the planet is building intelligence on a foundation they do not control, in a country they cannot influence, on an island they could not defend. Musk: “You design a chip, you fabricate the chip, you test the chip, you redesign the chip, and you fabricate it again. All under one roof.” That’s the Terafab. One building in Austin, Texas. No wafers shipped across the Pacific. No six-month tape-out cycles. No single point of geopolitical failure sitting in the Taiwan Strait. Total vertical sovereignty over silicon. But sovereignty is not the endgame. Sovereignty is what makes the endgame possible. Speed. Every fab on Earth optimizes for yield. For cost. For predictable output at massive scale. The Terafab optimizes for one variable only. Learning speed. That distinction will define the next era of compute. When your iteration cycle compresses from months to days, perfection on the first attempt becomes irrelevant. What matters is how fast you reach the fiftieth. That is the exact principle that made SpaceX untouchable. They did not build a superior rocket on the first try. They built a system where failure was cheap and iteration was relentless. And that system produced something no one else could match. Now transplant that into semiconductors. Musk: “New physics. Wild and crazy things.” He is not trying to out-manufacture TSMC. He is trying to make TSMC’s entire model a relic of a slower era. TSMC cannot take radical bets on unproven architecture. Their customers demand predictability. Their margins demand stability. Their entire empire is built on perfecting what already works. Elon’s model is built on trying what has never worked. Repeatedly. At near-zero cost. Until it does. When the cost of failure approaches zero, breakthroughs stop being accidents. They become mathematically inevitable. Now add the layer that makes this permanent. xAI builds frontier AI. That AI assists in chip design. Better chips accelerate the AI. Faster AI designs better chips. That is not a production line. That is a compounding feedback loop with no external dependency. And nobody else on Earth can run it. Intel has fabs but no frontier AI. NVIDIA designs but does not fabricate. TSMC fabricates but does not design. Google designs but outsources production. Every one of them has a structural gap they cannot close. Elon is closing his. The AI that architects the chip. The fab that forges it. The vehicles and robots that run on it. The data they generate. The AI that trains on that data to design the next generation. Full circle. No seams. No permission required from any government, company, or supply chain on Earth. That is not a factory. That is a self-improving system with a physical body. A structure that manufactures upgrades to its own capacity to think. That has never existed before. Not as a concept. Not as a metaphor. As a building. Every era of human civilization was defined by whoever mastered its most critical substrate. Land built empires. Iron built armies. Oil built superpowers. The next substrate is compute. And a single facility in Austin is being designed to produce it in a closed loop that no competitor can replicate, no government can embargo, and no market force can interrupt. That is not a factory announcement. That is the foundation of the first self-reinforcing intelligence monopoly in the history of this species. And the loop only needs to start once.

Dustin

47,567 次观看 • 1 个月前

Japan just bet $16 BILLION on a chip startup that has never shipped a single chip to a paying customer. It's the biggest Hail Mary in modern tech history. But the real problem is about what happens IF it works... On April 11th, Japan approved another $4 billion in subsidies for a company called Rapidus. Total government investment: $16.3 billion. Here's what Rapidus is: Founded in 2022. 4 years old. Zero commercial chips shipped. Zero proven yields. No IPO planned until 2031. Their stated goal: Produce 2-nanometer chips by 2027 at a facility in Hokkaido. For context, 2nm is the absolute bleeding edge of semiconductor manufacturing. Only one company on Earth can do it today: TSMC. TSMC alone is spending $50 BILLION in capital expenditure THIS year. Rapidus has $16 billion TOTAL. To catch up to a company that's been at this for 40 years. In 18 months. Now look at the global picture: United States: CHIPS Act. $280 billion in subsidies. Musk's Terafab project just announced. Bernstein estimates the REAL cost to hit Terafab's stated targets is $5 TRILLION. Europe: €43 billion. China: Entire state apparatus behind SMIC and Huawei. DeepSeek V4 launching on 100% Chinese silicon this month. Japan: $16.3 billion on Rapidus. South Korea: Samsung spending tens of billions to reclaim the 2nm lead. Every major economy on Earth is now treating chip manufacturing as a national security priority. And every single one is building the same thing: Domestic 2nm capacity for AI. But nobody is asking the obvious question... What happens when ALL of them succeed? Right now, Nvidia buys every wafer TSMC can make. "Insatiable demand." Now imagine 2028. TSMC still at full capacity. Samsung has caught up. Intel's 18A is shipping. Rapidus is live. Terafab is online. China's SMIC producing 3nm at scale. Supply has tripled. Has AI demand tripled? Probably not. Model efficiency is improving faster than compute demand. Google's TurboQuant cut memory requirements by 6X with no accuracy loss. DeepSeek proved you can train frontier models for a fraction of the cost. Smaller models are eating bigger ones. The current AI chip shortage isn't permanent. It's a temporary demand spike colliding with a slow supply chain. And governments are now committing hundreds of billions of dollars to solve a problem that might not exist by the time their factories come online. This is how every semiconductor glut in history has started: Governments panic about a shortage. Throw money at capacity. The capacity comes online. Everybody discovers at the same time that demand wasn't what they thought. In 1996, memory prices collapsed 80% when Korean fabs came online. In 2001, the sector lost $300 billion in value. The difference in 2026 is that the bets are bigger than any private company has ever been willing to make. Every one of these bets is the same political statement: We refuse to be dependent on Taiwan. Every government on Earth is making it with taxpayer money. And none of them are coordinating. In 1984, Japan did this exact thing with memory chips. Flooded the market. The entire US memory industry collapsed within 3 years. Then 15 years later, Korea did the same thing to Japan. Then 15 years later, China did it to Korea. The cycle isn't new. What's new is the SCALE. And the fact that nobody wants to be the country that admits the shortage might be temporary. So the money keeps flowing. The fabs keep getting built. And somewhere around 2028, the same analysts currently calling AI chips "insatiable" will start writing articles about the great semiconductor glut of the late 2020s. The question isn't whether Rapidus succeeds. The question is whether ANY of these bets can succeed at the same time. They can't. One of these countries is going to end up holding the bag. Japan is betting $16 billion that it won't be them. What do you think?

Ricardo

35,151 次观看 • 4 个月前

WHAT IF CHINA INVADES TAIWAN + Strait of Hormuz STAYS CLOSED🛑 Nobody is connecting these dots yet Taiwan makes 90% of the world's most advanced chips. TSMC manufactures for EVERY major tech company on the planet. If those fabs go dark, this isn't a dip. This is a STRUCTURAL COLLAPSE. Stocks that get DESTROYED 👇 Semiconductors. $TSM, $NVDA, $AMD, $AAPL, $QCOM, $AVGO, $ASML. Every single one depends on TSMC to make their chips. There is NO backup. Nvidia can't make GPUs. Apple can't make iPhones. AMD can't make processors. Full stop. The AI boom DIES overnight. $MSFT, $AMZN, $GOOG, $META. Every data center buildout, every model training run, every hyperscaler capex plan depends on chips that ONLY TSMC can produce at scale. Their entire growth thesis is GONE. Consumer and shipping. $DELL, $HPQ, Sony all lose their chip supply. The Taiwan Strait carries 50% of global container shipping. $ZIM, $FDX, $UPS all get crushed by the blockade. NOW here's where it gets interesting Stocks that BENEFIT 👇 Defense. $LMT, $RTX, $NOC, $GD, $LHX, $PLTR. Spending goes VERTICAL overnight. Domestic chips. $INTC becomes the most important company in America as the ONLY Western advanced fab. $GFS, $AMAT, $LRCX, $KLAC all surge as we scramble to build domestic capacity. Safe havens. $XOM, $CVX on the oil spike. $GLD, $SLV on the flight to safety. $AA on the aluminum supply chain chaos. THE PART NOBODY IS TALKING ABOUT Taiwan doesn't just make chips for tech. They produce 35% of ALL chips globally. Cars. Medical devices. Military equipment. Appliances. A Taiwan invasion doesn't crash the stock market. It crashes the GLOBAL ECONOMY. This is not a prediction. But if you're not thinking about this risk while the Strait of Hormuz is ALREADY shut down and semiconductors are ALREADY under pressure from helium shortages, you're not paying attention.

JEFE TRADES 🔪

222,056 次观看 • 5 个月前

Jensen Huang just said the semiconductor industry needs to grow 5-10x over the next decade and he named the exact bottlenecks investors should be watching (Save this). His argument is that this isn't a normal cyclical boom that will bust like past chip cycles because it's driven by a structural shift, the world needs a whole new intelligence layer of infrastructure on top of energy, internet, and roads and that layer runs entirely on chips. Using WSTS's 2026 industry estimate of $1.5 trillion, a 5-10x expansion would put the semiconductor industry at roughly $7.5 trillion to $15 trillion within ten years. He specifically called out five areas that are already in shortage, memory, storage, optical interconnects, packaging, and TSMC foundry capacity, and said the whole industry is short because this is infrastructure demand, not seasonal demand. Here's who stands to benefit in each of those five bottlenecks he named. Memory and storage is the most direct beneficiary, since Micron is the only major US based DRAM and NAND producer and has been reporting surging prices tied to AI server demand while SK Hynix and Samsung, both foreign, dominate the high bandwidth memory that feeds directly into GPUs like Nvidia's. Optical interconnects benefits companies like Coherent and Lumentum which make the optical transceivers moving data between GPU clusters, alongside Credo Technology, which makes high speed interconnect chips for the same data movement problem inside AI clusters. Packaging is where Nvidia's own chips get bottlenecked, since advanced packaging capacity mostly sits with TSMC, but Amkor Technology and ASE Technology are the independent outsourced packaging players that pick up overflow demand when TSMC can't keep up. Chip equipment makers that supply the tools needed to actually build more capacity across all these bottlenecks also benefit, including ASML for lithography, and Lam Research, KLA Corporation and Applied Materials for etching, deposition, and inspection equipment, since a 5-10x industry expansion requires massive new fab buildout that all runs through these companies first. Milk Road Pro is tracking the entire supply chain bottlenecks, if you want our entire AI trades around this, you can come join us just for a dollar.

Milk Road AI

29,530 次观看 • 1 个月前