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ASML unveiled an upgrade for the light source in its EUV process that increases power from 600W to 1,000W. This improvement could increase wafer yields by as much as 50% by 2030.

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Bearly AI

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601,293 просмотров • 4 месяцев назад •via X (Twitter)

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$ASML is upgrading EUV source power to 1,000W lifting throughput to ~330 wafers/hour. That’s a path to ~50% more chip output per tool by 2030.
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$ASML is upgrading EUV source power to 1,000W lifting throughput to ~330 wafers/hour. That’s a path to ~50% more chip output per tool by 2030.

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$INTC showed $ASML EUV lithography tools from its new Arizona fab during the Core Ultra Series 3 launch. ASML remains the AI kingmaker
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$INTC showed $ASML EUV lithography tools from its new Arizona fab during the Core Ultra Series 3 launch. ASML remains the AI kingmaker

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Here are 20 companies that will dominate the AI age: 1/ ASML $ASML is revolutionizing the semiconductor industry by enabling chipmakers to produce the world’s most advanced processors with atomic-scale precision. Shrinking transistors to fit more power into smaller chips faces fundamental physical limits. The industry struggled with escalating costs, slower innovation cycles, and diminishing returns from older lithography methods. With $ASML, the process is radically different, its extreme ultraviolet (EUV) lithography machines use cutting-edge optics and physics to etch circuitry at the nanometer scale, enabling faster, more energy-efficient, and more powerful chips. This breakthrough is the backbone of progress in AI, cloud computing, smartphones, and virtually every advanced technology. As AI spreads to all aspects of our economies, an ever-growing number of chips is needed, driving demand for ASML machines and maintenance services.
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Here are 20 companies that will dominate the AI age: 1/ ASML $ASML is revolutionizing the semiconductor industry by enabling chipmakers to produce the world’s most advanced processors with atomic-scale precision. Shrinking transistors to fit more power into smaller chips faces fundamental physical limits. The industry struggled with escalating costs, slower innovation cycles, and diminishing returns from older lithography methods. With $ASML, the process is radically different, its extreme ultraviolet (EUV) lithography machines use cutting-edge optics and physics to etch circuitry at the nanometer scale, enabling faster, more energy-efficient, and more powerful chips. This breakthrough is the backbone of progress in AI, cloud computing, smartphones, and virtually every advanced technology. As AI spreads to all aspects of our economies, an ever-growing number of chips is needed, driving demand for ASML machines and maintenance services.

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$ASML is projecting ~$55B in revenue by 2030 with gross margins approaching 60%. That only works because every advanced chip built by $TSM and designed by $NVDA still has to pass through ASML’s tools. ASML remains the AI kingmaker.
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Here’s why $EUV is a $100 ETF… In order to make the next generation of chips even more intricate… ASML $ASML had to develop a way to generate a type of light that does not naturally occur on Earth’s surface called EUV… Extreme UltraViolet 10 Stocks to benefit from this bottleneck… 1) TSM $TSM 2) ASML $ASML 3) Lam Research $LRCX 4) Corning $GLW 5) Applied Materials $AMAT 6) Ciena $CIEN 7) Lumentum $LITE 8) KLA $KLAC 9) Coherent $COHR 10) MACOM $MTSI
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Here’s why $EUV is a $100 ETF… In order to make the next generation of chips even more intricate… ASML $ASML had to develop a way to generate a type of light that does not naturally occur on Earth’s surface called EUV… Extreme UltraViolet 10 Stocks to benefit from this bottleneck… 1) TSM $TSM 2) ASML $ASML 3) Lam Research $LRCX 4) Corning $GLW 5) Applied Materials $AMAT 6) Ciena $CIEN 7) Lumentum $LITE 8) KLA $KLAC 9) Coherent $COHR 10) MACOM $MTSI

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Insane precision from $ASML in this video. Watch from ~1:30 onward "Fun fact: the movement of the reticle stage and wafer stage are synced, but *light speed has to be taken into account*. The reticle stage needs to move slightly earlier, since it can shift more than 100 nanometers in the time between when a photon leaves the reticle and when it reaches the wafer." Sweet video ASML, keep 'em coming.
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EUV machines are the most complicated tools humans make. Their supply chain has over 10,000 individual suppliers, and any one of them not scaling fast enough can bottleneck the entire AI industry. An EUV tool fires lasers at a tiny tin droplet three times in precise sequence, blasting it hard enough to emit EUV light. That light bounces off 18 multilayer mirrors onto the wafer. Meanwhile, the two platforms inside the machine - one holding the stencil, one holding the chip - are flying back and forth at 9Gs in opposite directions. The successive passes have to land on top of each other to within 3 nanometers. If any part of this is off, yield goes to zero. Take just one component. The mirrors are mostly supplied by Carl Zeiss, who have probably fewer than a thousand people working on them. In turn, Carl Zeiss rely on machines from Switzerland to deposit each of the layers, and use a coating process co-developed with a different German company. None of these companies have woken up. They’re gradually increasing production, but nowhere near the levels necessary for what the labs want by the end of the decade. Dylan Patel predicts production can't scale beyond about 100 EUV machines per year by 2030, no matter how much money gets thrown at the problem. In the medium term this is the key bottleneck on scaling.
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