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A new startup claims it can make chips at sub-nanometer scales in a single exposure at roughly half the cost. Instead of high-NA EUV lithography, they’re using X-ray lithography. EUV prints features through multiple complex steps. This approach would effectively stamp the pattern in one shot. If it works... show more

Vishakh Ranotra

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172,629 Aufrufe • vor 8 Monaten •via X (Twitter)

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ACCELERATOR-BASED LITHOGRAPHY AND THE INDUCTION STORAGE RING LIGHT SOURCE The future of chipmaking may look less like a factory and more like a power grid. The proposed “Terafab” paradigm reimagines semiconductor manufacturing at utility scale: chip design, wafer fabrication, EUV lithography, memory, advanced packaging, and testing all under one roof, with the ambition of producing more than one terawatt of AI compute capacity per year. Its most radical innovation is treating light as a utility. Today, each EUV scanner relies on its own laser-produced plasma source, firing lasers at molten tin to generate 13.5 nm light. The process is inefficient, intensely hot, debris-heavy, and difficult to scale. Terafab replaces those individual sources with centralized, accelerator-driven free-electron lasers capable of distributing multi-kilowatt EUV light across an entire network of scanners. The advantages could be transformative: • No tin contamination or destructive plasma debris • Higher efficiency through electron-beam energy recovery • Greater photon flux to suppress stochastic defects at sub-3 nm nodes • Redundant accelerators that keep scanners operating during maintenance • Tunable wavelengths, potentially enabling 6.x nm “Beyond EUV” lithography THAT LAST POINT MATTERS ENORMOUSLY Conventional EUV is locked to the atomic emission of tin. Free-electron lasers are not. Their wavelength can be tuned through the energy of the electron beam creating a possible path beyond today’s 13.5 nm limit. If realized, Terafab would represent more than a larger semiconductor plant. It would transform lithography from a collection of isolated tools into shared industrial infrastructure. The next era of chipmaking may not be defined by a better machine. It may be defined by an entirely new architecture for manufacturing intelligence at civilization scale.

ACCELERATOR-BASED LITHOGRAPHY AND THE INDUCTION STORAGE RING LIGHT SOURCE The future of chipmaking may look less like a factory and more like a power grid. The proposed “Terafab” paradigm reimagines semiconductor manufacturing at utility scale: chip design, wafer fabrication, EUV lithography, memory, advanced packaging, and testing all under one roof, with the ambition of producing more than one terawatt of AI compute capacity per year. Its most radical innovation is treating light as a utility. Today, each EUV scanner relies on its own laser-produced plasma source, firing lasers at molten tin to generate 13.5 nm light. The process is inefficient, intensely hot, debris-heavy, and difficult to scale. Terafab replaces those individual sources with centralized, accelerator-driven free-electron lasers capable of distributing multi-kilowatt EUV light across an entire network of scanners. The advantages could be transformative: • No tin contamination or destructive plasma debris • Higher efficiency through electron-beam energy recovery • Greater photon flux to suppress stochastic defects at sub-3 nm nodes • Redundant accelerators that keep scanners operating during maintenance • Tunable wavelengths, potentially enabling 6.x nm “Beyond EUV” lithography THAT LAST POINT MATTERS ENORMOUSLY Conventional EUV is locked to the atomic emission of tin. Free-electron lasers are not. Their wavelength can be tuned through the energy of the electron beam creating a possible path beyond today’s 13.5 nm limit. If realized, Terafab would represent more than a larger semiconductor plant. It would transform lithography from a collection of isolated tools into shared industrial infrastructure. The next era of chipmaking may not be defined by a better machine. It may be defined by an entirely new architecture for manufacturing intelligence at civilization scale.

Lacey

13,405 Aufrufe • vor 1 Monat

ASML's EUV machine is one of the most complex machines ever built by humanity. Some *insane* stats about it: → Without EUV machines, it's impossible to manufacture cutting-edge chips for things like $AAPL iPhones, $NVDA GPUs, and $AMZN data centers. → $ASML is the *only* producers of EUV machines in the world. → Shipping a single EUV machine requires 40 freight containers, three cargo planes, and 20 trucks. → Each EUV machine costs around $200M, consists of more than 100,000 parts and weighs 200 tonnes. → The mirrors inside (supplied by Zeiss) are said to be the flattest objects ever produced. If scaled up to the size of Germany, the largest unevenness would be a tenth of a millimeter. → The next generation High-NA EUV systems have been shipped to $INTC and $TSM and costs closer to $400M. This is human ingenuity at its best. Thanks Intel for the fab tour!

ASML's EUV machine is one of the most complex machines ever built by humanity. Some insane stats about it: → Without EUV machines, it's impossible to manufacture cutting-edge chips for things like $AAPL iPhones, $NVDA GPUs, and $AMZN data centers. → $ASML is the only producers of EUV machines in the world. → Shipping a single EUV machine requires 40 freight containers, three cargo planes, and 20 trucks. → Each EUV machine costs around $200M, consists of more than 100,000 parts and weighs 200 tonnes. → The mirrors inside (supplied by Zeiss) are said to be the flattest objects ever produced. If scaled up to the size of Germany, the largest unevenness would be a tenth of a millimeter. → The next generation High-NA EUV systems have been shipped to $INTC and $TSM and costs closer to $400M. This is human ingenuity at its best. Thanks Intel for the fab tour!

Quartr

76,853 Aufrufe • vor 1 Jahr

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.

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.

Ray Myers

307,502 Aufrufe • vor 1 Jahr

SITUATION EXPLAINED: A Chinese state-backed company started mass-producing DUV lithography tools, a step below EUV but still significant. • ASML shares fell as much as 6.5%, their lowest since early June, after The Information reported a Shanghai-based, state-backed company began mass-producing immersion DUV lithography machines • The company is Shanghai Yuliangsheng, with ties to Huawei and the SiCarrier equipment group, it brought together immersion DUV development teams from other Chinese firms • Plans call for 5 tools this year and 20 next year, with confirmed customers SMIC, CXMT, and Hua Hong Semiconductor • Real caveat: SMIC has actually been trialing this tool since September 2025, and active mass production isn't targeted until 2027 at the earliest • Independent analysis from the AI Futures Project puts commercial-scale Chinese immersion DUV in the mid-2030s, with ASML still holding 98.7% of the immersion lithography market • Chinese chipmakers are currently only allowed to buy ASML's older DUV tools, not its cutting-edge EUV machines • The MATCH Act, moving through Congress, would widen restrictions specifically on immersion DUV equipment • China is separately developing its own domestic EUV machine, but that project remains at the prototype stage and is likely years away from producing working chips • Nikon and Canon are the only other established DUV/lithography vendors outside ASML, alongside SMEE as another Chinese domestic challenger Theo Jaffee: "Someone has to own the bottom of the market. Chinese DUV would be the same thing for ASML. The frontier leading-edge chip fabs will still be using ASML EUV machines, but less leading-edge fabs would use DUV machines, like, for example, it would be really helpful for Huawei."

SITUATION EXPLAINED: A Chinese state-backed company started mass-producing DUV lithography tools, a step below EUV but still significant. • ASML shares fell as much as 6.5%, their lowest since early June, after The Information reported a Shanghai-based, state-backed company began mass-producing immersion DUV lithography machines • The company is Shanghai Yuliangsheng, with ties to Huawei and the SiCarrier equipment group, it brought together immersion DUV development teams from other Chinese firms • Plans call for 5 tools this year and 20 next year, with confirmed customers SMIC, CXMT, and Hua Hong Semiconductor • Real caveat: SMIC has actually been trialing this tool since September 2025, and active mass production isn't targeted until 2027 at the earliest • Independent analysis from the AI Futures Project puts commercial-scale Chinese immersion DUV in the mid-2030s, with ASML still holding 98.7% of the immersion lithography market • Chinese chipmakers are currently only allowed to buy ASML's older DUV tools, not its cutting-edge EUV machines • The MATCH Act, moving through Congress, would widen restrictions specifically on immersion DUV equipment • China is separately developing its own domestic EUV machine, but that project remains at the prototype stage and is likely years away from producing working chips • Nikon and Canon are the only other established DUV/lithography vendors outside ASML, alongside SMEE as another Chinese domestic challenger Theo Jaffee: "Someone has to own the bottom of the market. Chinese DUV would be the same thing for ASML. The frontier leading-edge chip fabs will still be using ASML EUV machines, but less leading-edge fabs would use DUV machines, like, for example, it would be really helpful for Huawei."

MTS

16,220 Aufrufe • vor 2 Monaten

$ASML has become one of the clearest ways to invest in the global AI chip buildout because it controls one of the most important bottlenecks in semiconductor manufacturing. Its lithography systems act like ultra-precise printers that create the tiny circuit patterns used in advanced chips and ASML remains the only company producing EUV machines at scale. $TSM cannot manufacture $NVDA Blackwell or Rubin GPUs without those systems which means nearly every dollar flowing into advanced AI compute ultimately passes through ASML’s equipment.

$ASML has become one of the clearest ways to invest in the global AI chip buildout because it controls one of the most important bottlenecks in semiconductor manufacturing. Its lithography systems act like ultra-precise printers that create the tiny circuit patterns used in advanced chips and ASML remains the only company producing EUV machines at scale. $TSM cannot manufacture $NVDA Blackwell or Rubin GPUs without those systems which means nearly every dollar flowing into advanced AI compute ultimately passes through ASML’s equipment.

Shay Boloor

62,457 Aufrufe • vor 2 Monaten

One of the most underrated marvels in semiconductor fabs is the vacuum pump. A high end dry vacuum pump can spin at 90,000 RPM, operate 24/7 for years, maintain ultra clean vacuum environments, survive corrosive process gases, and hold tolerances measured in microns. These Turbo Molecular Vacuum Pumps cost $10,000 to $25,000+ per unit. Without them, there are no chips, no AI GPUs, no smartphones. The semiconductor industry isn't just about EUV lithography. It's also about thousands of invisible engineering masterpieces quietly running in the background. Video Source :- Leon Li-666

One of the most underrated marvels in semiconductor fabs is the vacuum pump. A high end dry vacuum pump can spin at 90,000 RPM, operate 24/7 for years, maintain ultra clean vacuum environments, survive corrosive process gases, and hold tolerances measured in microns. These Turbo Molecular Vacuum Pumps cost $10,000 to $25,000+ per unit. Without them, there are no chips, no AI GPUs, no smartphones. The semiconductor industry isn't just about EUV lithography. It's also about thousands of invisible engineering masterpieces quietly running in the background. Video Source :- Leon Li-666

Ammanichanda

550,084 Aufrufe • vor 3 Monaten

Trump on relocating chips manufacturing to the US: "It will at least give us a position where we have in this very very important business, we would have a very big part of it in the US if something should happen with Taiwan."

Trump on relocating chips manufacturing to the US: "It will at least give us a position where we have in this very very important business, we would have a very big part of it in the US if something should happen with Taiwan."

Aaron Rupar

2,258,661 Aufrufe • vor 1 Jahr

Trump: "To be honest with you, Canada only works as a state. We don't need anything they have. As a state it would be one of the great states. This would be the most incredible country visually. If you look at a map, they drew an artificial line right through it."

Trump: "To be honest with you, Canada only works as a state. We don't need anything they have. As a state it would be one of the great states. This would be the most incredible country visually. If you look at a map, they drew an artificial line right through it."

Aaron Rupar

11,946,516 Aufrufe • vor 1 Jahr

Tony Parker on Ray Allen’s iconic game 6 shot against him and the Spurs in the 2013 NBA Finals: Tony: “it happened so fast…I wasn’t trying to foul him…I tried to do the best I can to contest one of the best shooters in our league and he made a helluva shot and everytime I look at it — I’m like how did he even make that shot…” Wade: “after practice Ray Allen would always sit on his butt on the block and he would back pedal to the 3PT line…he did this at practice everyday so it was amazing that it was Ray Allen because if it was me it would’ve been a whole different shot…” (via Wy Network by Dwyane Wade)

Tony Parker on Ray Allen’s iconic game 6 shot against him and the Spurs in the 2013 NBA Finals: Tony: “it happened so fast…I wasn’t trying to foul him…I tried to do the best I can to contest one of the best shooters in our league and he made a helluva shot and everytime I look at it — I’m like how did he even make that shot…” Wade: “after practice Ray Allen would always sit on his butt on the block and he would back pedal to the 3PT line…he did this at practice everyday so it was amazing that it was Ray Allen because if it was me it would’ve been a whole different shot…” (via Wy Network by Dwyane Wade)

The HEAT Realm

211,052 Aufrufe • vor 5 Monaten

Elon Musk explains how data centers in Space could help the US compete with China in AI “Given that Chinese AI companies are doing as well as they are with a relatively small amount of compute, it seems that if they had a lot of compute, there’s a good chance they would be the leaders. The constraints on AI are essentially electricity and AI chips. China is very strong in digital AI, and it has far more electricity than the United States. In fact, China already has more electricity than the United States, Europe and India combined. The US government can prevent US companies from using Chinese models, but it can’t stop the rest of the world from using them. That won’t stop China from becoming the leader in AI. Digital intelligence comes down to how much AI compute, how many chips and how much electricity you have. The current constraint is electricity outside China. In China, the constraint is chips. China is also closer than most people realize to solving the lithography problem, which would enable it to make AI chips in very large volumes. Once we address the power constraint with AI data centers in space, the constraint will once again be chips outside China.”

Elon Musk explains how data centers in Space could help the US compete with China in AI “Given that Chinese AI companies are doing as well as they are with a relatively small amount of compute, it seems that if they had a lot of compute, there’s a good chance they would be the leaders. The constraints on AI are essentially electricity and AI chips. China is very strong in digital AI, and it has far more electricity than the United States. In fact, China already has more electricity than the United States, Europe and India combined. The US government can prevent US companies from using Chinese models, but it can’t stop the rest of the world from using them. That won’t stop China from becoming the leader in AI. Digital intelligence comes down to how much AI compute, how many chips and how much electricity you have. The current constraint is electricity outside China. In China, the constraint is chips. China is also closer than most people realize to solving the lithography problem, which would enable it to make AI chips in very large volumes. Once we address the power constraint with AI data centers in space, the constraint will once again be chips outside China.”

DogeDesigner

246,547 Aufrufe • vor 2 Monaten

Elon Musk said Tesla will soon reveal the location and full plans for Terafab and the announcement will get its own dedicated spotlight: “Terafab is going to be an amazing initiative and a necessary one Without it, we will be constrained in our ability to scale Optimus production because we simply will not have enough AI chips We have to solve memory, logic and packaging in order to scale Optimus” Tesla has already placed equipment orders for a development fab in Austin that will bring: • Lithography mask production • Logic chips • Memory • Advanced packaging • Chip testing All under one roof This would allow Tesla to design a new AI chip, manufacture it, package it, test it and quickly iterate on the next version from the same facility A building like this does not exist anywhere else on Earth Terafab is not just another factory It is going to become the chip-development engine Tesla needs to scale Optimus and pursue high-risk, high-reward AI hardware breakthroughs at unprecedented speed

Elon Musk said Tesla will soon reveal the location and full plans for Terafab and the announcement will get its own dedicated spotlight: “Terafab is going to be an amazing initiative and a necessary one Without it, we will be constrained in our ability to scale Optimus production because we simply will not have enough AI chips We have to solve memory, logic and packaging in order to scale Optimus” Tesla has already placed equipment orders for a development fab in Austin that will bring: • Lithography mask production • Logic chips • Memory • Advanced packaging • Chip testing All under one roof This would allow Tesla to design a new AI chip, manufacture it, package it, test it and quickly iterate on the next version from the same facility A building like this does not exist anywhere else on Earth Terafab is not just another factory It is going to become the chip-development engine Tesla needs to scale Optimus and pursue high-risk, high-reward AI hardware breakthroughs at unprecedented speed

X Freeze

18,749 Aufrufe • vor 2 Monaten

What Would Your Ruling Be? Gruffudd Pugh-Jones found himself in a tricky spot during the $100,000 High Roller. Intending to call a bet of 32,000, he accidentally put out 107,000 in chips. The floor was called and ruled it a raise. How would you handle this at the table?

What Would Your Ruling Be? Gruffudd Pugh-Jones found himself in a tricky spot during the $100,000 High Roller. Intending to call a bet of 32,000, he accidentally put out 107,000 in chips. The floor was called and ruled it a raise. How would you handle this at the table?

WSOP - World Series of Poker

50,186 Aufrufe • vor 3 Monaten

Competition among tech giants spans four critical dimensions: technology, finance, branding, and talent. TSMC recently released a video from its Arizona fab highlighting ASML EUV machines printing next-generation chips. However, this move is by no means cost-efficient for TSMC; it serves primarily as a geopolitically motivated brand stunt. Currently, these silicon wafers must still be shipped back to Taiwan for advanced packaging—a process Arizona cannot yet handle. Furthermore, by strategic design, the chips produced in Arizona remain at least one generation behind those manufactured in Taiwan.

BrandAI

10,169 Aufrufe • vor 1 Monat

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.

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.

Dwarkesh Patel

154,381 Aufrufe • vor 6 Monaten

If we want a more affordable America, we need a dramatic change in government at ALL LEVELS. Make government SMALLER, and get it the hell out of the way!

If we want a more affordable America, we need a dramatic change in government at ALL LEVELS. Make government SMALLER, and get it the hell out of the way!

Rick Scott

19,513 Aufrufe • vor 6 Tagen

Penumbra Episode 3 is live now. Vinu, our creative director, made this 13 minute episode in 3 weeks using Agent One. One thing is quite clear now, we are finally at a point where if you have a story, you don't need a massive budget to make it. Original stories that weren't able to get backing before, can now make it through.

Penumbra Episode 3 is live now. Vinu, our creative director, made this 13 minute episode in 3 weeks using Agent One. One thing is quite clear now, we are finally at a point where if you have a story, you don't need a massive budget to make it. Original stories that weren't able to get backing before, can now make it through.

Invideo

12,526 Aufrufe • vor 2 Monaten

Ben on Intel and TSMC: "A lot of tech companies didn't fully appreciate the extent to which TSMC offloaded risk onto the big tech companies. The risk TSMC is worried about is overcapacity. If we build a fab, we expect that fab to run for 30 years. So they are very biased toward being much more conservative. Risk doesn't disappear. It just moves. Today, when we say there's not enough compute, it's not like all the money that companies are putting in today manifests in compute tomorrow. It manifests in compute in 2028 and 2029. But this is where TSMC in some respects made the same mistake as the memory makers. Because they didn't invest, the shortages are going to be so acute, big tech companies that were foregoing so much revenue and so many profits will go through the pain of getting Intel up to speed, of getting Samsung up to speed. It never made rational sense for anyone to go work with Intel. In an unchanging world, TSMC would just win forever. The scarcity is what ultimately saved Intel. It was ultimately TSMC brought it on themselves."

Ben on Intel and TSMC: "A lot of tech companies didn't fully appreciate the extent to which TSMC offloaded risk onto the big tech companies. The risk TSMC is worried about is overcapacity. If we build a fab, we expect that fab to run for 30 years. So they are very biased toward being much more conservative. Risk doesn't disappear. It just moves. Today, when we say there's not enough compute, it's not like all the money that companies are putting in today manifests in compute tomorrow. It manifests in compute in 2028 and 2029. But this is where TSMC in some respects made the same mistake as the memory makers. Because they didn't invest, the shortages are going to be so acute, big tech companies that were foregoing so much revenue and so many profits will go through the pain of getting Intel up to speed, of getting Samsung up to speed. It never made rational sense for anyone to go work with Intel. In an unchanging world, TSMC would just win forever. The scarcity is what ultimately saved Intel. It was ultimately TSMC brought it on themselves."

Patrick OShaughnessy

101,529 Aufrufe • vor 1 Monat

“If we can make AI make better chips, then those chips can power the next generation of AI models.” Startup ‘Ricursive Intelligence,’ founded by Azalia Mirhoseini and Anna Goldie, has been building AI tools to do just that: to speed up the chip design process. The company’s name is a nod to “recursive self-improvement,” the idea that AI could one day bootstrap itself without human involvement. If they’re successful, Goldie and Mirhoseini could revolutionize the way the chip industry works. At the moment, AI companies mostly optimize their models for certain chips. But in a future where chip design happens far faster, it could work the other way around: chips optimized for specific models. The founders are on the TIME100 AI, the list of people shaping the development of AI in 2026. See the full list:

“If we can make AI make better chips, then those chips can power the next generation of AI models.” Startup ‘Ricursive Intelligence,’ founded by Azalia Mirhoseini and Anna Goldie, has been building AI tools to do just that: to speed up the chip design process. The company’s name is a nod to “recursive self-improvement,” the idea that AI could one day bootstrap itself without human involvement. If they’re successful, Goldie and Mirhoseini could revolutionize the way the chip industry works. At the moment, AI companies mostly optimize their models for certain chips. But in a future where chip design happens far faster, it could work the other way around: chips optimized for specific models. The founders are on the TIME100 AI, the list of people shaping the development of AI in 2026. See the full list:

TIME

38,584 Aufrufe • vor 1 Monat

This video of how an $ASML EUV machine works will blown your mind. Some *insane* stats about it: → Without EUV machines, it's impossible to manufacture cutting-edge chips for things like $AAPL iPhones, $NVDA GPUs, and $AMZN data centers. → ASML is the *only* producers of EUV machines in the world. → Each EUV machine costs around $200M, consists of 100,000 parts and weighs 200 tonnes. → The mirrors inside (supplied by Zeiss) are said to be the flattest objects ever produced. If scaled up to the size of Germany, the largest unevenness would be a tenth of a millimeter. Thanks Intel for the Fab tour! 🙌 Enjoy! Leandro Dissecting the Markets Invest In Assets 📈 Beth Kindig Chris Miller The Future Investors Stefan Thelenius Bastiaan Shay Boloor ユーエスさん🇺🇸米国株投資🍺🥃🍷🍶⚽ Paul Triolo

This video of how an $ASML EUV machine works will blown your mind. Some insane stats about it: → Without EUV machines, it's impossible to manufacture cutting-edge chips for things like $AAPL iPhones, $NVDA GPUs, and $AMZN data centers. → ASML is the only producers of EUV machines in the world. → Each EUV machine costs around $200M, consists of 100,000 parts and weighs 200 tonnes. → The mirrors inside (supplied by Zeiss) are said to be the flattest objects ever produced. If scaled up to the size of Germany, the largest unevenness would be a tenth of a millimeter. Thanks Intel for the Fab tour! 🙌 Enjoy! Leandro Dissecting the Markets Invest In Assets 📈 Beth Kindig Chris Miller The Future Investors Stefan Thelenius Bastiaan Shay Boloor ユーエスさん🇺🇸米国株投資🍺🥃🍷🍶⚽ Paul Triolo

Quartr

348,546 Aufrufe • vor 3 Jahren