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Elon Musk wants to do 10 chip designs a year with Terafab compared to 1 every 2 years: "The advancement of any given technology is how many iterations, and how much progress per iteration. How many chip designs can you do, make and test in a year? These days it's typically 2 years for even 1 significant chip design, and that's kind of going from start of design to volume fabrication...we want to do more like 10 designs per year." Via Tesla Owners Silicon Valley $SPCX $TSLA
P Equity Research 📰3,522,952 просмотров • 15 дней назад
Mark Zuckerberg and Alexander Wang on deploying capital for AI spend: Alexander: "you have to make very large investments or make very big decisions about how you're going to invest or develop the technology, you know, what decisions you're going to make long before there's proof points around." Mark: "We have these conversations where it's like at the end of last year, we're like, alright, we are quite excited about the progress. We haven't seen the models yet. We're gonna write this check for like, I don't know, like $100 billion or $200 billion like, Alex, are you sure this is gonna work?" Alexander: "Although it's like the joke, every time we talk about, we hope it's all gonna work and be good." Spend or get left behind - the spending race in AI Via Blue savannah on Youtube $MSFT $META $GOOGL $META $AMZN
P Equity Research 📰1,362,500 просмотров • 13 дней назад
Dylan Patel Dylan Patel of SemiAnalysis considers power as a manageable constraint compared to memory, substrate, and optics: "Power is definitely a big constraint, but one thing that our research sort of shows that I think is counterintuitive to much of the market is that next year there are data center constraints but a lot less than people realize because there are nearly 50GW data centers being built globally. 7-8GW in China, 35GW in the US, and a bunch everywhere else - Australia, India, Malaysia." "All over the world data centers are being built at a tremendous pace." "While power is a huge bottleneck, people can find creative ways around that, whether it be turbines on site, reciprocating engines on site, or fuel cells on site. All of these things are helping alleviate the power bottleneck." "As far as what people most people think, oh data centers and power are the biggest constraint? I think they are constraints but I think they are a lot less than substrates, memory, lasers, and other things in the optics supply chain." Via CASPA on YouTube $META $GEV $MSFT $AMZN $GOOGL $NBIS $CRWV
P Equity Research 📰78,293 просмотров • 1 день назад
Brad Gerstner (Brad Gerstner) on Anthropic: "I was at the investor day in San Francisco last week...there was a lot of energy that day. I would say the sentiment coming out of that room was a 10 out 10. What we heard were incredible things, we saw what was in the product pipeline, the competitive moats were expanding, the amount of compute they are bringing on was really powerful. Those are the things investors care about. By the way, last quarter, lots of stories out there about them being cash flow positive." "If you apply 10x multiple you get to $1.5 trillion. If you apply 12x multiple you get closer to $2 trillion." VIa CNBC
P Equity Research 📰76,406 просмотров • 4 дней назад
CEO of Nvidia, Jensen Huang, on the business model of neoclouds and the possibility of bailing them out: "Number one, we invested in them. That's different than backing them. We invested in them because we think it's a good investment. I can prove it. The reason for that is because all of the neoclouds, their demands are incredible. The demand of their compute is incredible. They have contracts from large companies, small companies. They are completely sold out." "Needing to secure more land, power, shell. Needing to secure more compute, which is therefore, needing more capital, more working capital.' "They need working capital. Because the demand for capital is so high, interest rates are starting to go up. Remember, it is because demand for capital is so high. Why is demand for capital so high? Because the demand for AI is so high. That's what's driving it." "Everything else will get solved when demand is high." Via Bloomberg TV $NVDA $IREN $NBIS $CRWV
P Equity Research 📰52,610 просмотров • 3 дней назад
CEO of Google, Sundar Pichai, on compute demand and AI bubble possibility: Q: Ben Horowitz relayed Andy Jassy had something like compute is sold out till 2028, are you seeing the same thing? "If today a customer is coming out and asking us for compute in 2027, that is incredibly difficult to do. Part of the reason even last year we went out and leased some short term compute to accommodate some customers and help them out." Q: There is talk of how every technology shift has seen overbuilding - railroads, fiber. Do you think there is overbuilding here? "It depends on the timeframe you are looking at. This level of build, if I take a long enough timeframe, it makes complete sense to me. We are at early stage of the most consequential technology ever. It's not like fiber, it's not dark, we are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly." "Running a company, the way I work through the moment is you look at the demand signal, your committed revenue opportunities you are getting in the forms of contracts, you balance that with underlying technical capability." "Can there be an overbuild? Yes...you could be constrained at some points which could cause bottlenecks and you can have overbuild. You could have external shocks to the economy." "Am I confident the compute we are planning for we will have uses for it given enough time? Absolutely, yes." Via Alex Kantrowitz $GOOGL $MSFT $META $ORCL $AMZN
P Equity Research 📰70,795 просмотров • 5 дней назад
CEO of Lumentum, Michael Hurlston, on optical demand: "Next year, with the advent of CPO and NPO in 2027, our estimate is that we are going to be undershipping demand by 70%. We can only supply 30% of what we are being asked to supply." "We are hopeful by 2029/2030, we get to some level of balance, but we are a long long away from balance." $LITE
P Equity Research 📰213,718 просмотров • 22 дней назад
Google's global head of energy and power, Amanda Corio, on AI demand and SpaceX compute rental: "In the case of SpaceX, that's a very short term contract because our demand from Gemini Enterprise customers was huge and we are working in West Memphis, AR to build our Google owned and operated data center...when you have customer demand like we've seen for Gemini product, we had 400 million users in May and that grew to 1 billion in August, that's our fastest growing Google product ever." Via CNBC $GOOGL
P Equity Research 📰31,109 просмотров • 6 дней назад
Jensen Huang on timeline of China's advanced lithography systems: "They are going to get there by 2030. 2030 is just around the corner. The way to think about China is that it's really good at high volume production. It's just a matter of time...so 2 or 3 years is just a click, its nothing. So as far as they are concerned, they are already there." Via The All-In Podcast
P Equity Research 📰193,202 просмотров • 1 месяц назад
CEO of AWS, Matt Garman, on Amazon's CapEx spend: "The capex expense needed to deploy all of the compute everyone needs right now is massive. Our capex is $220 billion for 26. It's the largest expense we've ever had, maybe any company has ever had in a single year. We don't anticipate slowing down anytime soon because the demand is massive." Via a16z $GOOGL $MSFT $META $ORCL $AMZN
P Equity Research 📰48,831 просмотров • 15 дней назад
CFO of OpenAI, Sarah Friar, conversation with Ed Ludlow on Bloomberg today: > Consumer product reach has 1.2 billion users weekly using their product, up 20% in about 6 weeks. > Claims OpenAI is "well capitalized." > Fast growing business, and making sure to make the investment in compute well ahead of time. Looking at the right ROI lens when doing so. A year ago they were taking down a lot of compute, and right now they sit the same place where they could use more compute in 2027. Via Bloomberg TV
P Equity Research 📰72,450 просмотров • 26 дней назад
Sam Altman made some important remarks on the Cite Your Sources with Alex Heath: > Not worried about OpenAI's compute buildout plan; believes will use all of their compute very profitability > Concerned about "unsustainable silliness" of random new neoclouds popping up and claiming to build gigantic lines of compute without the revenue and customer to support. > Believes they can confidently pay for all of the compute they have committed to. > "Cost is no object" for compute. People believe they can build compute and someone will buy it at a higher price. > OpenAI has no plan of selling compute externally anytime soon. $NVDA $NBIS $AMD $MRVL $AVGO $IREN $CRWV
P Equity Research 📰127,604 просмотров • 1 месяц назад
Hock Tan and Lip-Bu Tan at DBS Bank Conference: Hock Tan: "Most companies out there cannot find any bloody return on investment, im telling you, people are just wasting money, spending tokens, trying to understand." Lip-Bu Tan: "If you look at the AI growth, a lot of concentration on two companies, and that is potential risk. And then you talk about China's lower cost of tokens, that is true. Right now, for example, in a US company, we try to deploy the AI and the token cost, if you don't control, is out of control. And so the token for a China frontier model is much, much lower and the adoption is very fast." "Next 2-3 years, we don't see any slowdown. If there's anything that slows down, these are the few areas we are focused on. One is the memory shortage. Secondly, some of the subscriptions." Via The Business Times $AVGO $INTC
P Equity Research 📰31,650 просмотров • 12 дней назад
Chamath Palihapitiya Chamath Palihapitiya is more bullish on Google's $GOOGL CapEx spending: "Do you know what Google's 25 year average ROIC has been since going public? 32%. When you are a machine that compounds money at 32% over a 20 year average, you give these guys benefit of a doubt. These are not guys flying fast and loose, they are methodically investing in their edge. They are going to get massively rewarded...the best thing that can happen to them is 500 different models proliferate and they support all of them. They will make so much money at the silicon layer and as the cloud provider." Via The All-In Podcast
P Equity Research 📰206,833 просмотров • 3 месяцев назад
CEO of Phison, KS Pua, on NAND demand: "Last September, I mentioned NAND flash is going to be a big supercycle and last for 10 years, then people laughed. By November last year, the industrial didn't believe, but look at today. NAND is in a big undersupply, next year will be the worst." Via Bloomberg $SNDK
P Equity Research 📰110,648 просмотров • 1 месяц назад
CEO of Dell, Michael Dell, on impact of data center delays on AI demand: "We have a large backlog of these projects and we haven't really seen that much in a way of delays, and I think it is good that there's now this active engagement with communities...not seeing anything that would affect our expectations...I don't see it as a big impediment to 2027." Via CNBC $DELL
P Equity Research 📰19,730 просмотров • 12 дней назад
Jason Calacanis @jason on Nvidia: "I believe right now, starting today, Nvidia is the number one competitor for OpenAI and Anthropic, not just for tokens but for enterprise compute and I think now Jensen is the leading open source provider in America. I think he's going to take the world, he's going to catch up and blow past China and the Chinese models I think by the end of 2027. And then that means you're going to have a player...I am more convinced than ever now that we can win the race, because Jensen represents open source globally. He's going to be able to take a rack of compute, bring it into a company that is currently using tokens from OpenAI and Anthropic and say here's your rack, soup to nuts, complete vertical solution and you have total sovereignty and i'm reducing your prices 80 or 90% cause I don't need to make money off the tokens I made money off the hardware." Via The All-In Podcast $NVDA
P Equity Research 📰58,653 просмотров • 1 месяц назад
ASML's CEO, Christophe Fouquet, on AI demand: "In the course of the last 6 months, everyone started to realize that these AI opportunities is going to translate for real into a major buildout of infrastructure, which would take most probably 2-5 years. Once the infrastructure is in place, this will translate into a lot of new products, it could be robots, healthcare products, energy products, which could require even more chips." On visibility, he says they see 2-3 years of demand visibility. Via TechTechPotato $ASML
P Equity Research 📰22,446 просмотров • 17 дней назад