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Nvidia just backstopped $100B for OpenAI’s Ohio data center that will house its chips. Here's why: “OpenAI doesn't have the credit to be able to kind of lease that on its own and convince lenders to back it.” “So it would need kind of an investment grade company with... show more

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TeraWulf $WULF CFO Patrick Fleury states that either NVIDIA, Amazon, or Google will backstop Anthropic's lease payments to TeraWulf at their 401MW Kentucky data center, unless Anthropic itself goes public and establishes a "really strong" investment grade credit rating in the near-term. "In the press release, we said that the lease payments will be backed by investment grade credit support. And we chose that language very carefully.. because one of two things is going to happen. First off, Anthropic, just like OpenAI and others uses three primary chip providers. NVIDIA, Amazon, and Google. One of those three will be providing the chips for this data center. So we will either do something similar that we've done in the past where one of those investment grade providers provides credit support to the project because they're selling tens of billions of dollars of chips into the project. Or if we decide not to do that because Anthropic gets public similar to SpaceX and similar to SpaceX has a strong investment grade credit rating, then you don't need the investment grade credit wrap from one of the bigger guys."

TeraWulf $WULF CFO Patrick Fleury states that either NVIDIA, Amazon, or Google will backstop Anthropic's lease payments to TeraWulf at their 401MW Kentucky data center, unless Anthropic itself goes public and establishes a "really strong" investment grade credit rating in the near-term. "In the press release, we said that the lease payments will be backed by investment grade credit support. And we chose that language very carefully.. because one of two things is going to happen. First off, Anthropic, just like OpenAI and others uses three primary chip providers. NVIDIA, Amazon, and Google. One of those three will be providing the chips for this data center. So we will either do something similar that we've done in the past where one of those investment grade providers provides credit support to the project because they're selling tens of billions of dollars of chips into the project. Or if we decide not to do that because Anthropic gets public similar to SpaceX and similar to SpaceX has a strong investment grade credit rating, then you don't need the investment grade credit wrap from one of the bigger guys."

Rittenhouse Research

15,665 Aufrufe • vor 1 Monat

🚨 NVIDIA IS GETTING HIT FROM BOTH SIDES CHINA JUST COMPLETELY BANNED NVIDIA CHIPS BEIJING CANCELED THE GREEN LIGHT FOR TOP CHINESE COMPANIES TO BUY $NVDA CHIPS CHINA WOULD RATHER BUILD ITS OWN AI SUPPLY CHAIN THAN DEPEND ON AMERICA AT THE SAME TIME, NVIDIA CUT ITS INITIAL SUPPORT FOR OPENAI’S OHIO DATA CENTER FROM $250 BILLION TO LESS THAN $120 BILLION CHINA IS BACKING AWAY FROM NVIDIA AND NVIDIA IS STARTING TO BACK AWAY FROM THE AI BOOM THIS IS NOT JUST ABOUT ONE CHIPMAKER THE ENTIRE AI TRADE IS STARTING TO CHANGE

🚨 NVIDIA IS GETTING HIT FROM BOTH SIDES CHINA JUST COMPLETELY BANNED NVIDIA CHIPS BEIJING CANCELED THE GREEN LIGHT FOR TOP CHINESE COMPANIES TO BUY $NVDA CHIPS CHINA WOULD RATHER BUILD ITS OWN AI SUPPLY CHAIN THAN DEPEND ON AMERICA AT THE SAME TIME, NVIDIA CUT ITS INITIAL SUPPORT FOR OPENAI’S OHIO DATA CENTER FROM $250 BILLION TO LESS THAN $120 BILLION CHINA IS BACKING AWAY FROM NVIDIA AND NVIDIA IS STARTING TO BACK AWAY FROM THE AI BOOM THIS IS NOT JUST ABOUT ONE CHIPMAKER THE ENTIRE AI TRADE IS STARTING TO CHANGE

Leshka.eth ⛩

43,391 Aufrufe • vor 15 Tagen

Nvidia CEO Jensen Huang aimed to assure investors that the company can keep up its blockbuster growth with the help of a broad base of customers and that new products will help it beat the $1 trillion in sales it has forecast for its flagship AI chips

Nvidia CEO Jensen Huang aimed to assure investors that the company can keep up its blockbuster growth with the help of a broad base of customers and that new products will help it beat the $1 trillion in sales it has forecast for its flagship AI chips

Reuters

21,427 Aufrufe • vor 3 Monaten

🚀 SpaceX now has over $100 billion in cash, investment-grade credit ratings, and is expected to join the Nasdaq 100 on July 6. On top of that, the company has raised $25 billion through its first bond offering to strengthen its balance sheet and help fund its next phase of growth. The money isn't just sitting there. It's expected to support Starship, Starlink, new factories, launch infrastructure, and massive AI data center projects. This isn't the kind of spending you make for next quarter. It's the kind of spending you make when you're planning for the next decade. $SPCX Larry Goldberg

🚀 SpaceX now has over $100 billion in cash, investment-grade credit ratings, and is expected to join the Nasdaq 100 on July 6. On top of that, the company has raised $25 billion through its first bond offering to strengthen its balance sheet and help fund its next phase of growth. The money isn't just sitting there. It's expected to support Starship, Starlink, new factories, launch infrastructure, and massive AI data center projects. This isn't the kind of spending you make for next quarter. It's the kind of spending you make when you're planning for the next decade. $SPCX Larry Goldberg

Herbert Ong

49,461 Aufrufe • vor 2 Monaten

Nvidia plans to invest $100 billion in ChatGPT-maker OpenAI, and supply it with data center chips. The chipmaker will invest an initial $10 billion, and then start delivering hardware as soon as late 2026

Nvidia plans to invest $100 billion in ChatGPT-maker OpenAI, and supply it with data center chips. The chipmaker will invest an initial $10 billion, and then start delivering hardware as soon as late 2026

Reuters

36,154 Aufrufe • vor 11 Monaten

Jensen Huang just admitted the biggest AI labs can't borrow money like normal companies. So Nvidia signs for them, and they spend it on Nvidia chips. Nvidia reported Wednesday and the numbers are absurd: Revenue of $96.2 billion, up 106%, with net income of $59.7 billion, the most profitable quarter any public company has EVER posted. And Huang just told Fox Business that every chip Nvidia can make next year is already sold. Here's why this matters the most: Huang wrote this himself about his own customers: "Frontier AI labs have extraordinary demand for training and inference compute, but many are growing faster than their balance sheets and long-term credit profiles can support." Then: They "still lack the decades-long infrastructure contracts and investment-grade financing capacity needed to secure the AI factory infrastructure independently." Put simply: His customers can't get the loans. So Nvidia signs for them. There's a compute campus going up in Ohio with OpenAI as the tenant. Nvidia has tied roughly $105 billion in commitments to it. OpenAI's existing and planned commitments now come to about 12 gigawatts of Nvidia compute. CFO Colette Kress told analysts Nvidia will also provide selective credit enhancement for nearly 2 gigawatts of compute at a second frontier lab. She wouldn't say which one. Nvidia put up to $10 billion into Anthropic in November at a valuation near $350 billion, and Anthropic agreed to buy up to a gigawatt of Grace Blackwell and Vera Rubin systems in the same deal. And Nvidia isn't only guaranteeing these companies. It OWNS pieces of them. This week's filing shows $18 billion committed to equity investments for the rest of the fiscal year, and $47.9 billion already sitting in private companies as of late July. Now here's where it gets really insane: Last week, Huang sat on a CNBC set surrounded by six of Wall Street's biggest firms. Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. They signed a memorandum to mobilise up to $500 billion in outside capital for AI data centres. Nvidia kept the option to backstop up to a quarter of those deals. And Huang used that stage to announce that Nvidia GPUs are now an asset class. Pension and credit funds can now lend against graphics cards the way they lend against office towers. Kress saw the accusation coming and got ahead of it on the earnings call: "We recognise the scale of this support, and we know some will call this circular financing. We see it differently." But look at the two things Huang says about the same companies. On the earnings call he said AI has hit its inflection point, that the tokens are productive and profitable, and that compute is now revenue. But he also said those same labs can't secure investment-grade financing on their own. A business that's inflecting into profit is exactly the business a bank lends to. Banks lend against cash flow every day. But Nvidia‘s guarantee exists because something in that first story isn't landing with the people whose job is pricing risk. Kress does have a real answer to this though. She said the second lab's credit support only complements capacity it already secured on its own, without Nvidia backing it. Vendor financing is also old and legal. Cisco did it and GE built a finance arm on it. Huang's case is that Nvidia understands these businesses better than any lender could, and he says the risk is low and his only regret is not investing more and sooner. He may be completely right. But one thing is certain: Nvidia guarantees the paper. The paper buys the chips. Nvidia books the sale. Then Nvidia tells you the order book is full for a year. That order book is the entire argument for a $5 trillion company. And Jensen Huang just explained, in his own words, that his customers couldn't have written those orders without him. Isn’t this suspicious?

Jensen Huang just admitted the biggest AI labs can't borrow money like normal companies. So Nvidia signs for them, and they spend it on Nvidia chips. Nvidia reported Wednesday and the numbers are absurd: Revenue of $96.2 billion, up 106%, with net income of $59.7 billion, the most profitable quarter any public company has EVER posted. And Huang just told Fox Business that every chip Nvidia can make next year is already sold. Here's why this matters the most: Huang wrote this himself about his own customers: "Frontier AI labs have extraordinary demand for training and inference compute, but many are growing faster than their balance sheets and long-term credit profiles can support." Then: They "still lack the decades-long infrastructure contracts and investment-grade financing capacity needed to secure the AI factory infrastructure independently." Put simply: His customers can't get the loans. So Nvidia signs for them. There's a compute campus going up in Ohio with OpenAI as the tenant. Nvidia has tied roughly $105 billion in commitments to it. OpenAI's existing and planned commitments now come to about 12 gigawatts of Nvidia compute. CFO Colette Kress told analysts Nvidia will also provide selective credit enhancement for nearly 2 gigawatts of compute at a second frontier lab. She wouldn't say which one. Nvidia put up to $10 billion into Anthropic in November at a valuation near $350 billion, and Anthropic agreed to buy up to a gigawatt of Grace Blackwell and Vera Rubin systems in the same deal. And Nvidia isn't only guaranteeing these companies. It OWNS pieces of them. This week's filing shows $18 billion committed to equity investments for the rest of the fiscal year, and $47.9 billion already sitting in private companies as of late July. Now here's where it gets really insane: Last week, Huang sat on a CNBC set surrounded by six of Wall Street's biggest firms. Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR. They signed a memorandum to mobilise up to $500 billion in outside capital for AI data centres. Nvidia kept the option to backstop up to a quarter of those deals. And Huang used that stage to announce that Nvidia GPUs are now an asset class. Pension and credit funds can now lend against graphics cards the way they lend against office towers. Kress saw the accusation coming and got ahead of it on the earnings call: "We recognise the scale of this support, and we know some will call this circular financing. We see it differently." But look at the two things Huang says about the same companies. On the earnings call he said AI has hit its inflection point, that the tokens are productive and profitable, and that compute is now revenue. But he also said those same labs can't secure investment-grade financing on their own. A business that's inflecting into profit is exactly the business a bank lends to. Banks lend against cash flow every day. But Nvidia‘s guarantee exists because something in that first story isn't landing with the people whose job is pricing risk. Kress does have a real answer to this though. She said the second lab's credit support only complements capacity it already secured on its own, without Nvidia backing it. Vendor financing is also old and legal. Cisco did it and GE built a finance arm on it. Huang's case is that Nvidia understands these businesses better than any lender could, and he says the risk is low and his only regret is not investing more and sooner. He may be completely right. But one thing is certain: Nvidia guarantees the paper. The paper buys the chips. Nvidia books the sale. Then Nvidia tells you the order book is full for a year. That order book is the entire argument for a $5 trillion company. And Jensen Huang just explained, in his own words, that his customers couldn't have written those orders without him. Isn’t this suspicious?

Ricardo

61,238 Aufrufe • vor 2 Tagen

Nvidia is pulling off the most sophisticated financial loop in tech history. They invested $40 BILLION in its own customers in just 5 months. Here's why this could blow up the entire AI economy: Nvidia generated $97 billion in free cash flow last year. Instead of sitting on it, Jensen started writing checks to every company in the AI supply chain. Not small checks. We're talking about billions at a time. And almost every single one of those companies turns around and spends that money on Nvidia chips. Follow the money: $30 billion into OpenAI. OpenAI is one of Nvidia's largest GPU customers and spends billions annually on Nvidia hardware through cloud providers. $2 billion into CoreWeave, a company that exists exclusively to rent out data centers full of Nvidia GPUs. $2 billion into Marvell for silicon photonics that connects Nvidia systems. $2 billion into Lumentum for optical tech that powers Nvidia data centers. $2 billion into Coherent for the same thing. $2 billion into Nebius, an AI cloud company deploying Nvidia infrastructure. $3.2 billion into Corning, the glassmaker building three new US factories specifically to make fiber optic cables for Nvidia's next-gen systems. $2.1 billion into IREN, a data center operator that just agreed to deploy 5 gigawatts of Nvidia-designed infrastructure. And the list goes on. Every single recipient either buys Nvidia chips directly, builds infrastructure that runs on Nvidia chips, or manufactures components that go inside Nvidia systems. Matthew Bryson, an analyst at Wedbush Securities, said in a research note that Nvidia's dealmaking fits "squarely into the circular investment theme." Bloomberg even published an entire interactive feature this week titled "AI Circular Deals: How Microsoft, OpenAI and Nvidia Keep Paying Each Other." The piece maps how capital flows between the same handful of companies and gets counted as revenue multiple times along the way. But here's the part that makes this genuinely complicated: Nvidia's $5 billion investment in Intel from September is now worth over $25 billion. That's a 5x return in months. Their private company portfolio went from $3.4 billion to $22.3 billion on the balance sheet in a single year. They booked $8.9 billion in gains from equity investments alone. So when critics say "circular investing," Nvidia can point to Intel and say "we turned $5 billion into $25 billion, this is just smart capital deployment." And they're not wrong. Some of these bets ARE paying off like crazy. The real question is whether Nvidia is a chipmaker that happens to invest, or a venture fund that happens to sell chips. Because right now Jensen is doing both at a scale that has never existed in the semiconductor industry. No chipmaker in history has EVER invested $40 billion in its own ecosystem in five months. Last fiscal year Nvidia invested $17.5 billion in private companies. Their SEC filing literally says those investments include "AI model companies that purchase its products directly or through cloud service providers." They're saying it themselves: We invest in companies that buy our products. On Nvidia's last earnings call, Jensen told investors their investments are focused on "expanding and deepening our ecosystem reach." Translate that from CEO-speak and it means " we're funding the companies that fund us. The bull case says Nvidia is building an unbreakable moat by financing the entire AI supply chain and ensuring it all runs on Nvidia hardware. The bear case says this is the most elaborate circular revenue scheme since the subprime mortgage era and it all breaks apart the moment one domino falls. Both cases use the exact same evidence.

Nvidia is pulling off the most sophisticated financial loop in tech history. They invested $40 BILLION in its own customers in just 5 months. Here's why this could blow up the entire AI economy: Nvidia generated $97 billion in free cash flow last year. Instead of sitting on it, Jensen started writing checks to every company in the AI supply chain. Not small checks. We're talking about billions at a time. And almost every single one of those companies turns around and spends that money on Nvidia chips. Follow the money: $30 billion into OpenAI. OpenAI is one of Nvidia's largest GPU customers and spends billions annually on Nvidia hardware through cloud providers. $2 billion into CoreWeave, a company that exists exclusively to rent out data centers full of Nvidia GPUs. $2 billion into Marvell for silicon photonics that connects Nvidia systems. $2 billion into Lumentum for optical tech that powers Nvidia data centers. $2 billion into Coherent for the same thing. $2 billion into Nebius, an AI cloud company deploying Nvidia infrastructure. $3.2 billion into Corning, the glassmaker building three new US factories specifically to make fiber optic cables for Nvidia's next-gen systems. $2.1 billion into IREN, a data center operator that just agreed to deploy 5 gigawatts of Nvidia-designed infrastructure. And the list goes on. Every single recipient either buys Nvidia chips directly, builds infrastructure that runs on Nvidia chips, or manufactures components that go inside Nvidia systems. Matthew Bryson, an analyst at Wedbush Securities, said in a research note that Nvidia's dealmaking fits "squarely into the circular investment theme." Bloomberg even published an entire interactive feature this week titled "AI Circular Deals: How Microsoft, OpenAI and Nvidia Keep Paying Each Other." The piece maps how capital flows between the same handful of companies and gets counted as revenue multiple times along the way. But here's the part that makes this genuinely complicated: Nvidia's $5 billion investment in Intel from September is now worth over $25 billion. That's a 5x return in months. Their private company portfolio went from $3.4 billion to $22.3 billion on the balance sheet in a single year. They booked $8.9 billion in gains from equity investments alone. So when critics say "circular investing," Nvidia can point to Intel and say "we turned $5 billion into $25 billion, this is just smart capital deployment." And they're not wrong. Some of these bets ARE paying off like crazy. The real question is whether Nvidia is a chipmaker that happens to invest, or a venture fund that happens to sell chips. Because right now Jensen is doing both at a scale that has never existed in the semiconductor industry. No chipmaker in history has EVER invested $40 billion in its own ecosystem in five months. Last fiscal year Nvidia invested $17.5 billion in private companies. Their SEC filing literally says those investments include "AI model companies that purchase its products directly or through cloud service providers." They're saying it themselves: We invest in companies that buy our products. On Nvidia's last earnings call, Jensen told investors their investments are focused on "expanding and deepening our ecosystem reach." Translate that from CEO-speak and it means " we're funding the companies that fund us. The bull case says Nvidia is building an unbreakable moat by financing the entire AI supply chain and ensuring it all runs on Nvidia hardware. The bear case says this is the most elaborate circular revenue scheme since the subprime mortgage era and it all breaks apart the moment one domino falls. Both cases use the exact same evidence.

Ricardo

162,447 Aufrufe • vor 3 Monaten

AI supercomputers need a new kind of network to stay in sync at massive scale. OpenAI’s Mark Handley and Greg join Andrew Mayne to discuss what it takes to move data across record numbers of chips reliably and efficiently, the new Multipath Reliable Connection (MRC) networking protocol, and why it's available for the whole industry to use.

AI supercomputers need a new kind of network to stay in sync at massive scale. OpenAI’s Mark Handley and Greg join Andrew Mayne to discuss what it takes to move data across record numbers of chips reliably and efficiently, the new Multipath Reliable Connection (MRC) networking protocol, and why it's available for the whole industry to use.

OpenAI

1,109,993 Aufrufe • vor 3 Monaten

J-Cal: Nvidia is taking the gloves off with its open source model. They will own the whole stack. “You will not be able to tell the difference between Jensen Huang's open source LLM and Claude for 95% of your searches, I guarantee you. Now, why has Nvidia and Jensen downplayed their open source model until this moment? Why would he do that? Why would he never bring it up in the All-In interview, never bring it up? Because his top customers (OpenAI, Anthropic, etc.) were very concerned, from what I understand, about the fact that Nvidia had made so much progress on their open source model. But suddenly, after OpenAI announced their Jalapeno chips, after Anthropic started making chips, after AMD did successful projects with both of these companies, after Elon said he's going to do his own fab, Nvidia's taking the gloves off. They are going to own the whole stack. You get the hardware from them, and you're going to get a model that's competitive with OpenAI's for free.”

J-Cal: Nvidia is taking the gloves off with its open source model. They will own the whole stack. “You will not be able to tell the difference between Jensen Huang's open source LLM and Claude for 95% of your searches, I guarantee you. Now, why has Nvidia and Jensen downplayed their open source model until this moment? Why would he do that? Why would he never bring it up in the All-In interview, never bring it up? Because his top customers (OpenAI, Anthropic, etc.) were very concerned, from what I understand, about the fact that Nvidia had made so much progress on their open source model. But suddenly, after OpenAI announced their Jalapeno chips, after Anthropic started making chips, after AMD did successful projects with both of these companies, after Elon said he's going to do his own fab, Nvidia's taking the gloves off. They are going to own the whole stack. You get the hardware from them, and you're going to get a model that's competitive with OpenAI's for free.”

The All-In Podcast

227,561 Aufrufe • vor 1 Monat

$NBIS and $CRWV growing like crazy shouldn't be surprising. Satya Nadella publicly explained 6 months ago on a podcast that $MSFT would be leasing a lot of capacity going forward rather than building all itself. Here is what I think is happening: These neo-cloud businesses, both $NBIS and $CRWV, exist solely because $NVDA wants them to exist. Nvidia has an equity stake in both companies, and they are both members of the Nvidia Partners Program. Nvidia grants early access to its chips to the partners. Nvidia does that because it knows all hyperscalers, especially $MSFT and $AMZN, are racing to develop their own cutting-edge GPUs, as this is their biggest cost in scaling cloud operations. Nvidia knows that if they are allowed to control the supply, it will prolong the upgrade cycles and reduce orders to gain time to develop its own chips. This is why it's providing early access to the neo-clouds that are 100% dependent on Nvidia chips. Hyperscalers know that if they delay orders for the fresh capacity, the demand will shift to the neo-clouds that can build capacity fast with the support of $NVDA. Thus, $NVDA corners hyperscalers and strategically compels them to put new orders and cripples their ability to focus on their own chips. $MSFT sees this and says, "If this is the case, I'll just lease the capacity from the neo-clouds." It's basically a strategic response to $NVDA. It leases the bulk of their capacity, making them dependent on it. So, if $MSFT backs down, they'll have a really hard time staying alive. There is a small window of opportunity here for neo-clouds. If they can scale beyond hyperscalers and form a fragmented customer base, they may keep thriving even if hyperscalers reduce leases. Currently, $NBIS has a better shot at it than $CRWV, as $MSFT already makes up 72% of its revenue. I am long $NBIS, and I have already made 4x of money in the stock. I'll remain long $NBIS and even grow my position, but I'll remain skeptical of $CRWV for its unfavorable strategic position, as I explained above.

$NBIS and $CRWV growing like crazy shouldn't be surprising. Satya Nadella publicly explained 6 months ago on a podcast that $MSFT would be leasing a lot of capacity going forward rather than building all itself. Here is what I think is happening: These neo-cloud businesses, both $NBIS and $CRWV, exist solely because $NVDA wants them to exist. Nvidia has an equity stake in both companies, and they are both members of the Nvidia Partners Program. Nvidia grants early access to its chips to the partners. Nvidia does that because it knows all hyperscalers, especially $MSFT and $AMZN, are racing to develop their own cutting-edge GPUs, as this is their biggest cost in scaling cloud operations. Nvidia knows that if they are allowed to control the supply, it will prolong the upgrade cycles and reduce orders to gain time to develop its own chips. This is why it's providing early access to the neo-clouds that are 100% dependent on Nvidia chips. Hyperscalers know that if they delay orders for the fresh capacity, the demand will shift to the neo-clouds that can build capacity fast with the support of $NVDA. Thus, $NVDA corners hyperscalers and strategically compels them to put new orders and cripples their ability to focus on their own chips. $MSFT sees this and says, "If this is the case, I'll just lease the capacity from the neo-clouds." It's basically a strategic response to $NVDA. It leases the bulk of their capacity, making them dependent on it. So, if $MSFT backs down, they'll have a really hard time staying alive. There is a small window of opportunity here for neo-clouds. If they can scale beyond hyperscalers and form a fragmented customer base, they may keep thriving even if hyperscalers reduce leases. Currently, $NBIS has a better shot at it than $CRWV, as $MSFT already makes up 72% of its revenue. I am long $NBIS, and I have already made 4x of money in the stock. I'll remain long $NBIS and even grow my position, but I'll remain skeptical of $CRWV for its unfavorable strategic position, as I explained above.

Oguz Erkan

180,198 Aufrufe • vor 11 Monaten

🇺🇸🇨🇳 Trump on Nvidia chips and China: "They have a much higher level than H200. China needs it and yeah it came up. They choose not to buy because they want to develop their own. I think something could happen on that." Trump confirmed China wants chips beyond the H200 while simultaneously trying to build its own. That race just got more interesting.

🇺🇸🇨🇳 Trump on Nvidia chips and China: "They have a much higher level than H200. China needs it and yeah it came up. They choose not to buy because they want to develop their own. I think something could happen on that." Trump confirmed China wants chips beyond the H200 while simultaneously trying to build its own. That race just got more interesting.

Mario Nawfal

451,206 Aufrufe • vor 3 Monaten

🔥ED ZITRON: "IF OPENAI FAILS, ORACLE IS IN THE TOILET" Zitron called OpenAI "the Lehman Brothers of AI" and says its collapse would shake the entire market. Oracle's credit rating was downgraded to one level above junk specifically because of its $340 BILLION data center buildout for a company that may never be able to pay. "OpenAI IS the AI bubble. There is not another entity on Earth who can afford to pay for Stargate. No one."

🔥ED ZITRON: "IF OPENAI FAILS, ORACLE IS IN THE TOILET" Zitron called OpenAI "the Lehman Brothers of AI" and says its collapse would shake the entire market. Oracle's credit rating was downgraded to one level above junk specifically because of its $340 BILLION data center buildout for a company that may never be able to pay. "OpenAI IS the AI bubble. There is not another entity on Earth who can afford to pay for Stargate. No one."

Coin Bureau

50,922 Aufrufe • vor 1 Monat

If there is an arborist on here that would be so kind as to opine, I’m wondering if I can save this monkey puzzle tree? We have the machinery to lift it back into place but does it have any chance of surviving or is it finished and should we just log it? I would love to save it if at all possible.

If there is an arborist on here that would be so kind as to opine, I’m wondering if I can save this monkey puzzle tree? We have the machinery to lift it back into place but does it have any chance of surviving or is it finished and should we just log it? I would love to save it if at all possible.

Declan Ganley

34,144 Aufrufe • vor 1 Jahr

Henry Ford's operations manual for the Model T assembly line was among the first of its kind: a single book that detailed every step, process and context an employee would need to know. Every employee was expected to know it inside and out. It was how an entire company stayed on the same page.

Henry Ford's operations manual for the Model T assembly line was among the first of its kind: a single book that detailed every step, process and context an employee would need to know. Every employee was expected to know it inside and out. It was how an entire company stayed on the same page.

Historic Vids

164,075 Aufrufe • vor 1 Monat

NEWS: SpaceX just made its AI space computer 67% more powerful, Elon Musk says The satellite is called AI1. It is basically a data center that floats in space and runs on sunlight instead of the power grid. Musk says its peak power is going up to ~250 kW, from 150 kW. Its average power is going up to 160 kW, from 120 kW. Why the boost. A single Nvidia Rubin NVL72 rack, 72 of Nvidia's newest AI chips, needs that much power to run. The bigger number means one AI1 can now handle a full rack. Musk's reasoning is simple. A GPU running all day uses about two-thirds of its peak power, even when it is very efficient. So the satellite has to be built for the peak. AI1 works with chips from any maker, not just Nvidia. SpaceX has filed to launch up to 1 million of these satellites. (Source: Elon Musk on X, July 16)

NEWS: SpaceX just made its AI space computer 67% more powerful, Elon Musk says The satellite is called AI1. It is basically a data center that floats in space and runs on sunlight instead of the power grid. Musk says its peak power is going up to ~250 kW, from 150 kW. Its average power is going up to 160 kW, from 120 kW. Why the boost. A single Nvidia Rubin NVL72 rack, 72 of Nvidia's newest AI chips, needs that much power to run. The bigger number means one AI1 can now handle a full rack. Musk's reasoning is simple. A GPU running all day uses about two-thirds of its peak power, even when it is very efficient. So the satellite has to be built for the peak. AI1 works with chips from any maker, not just Nvidia. SpaceX has filed to launch up to 1 million of these satellites. (Source: Elon Musk on X, July 16)

Muskonomy

56,507 Aufrufe • vor 1 Monat

We’re seeing massive investment in U.S. manufacturing and innovation. • Apple is increasing its commitment from $500B to $600B to build in America, not just design here. • Micron is investing $200B for production of advanced memory chips. • IBM announced a $150B investment over the next five years. • NVIDIA said it will invest $500B in AI infrastructure. • Softbank, OpenAI, and Oracle are bringing together $500B investment in AI infrastructure. Trillions are coming back, and this is just the beginning.

We’re seeing massive investment in U.S. manufacturing and innovation. • Apple is increasing its commitment from $500B to $600B to build in America, not just design here. • Micron is investing $200B for production of advanced memory chips. • IBM announced a $150B investment over the next five years. • NVIDIA said it will invest $500B in AI infrastructure. • Softbank, OpenAI, and Oracle are bringing together $500B investment in AI infrastructure. Trillions are coming back, and this is just the beginning.

Treasury Secretary Scott Bessent

224,531 Aufrufe • vor 1 Jahr

MEET THE NVIDIA KILLER: OpenAI bet $10 BILLION on this company that makes chips 20x faster than Nvidia's. If this plays out as expected, it’s over for Nvidia. Cerebras Systems just locked in 750 megawatts of computing power to OpenAI through 2028. For reference: that's equivalent to the annual power consumption of 600,000 US homes. The deal? Over $10 billion. Here's what nobody understands: Cerebras doesn't make normal chips. Nvidia sells you thousands of tiny chips that you connect together. Cerebras makes ONE chip. A single wafer-scale processor the size of a dinner plate. 900,000 AI cores. 4 trillion transistors. All on one piece of silicon. The result? When OpenAI tested it, Cerebras ran inference 20X FASTER than Nvidia GPUs. That's not incremental improvement. That's a different category of performance. But here's where the story gets wild: Four months ago, Cerebras was a struggling company. Their IPO filing revealed that 87% of their revenue came from ONE customer: G42, a UAE-based AI firm. The US government launched a national security review. G42 had ties to Huawei. Ties to China. The IPO collapsed. Investors panicked. Cerebras withdrew their filing in October 2025. Most startups would've been dead. Instead, Cerebras did the opposite. They raised $1.1 billion at an $8.1 billion valuation. Kicked G42 out of the cap table entirely. Got CFIUS clearance. Then landed the OpenAI deal. Now they're raising ANOTHER $1 billion at a $22 billion valuation. They more than DOUBLED their valuation in 4 months. From near-death to $22 billion. While getting rid of their biggest customer. Why OpenAI chose them: ChatGPT has 900 million weekly users. Sam Altman keeps saying they have a "severe shortage" of compute. They need SPEED, not just power. When you ask ChatGPT a question, there's a loop happening: You send request → model thinks → sends response back Nvidia chips are fast at training models. Cerebras chips are built specifically for inference. For real-time responses. For the exact bottleneck OpenAI is trying to solve. Sachin Katti from OpenAI said it best: "Cerebras adds a dedicated low-latency inference solution to our platform. That means faster responses, more natural interactions, and a stronger foundation to scale real-time AI to many more people." In other words: "We need this to scale ChatGPT." The competitive landscape just shifted: Nvidia announced a $100 billion deal with OpenAI in September. But it's still not finalized. Meanwhile, Cerebras closed their deal before Thanksgiving. And it's ALREADY being deployed. Here's the part that should terrify Nvidia: In December, Nvidia bought Groq for $20 billion. Groq makes fast inference chips. Just like Cerebras. So why would Nvidia spend $20 billion buying a competitor to something they supposedly already dominate? Because they know what's coming. Inference is the new battleground. And Cerebras is winning it. The IPO is coming Q2 2026. After this OpenAI deal, Cerebras now has: ✓ IBM contracts ✓ Department of Energy contracts ✓ OpenAI locked in for 3 years ✓ $22 billion valuation ✓ CFIUS clearance ✓ Zero customer concentration risk They went from 87% revenue dependency on one customer to the most diversified chip company outside Nvidia. In four months. The lesson? Smart money doesn't follow headlines. It follows where the AI leaders are actually spending. OpenAI didn't announce this deal for publicity. They need Cerebras hardware to scale ChatGPT. That's a $10 billion vote of confidence. While everyone's watching Nvidia stock, the real war is happening in inference. And the company with ONE giant chip just beat the company with thousands of tiny ones. What do you think happens when Cerebras IPOs?

MEET THE NVIDIA KILLER: OpenAI bet $10 BILLION on this company that makes chips 20x faster than Nvidia's. If this plays out as expected, it’s over for Nvidia. Cerebras Systems just locked in 750 megawatts of computing power to OpenAI through 2028. For reference: that's equivalent to the annual power consumption of 600,000 US homes. The deal? Over $10 billion. Here's what nobody understands: Cerebras doesn't make normal chips. Nvidia sells you thousands of tiny chips that you connect together. Cerebras makes ONE chip. A single wafer-scale processor the size of a dinner plate. 900,000 AI cores. 4 trillion transistors. All on one piece of silicon. The result? When OpenAI tested it, Cerebras ran inference 20X FASTER than Nvidia GPUs. That's not incremental improvement. That's a different category of performance. But here's where the story gets wild: Four months ago, Cerebras was a struggling company. Their IPO filing revealed that 87% of their revenue came from ONE customer: G42, a UAE-based AI firm. The US government launched a national security review. G42 had ties to Huawei. Ties to China. The IPO collapsed. Investors panicked. Cerebras withdrew their filing in October 2025. Most startups would've been dead. Instead, Cerebras did the opposite. They raised $1.1 billion at an $8.1 billion valuation. Kicked G42 out of the cap table entirely. Got CFIUS clearance. Then landed the OpenAI deal. Now they're raising ANOTHER $1 billion at a $22 billion valuation. They more than DOUBLED their valuation in 4 months. From near-death to $22 billion. While getting rid of their biggest customer. Why OpenAI chose them: ChatGPT has 900 million weekly users. Sam Altman keeps saying they have a "severe shortage" of compute. They need SPEED, not just power. When you ask ChatGPT a question, there's a loop happening: You send request → model thinks → sends response back Nvidia chips are fast at training models. Cerebras chips are built specifically for inference. For real-time responses. For the exact bottleneck OpenAI is trying to solve. Sachin Katti from OpenAI said it best: "Cerebras adds a dedicated low-latency inference solution to our platform. That means faster responses, more natural interactions, and a stronger foundation to scale real-time AI to many more people." In other words: "We need this to scale ChatGPT." The competitive landscape just shifted: Nvidia announced a $100 billion deal with OpenAI in September. But it's still not finalized. Meanwhile, Cerebras closed their deal before Thanksgiving. And it's ALREADY being deployed. Here's the part that should terrify Nvidia: In December, Nvidia bought Groq for $20 billion. Groq makes fast inference chips. Just like Cerebras. So why would Nvidia spend $20 billion buying a competitor to something they supposedly already dominate? Because they know what's coming. Inference is the new battleground. And Cerebras is winning it. The IPO is coming Q2 2026. After this OpenAI deal, Cerebras now has: ✓ IBM contracts ✓ Department of Energy contracts ✓ OpenAI locked in for 3 years ✓ $22 billion valuation ✓ CFIUS clearance ✓ Zero customer concentration risk They went from 87% revenue dependency on one customer to the most diversified chip company outside Nvidia. In four months. The lesson? Smart money doesn't follow headlines. It follows where the AI leaders are actually spending. OpenAI didn't announce this deal for publicity. They need Cerebras hardware to scale ChatGPT. That's a $10 billion vote of confidence. While everyone's watching Nvidia stock, the real war is happening in inference. And the company with ONE giant chip just beat the company with thousands of tiny ones. What do you think happens when Cerebras IPOs?

Ricardo

28,088 Aufrufe • vor 7 Monaten

I like to own the infrastructure as well as the assets. If you're gonna own Bitcoin, back then, why wouldn't you own the entity that mines Bitcoin? But really, Bitzero, has changed so much since my original investment. It's a power company. It's agnostic to who uses its power. You can mine Bitcoin, you can mine Ethereum, or you can build a data center, or build an AI compute. It doesn't matter. They're a power real estate company, and you don't have to guess the winners and losers in AI anymore. You're not going anywhere without power. All roads lead to Bitzero.

I like to own the infrastructure as well as the assets. If you're gonna own Bitcoin, back then, why wouldn't you own the entity that mines Bitcoin? But really, Bitzero, has changed so much since my original investment. It's a power company. It's agnostic to who uses its power. You can mine Bitcoin, you can mine Ethereum, or you can build a data center, or build an AI compute. It doesn't matter. They're a power real estate company, and you don't have to guess the winners and losers in AI anymore. You're not going anywhere without power. All roads lead to Bitzero.

Kevin O'Leary aka Mr. Wonderful

25,230 Aufrufe • vor 9 Monaten

🚨 WARNING: NVIDIA x ELON MUSK DEAL IS BUILT ON FAKE NUMBERS!! Michael Burry published an analysis calling the structure “Fugazi”, meaning fake. If the structure is real, we could be heading for a COLLAPSE: He is alleging that BILLIONS of dollars in Nvidia chips are being hidden off balance sheets, and that American retirees are unknowingly funding the whole thing. Nvidia, the world's largest AI chip company sold $5.4 BILLION worth of its most advanced GPUs, the GB200, to a company called Valor. Valor is not a real operating business. It is a special purpose vehicle, a shell company created specifically to hold these chips and nothing else. Nvidia also invested $1.9 BILLION of its own money directly into Valor on top of the sale. Those 100,000+ chips are now physically inside xAI's data center. xAI is Elon Musk's artificial intelligence company, the one that builds Grok. xAI is using every single one of those chips right now to run its AI models. But here is what Burry is flagging. Neither Nvidia nor xAI owns those chips on paper. Valor, the shell company holds legal title. That means $5.4 BILLION in GPU assets do not show up on Nvidia's balance sheet as inventory. They do not show up on xAI's balance sheet as assets. They are legally invisible to both companies. Nvidia gets to book the $5.4 BILLION as a completed sale and record it as revenue. xAI gets full use of the chips without owning them. And the risk disappears into a shell company in the middle. Now here is where American retirees enter the picture. Valor needed $3.5 BILLION in debt to fund this structure. Apollo provided it. Apollo is one of the largest asset managers on earth with $1.03 TRILLION under management and $834 BILLION specifically in private credit. Apollo raised the $3.5 BILLION, packaged it into debt securities, and sold those securities to Athene. Athene is Apollo's own insurance company. It sells fixed and indexed annuities, retirement savings products, to ordinary Americans. When a retiree buys an Athene annuity, they believe their money is sitting in safe, stable investments. That money is now inside a structure funding Elon Musk's AI data center. The numbers inside Athene are most alarming. Athene holds $74.2 BILLION in reserves. It has moved $217 BILLION in assets into a captive insurer based in Bermuda, meaning those assets sit outside normal US insurance regulation and oversight. Of the entire portfolio, 34.7%, equal to $103 BILLION, is classified as Level 3 assets. Level 3 is an accounting classification that means there is no observable market price for these assets. No outside party can independently verify what they are actually worth. The leverage sitting on top of those unpriced assets is 16 times. Burry's says: Every step of this structure is technically legal and publicly disclosed. But the entire thing was deliberately engineered across 8 to 12 steps to move credit risk off balance sheets and away from any market pricing. Nvidia books the revenue. Apollo collects the fees. xAI gets the computing power. And retirees sitting at the bottom of a 16x leveraged Bermuda insurance structure, holding $103 BILLION in assets with no market price carry the risk without knowing it exists. I’ve been in finance for more than 15 years. When I EXIT the markets completely, I’ll say it here publicly, like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

🚨 WARNING: NVIDIA x ELON MUSK DEAL IS BUILT ON FAKE NUMBERS!! Michael Burry published an analysis calling the structure “Fugazi”, meaning fake. If the structure is real, we could be heading for a COLLAPSE: He is alleging that BILLIONS of dollars in Nvidia chips are being hidden off balance sheets, and that American retirees are unknowingly funding the whole thing. Nvidia, the world's largest AI chip company sold $5.4 BILLION worth of its most advanced GPUs, the GB200, to a company called Valor. Valor is not a real operating business. It is a special purpose vehicle, a shell company created specifically to hold these chips and nothing else. Nvidia also invested $1.9 BILLION of its own money directly into Valor on top of the sale. Those 100,000+ chips are now physically inside xAI's data center. xAI is Elon Musk's artificial intelligence company, the one that builds Grok. xAI is using every single one of those chips right now to run its AI models. But here is what Burry is flagging. Neither Nvidia nor xAI owns those chips on paper. Valor, the shell company holds legal title. That means $5.4 BILLION in GPU assets do not show up on Nvidia's balance sheet as inventory. They do not show up on xAI's balance sheet as assets. They are legally invisible to both companies. Nvidia gets to book the $5.4 BILLION as a completed sale and record it as revenue. xAI gets full use of the chips without owning them. And the risk disappears into a shell company in the middle. Now here is where American retirees enter the picture. Valor needed $3.5 BILLION in debt to fund this structure. Apollo provided it. Apollo is one of the largest asset managers on earth with $1.03 TRILLION under management and $834 BILLION specifically in private credit. Apollo raised the $3.5 BILLION, packaged it into debt securities, and sold those securities to Athene. Athene is Apollo's own insurance company. It sells fixed and indexed annuities, retirement savings products, to ordinary Americans. When a retiree buys an Athene annuity, they believe their money is sitting in safe, stable investments. That money is now inside a structure funding Elon Musk's AI data center. The numbers inside Athene are most alarming. Athene holds $74.2 BILLION in reserves. It has moved $217 BILLION in assets into a captive insurer based in Bermuda, meaning those assets sit outside normal US insurance regulation and oversight. Of the entire portfolio, 34.7%, equal to $103 BILLION, is classified as Level 3 assets. Level 3 is an accounting classification that means there is no observable market price for these assets. No outside party can independently verify what they are actually worth. The leverage sitting on top of those unpriced assets is 16 times. Burry's says: Every step of this structure is technically legal and publicly disclosed. But the entire thing was deliberately engineered across 8 to 12 steps to move credit risk off balance sheets and away from any market pricing. Nvidia books the revenue. Apollo collects the fees. xAI gets the computing power. And retirees sitting at the bottom of a 16x leveraged Bermuda insurance structure, holding $103 BILLION in assets with no market price carry the risk without knowing it exists. I’ve been in finance for more than 15 years. When I EXIT the markets completely, I’ll say it here publicly, like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

WhaleTwits

48,759 Aufrufe • vor 3 Monaten