Loading video...

Video Failed to Load

Go Home

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...

15,665 views • 4 months ago •via X (Twitter)

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Gabe on why he doesn't think Anthropic or OpenAI will own finance: "The reason people get confused when they look at app layer businesses like mine or Harvey or Legora or Sierra is because there's a spectrum of perpendicularity to what the labs are building. There's a whole bunch of stuff underneath the surface that the labs are never going to build, that we need to build for finance. All of finance is a collection of different niches with different data sets, different regulatory requirements. And we can get to $5 billion in revenue by going deep across those things and creating the systems of record that help manage them. That for Anthropic would be like stopping on the side of the road to pick up a penny, because they're on the pathway of trying to go from $100 billion in revenue to a trillion in revenue. Say you are a big public company buying another big public company and you need to send data back and forth. You actually need some sort of data room, something that is compliant, safe and secure. And I don't think OpenAI or Anthropic will ever want to build a data room business. If you actually want to be the exchange for all of high finance, you don't just need to own the intelligence, you need to own the transaction venue, the communication venue, the workflows, and all the data inputs that go into it. Think about the fundamental difference between Claude Code when it came out versus ChatGPT. The models were actually fairly similar, but the harness and the way that it was presented from Claude was far better. The way that you harness these models is so, so important."

Patrick OShaughnessy

85,548 views • 1 month ago

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

64,411 views • 2 months ago

Wall Street just pulled off the exact move that turned 2008 from a housing problem into a global collapse. They turned Nvidia graphics cards into bonds, stamped them investment grade, and started selling them into the funds that hold retirement money. Here is what happened while everyone was busy arguing about whether AI stocks were overvalued: The company at the center is CoreWeave, which rents out Nvidia chips to AI companies. To buy those chips, it borrows enormous sums, and the collateral on the loans is the chips themselves. That alone is alarming because a graphics card LOSES most of its value within a few years as the next generation makes it obsolete. You are lending against an asset built to rot. In January, Nvidia invested $2 billion straight into CoreWeave, which then used borrowed money to buy more Nvidia chips. On March 31, CoreWeave closed an $8.5 billion loan backed by its chips, and for the first time the rating agencies stamped that chip-backed debt investment grade, with Moody's assigning it an A3. Debt secured by depreciating graphics cards was rated nearly as SAFE as a blue-chip corporate bond. Then on May 18, CoreWeave closed the first chip-backed facility designed to be publicly syndicated and traded on secondary markets. And that's the part that really matters because it means this debt can now be sliced up, passed around, and bought by anyone, including the bond funds and pension managers who are required to hold "safe" investment-grade paper. On June 11, it announced another $3.5 billion in bonds on top of all of it. Now compare this to what happened in the past: Subprime mortgages in 2007 were not dangerous because some people got loans they couldn't repay... They became a global bomb the moment that debt got rated AAA and sold into the wider financial system, because the rating is what let it bleed into money market funds, pensions, and bank balance sheets that were supposed to be boring and safe. The bad loans were the spark but the packaging and rating were the detonator. And that detonator just got built for AI. Debt backed by graphics cards is now rated investment grade and trades on secondary markets, which means the AI bubble is no longer trapped inside tech stocks you can choose not to own. It has been quietly converted into bonds and routed toward the retirement accounts of people who have never typed a single prompt in their lives. And the whole structure rests on a backlog of customer "commitments" that CoreWeave values at nearly $100 BILLION, backed by a $21 billion Meta deal and a $6 billion Jane Street deal. Those are promises to pay over many years, made by AI companies that are themselves mostly unprofitable and burning cash. If even a few of those customers slow down or walk away, the collateral sitting under all this rated debt is a warehouse of chips losing value by the month. The AI bubble used to be a stock-market story you could opt out of. But as of this spring, that isn't the case anymore. So here's the real question: When the people packaging this debt swear to you that it's safe, who do you think is standing on the other side of that trade?

Ricardo

212,622 views • 4 months ago