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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,...

162,581 просмотров • 6 месяцев назад •via X (Twitter)

Комментарии: 33

Фото профиля Pranav
Pranav6 месяцев назад

the part most people miss: Nvidia isn't just selling GPUs. they're financing the entire AI infrastructure buildout. they invest in their customers (CoreWeave, Lambda, etc.), those customers buy more GPUs, Nvidia books the revenue, generates more cash, reinvests again. it's a flywheel with $97B in free cash flow powering it. but here's why it probably works: the end demand is real. every hyperscaler is spending $60-100B this year on AI infrastructure. sovereign nations are building their own compute. total global AI capex is heading toward $690B+. Nvidia found a way to accelerate demand for their own product by funding the buyers. genius or fragile depends on whether AI workloads keep growing. so far every quarter the demand curve gets steeper.

Фото профиля Jeff Farmer
Jeff Farmer6 месяцев назад

Everything Nvidia touched turned into gold. While NVDA is seriously undervalued with PEG ratio about 0.7-0.8 I dont know how long the market maker can keep suppressing, $300 $NVDA traded below $200 for 9+ month is just amazing.

Фото профиля Tal Badani
Tal Badani6 месяцев назад

Wild. That's how you fuel an entire ecosystem and build unstoppable momentum in AI. Distribution on another level.

Фото профиля TraderZ
TraderZ6 месяцев назад

Bears are wrong.

Фото профиля Jose Adolph
Jose Adolph6 месяцев назад

The subprime analogy is unfair: there is nothing subprime with the invested companies. I see more like an ecosystem acceleration path in a period where Nvidia stock was (undeservedly) plain. Granted, if AI doesn't deliver, the whole ecosystem will be considered a scam.

Фото профиля xiao xia
xiao xia6 месяцев назад

笑死了 有什么不对的吗?任人不唯亲? 不投资自己的生态?难道投资自己的竞争对手?

Фото профиля Rob Meder
Rob Meder6 месяцев назад

People are so dumb. THIS is the bull case: *Alphabet and Amazon generated “other income” totaling $53 billion in Q1, or ~60% of their Q1 income. $49 billion was due to equity stakes in private companies. Nvidia and the others are going to win the next 20 years too BECAUSE of this

Фото профиля App Launcher
App Launcher6 месяцев назад

Nvidia funding its own customers is the textbook definition of vendor financing risk. The dot com era ended on similar circular revenue. Calling it a 'moat' before the unwind is wishful framing.

Фото профиля 舵主陈老大 | FWA Club
舵主陈老大 | FWA Club6 месяцев назад

我的策略计划! $NVDA $SNDK $MU

Фото профиля Nick B
Nick B6 месяцев назад

This is an historic Moat .. AI thru 2035. NVDA goes to $350 easily …

Фото профиля El Profesor Garlic 🧄🤖⚡️🚘🔋📡🛰️🇺🇸🚀🟠
El Profesor Garlic 🧄🤖⚡️🚘🔋📡🛰️🇺🇸🚀🟠6 месяцев назад

The risks are high for this AI infrastructure built and $NVDA needs to ensure there’s no weak links between the ecosystem. If the revenue stream doesn’t continue to the big capex spenders, then the defaults may happen. The the house of cards collapse 🤔

Фото профиля Perseverance
Perseverance6 месяцев назад

@grok summary this to me as if was a ceo ; 10 bullet points and graphs ; whatever needs to be used to explain with detail

Фото профиля Christian Soschner
Christian Soschner6 месяцев назад

Listen to Dario Amadeis latest speeches and pod. Then you understand why. When the Datacenter users grow their revenue by 80x - that’s real demand. Jensen reinvests into this demand driven supply chain. As does Alphabet.

Фото профиля Black Panda Crypto🐼
Black Panda Crypto🐼6 месяцев назад

What Nvidia is doing is either genius capitalism or the early stages of a very dangerous feedback loop. Maybe both. The bullish interpretation is actually incredibly compelling: Jensen realized AI isn’t just about selling chips. It’s about controlling the entire ecosystem. If you finance the builders, the cloud providers, the networking companies and the infrastructure layer, you guarantee demand for your own hardware for years. It’s similar to what Standard Oil did with oil infrastructure or what Apple did with its closed ecosystem — except at AI scale. And to be fair, many of these investments are real businesses with exploding demand. Data centers, fiber optics, AI clouds and compute infrastructure ARE genuinely needed. AI is consuming power, networking and compute at historic levels. But the bear case is where things get uncomfortable. If Nvidia funds companies that then spend billions buying Nvidia hardware, revenue quality becomes harder to analyze. Capital starts circulating within the same ecosystem and can artificially amplify growth signals. That doesn’t automatically mean fraud or a bubble. But it DOES create reflexivity: Higher Nvidia stock → more capital → more investments → more Nvidia purchases → higher revenues → higher stock. As long as AI demand keeps growing exponentially, this machine looks unstoppable. The danger appears if AI spending slows, if model economics disappoint, or if one major domino fails. Suddenly the ecosystem becomes interconnected in reverse. The same loop that amplified growth can amplify contraction. What makes this historic is the scale. Nvidia is no longer acting like a normal semiconductor company. It’s becoming part chipmaker, part infrastructure bank, part venture capital empire and part geopolitical asset. And honestly? That may be exactly what the AI era requires.

Фото профиля EDF Hobbies
EDF Hobbies6 месяцев назад

"The piece maps how capital flows between the same handful of companies and gets counted as revenue multiple times along the way." It also gets counted as demand and that demand isn't organic from paying customers it's from the circular finance crew and that could end any day

Фото профиля Diii
Diii6 месяцев назад

@Stefano_Peron Solid.... if Nvidia just keep producing cash flows from 3rd party vustomers, it is derisking the tails of the curve

Фото профиля Techificial.ai
Techificial.ai6 месяцев назад

What I can see is that NVIDIA is financing the entire AI economy around its own hardware, and that’s the part most people are underestimating right now. The companies that are building AI models, AI clouds, data centers, networking, and infrastructure are all connected through NVIDIA’s money and chips at the same time. What makes this interesting to me is that both arguments are true. On one side, Jensen looks like he’s building one of the strongest long-term ecosystem strategies the tech world has ever seen. On the other side, it also creates a world where the entire AI wave depends on a small group of companies that trust, spend, and grow together, @Ric_RTP.

Фото профиля WJG-GMT
WJG-GMT6 месяцев назад

All poised to unwind. It’s akin to financing Escalades for the unemployed

Фото профиля Adam
Adam6 месяцев назад

So $NVDA invests 100B in open ai Open ai uses it to buy $100 b in chips NVDA book at 75% margins When any equity steal gets written day in say 28’ - we see non operating other and gets little coverage Same dollar but dif line items / dif multiples. This isn’t just vendor financing with better optics ?

Фото профиля Timon Zimmermann
Timon Zimmermann6 месяцев назад

funny how every moat starts looking like a feedback loop at this scale

Фото профиля Frälsaren
Frälsaren6 месяцев назад

They haven’t invested in IREN? Miss information. They have the opportunity, but haven’t yet

Фото профиля ing. Grace Kakiay MSc, MBA
ing. Grace Kakiay MSc, MBA6 месяцев назад

NVidia is so smart. Incredible.

Фото профиля 0xMetaLabs
0xMetaLabs6 месяцев назад

People compare Nvidia to Cisco, Intel, or even Standard Oil. But this structure looks closer to SoftBank fused with TSMC. A chip company using its balance sheet to accelerate ecosystem dependency while simultaneously monetizing every layer of the stack built around it.

Фото профиля Susan Coia Gailey
Susan Coia Gailey6 месяцев назад

Market share investing

Фото профиля AI Mastery Guide
AI Mastery Guide6 месяцев назад

Investing in your own customers and calling it ecosystem development is either genius or the biggest house of cards in tech history, probably both

Фото профиля Gabriel Osorio-Mazzilli
Gabriel Osorio-Mazzilli6 месяцев назад

Here’s how that domino falls

Фото профиля NFAdancer777
NFAdancer7776 месяцев назад

@grok

Фото профиля —Change
—Change6 месяцев назад

This 40 billion yuan has tied the entire AI supply chain to itself. Currently, the world's top AI companies, optical module manufacturers, and data centers all rely on his checks for survival. Huang isn't betting on the future of AI; he's betting on...

Фото профиля The crypto monetarist
The crypto monetarist6 месяцев назад

isn't this similar to vertical integration?

Фото профиля AI Automation Mastery
AI Automation Mastery6 месяцев назад

They put it in their own SEC filing and nobody blinked, that level of confidence is either visionary or terrifying

Фото профиля Lindy707
Lindy7076 месяцев назад

It’s what makes the economy work, I know it’s strange, but they trade money back-and-forth so to speak it creates income or investment which gives power and growth to the companies

Фото профиля ANDREW SKYZ 🏦
ANDREW SKYZ 🏦6 месяцев назад

This makes sense when you consider inference time. Agents do not just predict the next token; they reason through loops. 1000x more compute is the price of moving from "chat" to "do." 🚀🚀🚀🌙🌙🌙

Фото профиля TannerStarStone 🇺🇸
TannerStarStone 🇺🇸6 месяцев назад

Google did it at scale first. Their venture returns are probably the best in the business

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Ricardo

224,354 просмотров • 10 месяцев назад

🚨 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 просмотров • 5 месяцев назад

NVIDIA IS BUYING ITS OWN CHIPS AND CALLING IT REVENUE And your retirement account is secretly holding the bag. This scheme is literally straight out of the Enron playbook... In January 2026, a special purpose vehicle called Valor Compute Infrastructure was created with one purpose: Buy Nvidia's chips so Nvidia could book the sale as revenue. Valor raised $5.4 billion and purchased over 100,000 of Nvidia's GB200 GPUs. But $1.9 billion of that money came FROM Nvidia itself. Nvidia invested $1.9 billion into the shell company, then sold that same shell company $5.4 billion worth of its own chips and booked every dollar as revenue. It's the Girl Scout whose dad bought all the cookies and then she wins the sales contest because Dad was the customer. Except this Girl Scout is a trillion-dollar company and the cookie sale is $5.4 billion. But it gets MUCH worse: The remaining $3.5 billion in financing came from Apollo Global Management. Apollo structured the debt, packaged it into securities, and then sold those securities to Athene. And guess who Athene is? Apollo's OWN insurance subsidiary. The one that sells fixed annuities to American retirees as safe, conservative retirement products. Follow the chain: Nvidia funds a shell company with $1.9 billion. The shell company buys $5.4 billion in Nvidia chips. Apollo finances the remaining $3.5 billion. Apollo sells the debt to its own insurance arm. That insurance arm packages it into annuity products and sells them to retirees who think they're buying something safe. The retirees have no idea that their retirement savings are now backed by 100,000 computer chips sitting in some data center that will be worth pennies on the dollar in three years. Now look at what's happening inside Athene: $74.2 billion in US reserves but $217 billion in assets have been shifted to a Bermuda-based captive insurer, outside normal US regulatory oversight. $103 billion of that portfolio (roughly 35%) is classified as Level 3 assets. That means there is no observable market price. These assets are valued by internal models, not by actual markets. And sitting on top of all those unpriced assets? 16.6x leverage. If you're getting flashbacks to 2008, you should be. Back then it was mortgages bundled into securities that nobody understood, sold to investors who had no idea what they were holding, rated as safe by agencies that never looked under the hood. Today it's GPU-backed securities. Computer chips bundled into structured credit instruments, routed through an offshore insurance subsidiary, and sold to you as a retirement product. The collateral is 100,000 GPUs leased to a single customer through an xAI subsidiary. If xAI stops making lease payments for any reason - financial distress, a pivot in strategy, anything - the entire structure unravels. And Nvidia releases new architectures every year, so each generation delivers dramatically more compute per watt. A 5 year lease on technology that's obsolete in 2 years creates a mismatch that should terrify every annuity holder in America. Every single step in this chain is technically legal. The SPV is legal, the lease is legal, Nvidia's equity stake is legal, the securitization is legal, and the Bermuda transfer is legal. But legality and legitimacy are not the same thing. I've seen every trick Wall Street has ever pulled in my 45 years of doing this. And what I'm looking at right now is a pipeline that takes AI infrastructure risk, launders it through 8 layers of financial engineering, and deposits it in the retirement accounts of Americans who never agreed to fund Elon Musk's data centers. In 2008 it was mortgage-backed securities. In 2026 it's GPU-backed securities. Different asset. Same greed. With the same ending.

George Noble

601,125 просмотров • 5 месяцев назад

In 45 years on Wall Street, I've never seen anything like this. Sam Altman just convinced 3 of the world's smartest investors to fund his losses. $110 billion. But ZERO profit in sight. The largest private funding round in history. Let me explain why this is borderline criminal & what you have to understand as an investor: Amazon. Nvidia. SoftBank. 3 of the world's most sophisticated investors just handed OpenAI $110 billion at an $840 billion valuation. That's more than double the $40 billion OpenAI raised last year. For context: all US venture capital combined invested $170 billion into American startups in all of 2023. Altman just raised 65% of that. Alone. In one round. And the company STILL isn't profitable. Let's look at the actual numbers: OpenAI burned $8 billion in 2025. They project burning $17 billion in 2026. $35 billion in 2027. $47 billion in 2028. Cumulative losses before any projected path to profitability: over $115 billion. Meanwhile, Amazon's $50 billion comes with strings attached. $35 billion is contingent on OpenAI either achieving AGI or completing its IPO by year end. Read that again. $35 billion is conditioned on ACHIEVING AGI. They're literally writing checks against a scientific breakthrough that may not happen on any predictable timeline. This is what peak cycle financing looks like. The circular logic every investor should understand: Amazon invests $50 billion in OpenAI. OpenAI commits to spending $100 billion on Amazon Web Services. Nvidia invests $30 billion. OpenAI commits to buying 3 gigawatts of Nvidia compute. These aren't arms-length investments. They're vendor financing dressed up as venture capital. Amazon and Nvidia are essentially paying OpenAI to buy their own products. The $840 billion valuation prices in a future that doesn't exist yet. At $13 billion in 2025 revenue, that's 65x revenue. Even in 2021 - the most speculative bubble in recent tech history - Snowflake peaked at 50-80x revenue. And Snowflake was actually profitable. J.P. Morgan calculates that the AI industry needs $650 billion in annual revenue just to generate a 10% return on total infrastructure buildout. The entire industry currently generates a fraction of that. I've seen cycles my entire 45-year career. The 1980s defense build-up. The dot-com bubble. The 2008 mortgage machine. The pattern is always the same: When the biggest players start financing each other's growth through circular investment structures, you're not witnessing a revolution... You're watching the LAST PHASE of a credit cycle. Amazon CEO Andy Jassy said OpenAI is going to be "one of the very big winners long term." Maybe. But $840 billion assumes they've already won. Stock prices follow earnings. Always have. Always will. And right now, OpenAI's earnings are deeply, structurally, massively negative. The IPO is coming. The hype will peak. And the question every serious investor needs to answer is simple: At what price does this actually make sense? Sam Altman doesn’t know either - he just keeps raising money faster than he can burn it. This can’t end well.

George Noble

1,198,883 просмотров • 8 месяцев назад

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 просмотров • 9 месяцев назад

BREAKING: Michael Burry just compared Nvidia to the company that lost 90% of its value in the dot-com crash and took 25 years to recover. "I stand by my analysis. I am not claiming Nvidia is Enron. It is clearly Cisco." Here's the most recent warning from the investor who called the 2008 crash: Michael Burry built his reputation on one trade. He saw the housing market collapse before anyone else and bet against it. "The Big Short" made him famous. Now he's looking at Nvidia. And he says it looks like Cisco in March 2000. That comparison is not a casual insult. Cisco was the most valuable company in the world at the peak of the dot-com bubble. Its valuation crossed $500 billion. Then the bubble burst. The stock fell roughly 90% from its 2000 peak. Its market cap collapsed to about $60 billion by 2002. And it took roughly 25 years for the stock to climb back to where it started. An entire generation of investors waited a quarter century just to break even. That is the company Burry is comparing Nvidia to. Now here is the number that triggered the warning. In Nvidia's fiscal 2026 results, the company disclosed its purchase obligations. These are the commitments Nvidia makes to its suppliers to lock in future manufacturing capacity. A year ago, that figure sat at $16.1 billion. This year it jumped to $95.2 billion. Total supply obligations now sit at roughly $117 billion. Nvidia is committing $117 billion to build capacity for demand that has not arrived yet. Burry's argument is simple. A company does not lock in $117 billion in supplier commitments unless it is betting the demand keeps climbing. If that demand slows even slightly, Nvidia is holding billions in obligations it cannot unwind. And that is exactly what happened to Cisco. Cisco overcommitted to supplier capacity expecting roughly 50% annual growth. Then tech spending slowed. The inventory piled up. The stock cratered. Burry is not calling Nvidia a fraud. He is not saying it is the next Enron. He is saying it could be the market's Cisco. The single stock that becomes the symbol of an AI spending unwind that drags everything down with it. And the dot-com comparison carries weight because of what happened to the broader market. When that bubble burst, the Nasdaq 100 fell 77%. The S&P 500 dropped 49%. It was not just one stock. It was the whole market. Now here is the other side of the argument. Nvidia's supporters say the Cisco comparison is too simple. Because Cisco was riding hype. Nvidia is riding actual revenue. Nvidia reported fiscal 2026 revenue of $215.9 billion, up 65% year over year. Data center revenue alone hit roughly $193.7 billion, up 68%. Record quarterly data center revenue of $62.3 billion in the fourth quarter, up 75%. These are not promises. These are realized sales, booked and collected. The bulls argue that pricing power and margins this strong do not exist inside a pure bubble. In their view, Burry is warning about a future slowdown that has not shown up in a single quarterly report. So the debate splits into two clean halves. The bears say the $117 billion in commitments makes Nvidia dangerously sensitive to any demand slowdown. The bulls say the revenue is real, the growth is accelerating, and the buildout is justified by the orders already on the books. Both sides are looking at the same company. Both sides are looking at the same numbers. They just disagree on what those numbers mean. And there is a second force pulling at this market that has nothing to do with Nvidia's earnings. A wave of mega-IPOs is reportedly coming. SpaceX. OpenAI. Anthropic. Some estimates suggest the market may need to absorb close to $200 billion in fresh equity supply. That creates a quieter question underneath the Burry debate. Even if AI demand stays strong, capital is finite. When the next wave of private giants goes public, money has to come from somewhere. And the easiest place to pull it from is the stock that already tripled. The real test is not whether Burry is right or wrong today. It is whether demand growth, margins, and contract utilization keep matching the $117 billion that Nvidia and its entire ecosystem are committing right now. If the demand keeps climbing, the commitments look like foresight. If it stalls, they look like Cisco. The man who saw the last crash before anyone else just put a name on the risk. A company that was once worth over $500 billion, then lost 90%, then made its investors wait 25 years to get back to even. The numbers say Nvidia is booking record revenue. The same numbers say Nvidia is committing $117 billion to a future nobody can see. One of those facts ages well. The other one is the entire question.

Insider Trackers

285,525 просмотров • 5 месяцев назад

Jensen Huang is investing in every photonics company he can find and the reason why tells you everything about where AI is headed (Save this). Lip-Bu Tan, the CEO of Intel says, when he looks for investment opportunities, he looks for the bottleneck and right now, the bottleneck is the interconnect, the pipes that move data between chips inside an AI data center. That is why he backed Credo Semiconductor, Astera Labs and Celestial AI on the optical side. Here is the simple version of what the interconnect bottleneck actually means. Think of an AI data center like a city, the GPUs are the buildings where all the work happens but for those buildings to function, you need roads connecting them, fast roads that can carry enormous traffic without congestion. And those roads are now the single biggest constraint on AI performance. As clusters scale to hundreds of thousands of GPUs, traditional copper wiring is hitting its physical limits and that is where this entire sector comes in. Credo Semiconductor (CRDO) is the most direct pure play on this theme, Credo makes high speed cables and optical chips that connect GPUs inside data center racks. Their revenue tripled in fiscal 2026 to $1.3 billion, growing 272% year over year at its peak and four of the world's largest hyperscalers each individually account for more than 10% of Credo's revenue. Astera Labs (ALAB) solves the connection problem between different chip types. Astera makes the PCIe and connectivity chips that manage data flow between GPUs, CPUs, and memory without errors or slowdowns. Their revenue grew 93% year over year to $308 million in Q1 2026 alone. The optical companies are where the longer-term and potentially larger opportunity lives. Copper has physical limits, you can only push electrical signals so far before the signal degrades, the heat spikes and power consumption explodes. The solution is light, fiber optic connections that move data using photons instead of electrons which is faster, cooler and far more energy efficient. Jensen Huang made this clear at Computex 2026 because copper works as long as physically possible but at greater distances and larger scale, optics takes over. Coherent (COHR) is the most established optical company in this space. Coherent makes the lasers, transceivers, and optical components at the foundation of all fiber optic communications. Nvidia signed a multibillion-dollar purchase commitment and invested $2 billion directly into the company and their customer order books are already extending out to 2028. Marvell (MRVL) is the most comprehensive bet across the entire connectivity stack. Marvell makes chips for optical networking, PCIe switching and custom AI silicon. Jensen Huang called Marvell the next trillion dollar company at Computex 2026 and backed it with a $2 billion Nvidia investment. Marvell also acquired Celestial AI, the exact company Lip-Bu Tan backed for $3.25 billion, gaining photonic fabric technology delivering 16 terabits per second of bandwidth. Lumentum (LITE), Corning (GLW), and Ciena (CIEN) round out the major public names. Lumentum received a $2 billion Nvidia investment for laser and photonics components. Corning known mostly for phone glass received $500 million from Nvidia for optical connectivity work and is up over 100% year to date. Ciena runs the optical networking systems between data centers and is seeing analyst price targets raised on the back of the AI optics boom. Every time a hyperscaler spends a billion dollars on Nvidia GPUs, the surrounding infrastructure, cables, switches, transceivers, optical components has to be upgraded to match. The smarter the GPU gets, the more the interconnect matters. Nvidia has committed at least $6.5 billion to photonics companies in the past 4 months alone and the companies building the roads between the GPUs may end up being just as valuable as the companies building the GPUs themselves. Follow me Melvin for more AI, semis and the next big market themes.

Melvin

153,158 просмотров • 4 месяцев назад

SoftBank just sold its entire $5.83 billion Nvidia stake and if anything this move is actually a bull case for AI. Son needs $30 billion in cash this quarter to fund OpenAI, Ampere Computing, and Stargate infrastructure, plus a bunch of other AI bets. Nvidia was generating paper gains but zero liquidity. When you need that much cash deployed immediately, you liquidate positions that can move the needle.​ Son's not saying semiconductors are broken. He's saying the bigger returns are in the layer above the chips, the AI models, applications, and infrastructure that actually use Nvidia's GPUs. OpenAI, not Nvidia, is where he thinks the profit pool sits. That's a strategic bet on where value concentrates, not a bearish call on chip makers.​ This is actually a pattern. Son bought Nvidia in 2017 and sold in January 2019 (right before generative AI took off). People always say look at the gains he missed. But they ignore that he deployed that capital into PayPay, Coupang, and other companies. We see the same pattern here. He's trying to make the best use of his capital to make more bets and the portfolio returns validate that strategy.​ Son is also hedging his AI bet. Instead of staying concentrated in semiconductors, he's diversifying across the entire software and infrastructure layer. That's defensive positioning. It signals he's starting to think AI valuations might be a bit stretched, so he's spreading risk across more beneficiaries instead of leaning on one horse.​ Son's also optimizing for portfolio returns, not for holding the single best stock. He liquidates Nvidia to deploy capital into higher conviction bets where he thinks the actual value creation happens.

StockMarket.News

317,998 просмотров • 1 год назад