The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 142 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 4 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Huang: AI inference compute is about to increase by a billion times
“It's about to go up by a billion times.”
Baker: NVIDIA can become a top cloud computing company faster than expected
“I think Nvidia can join the frontier and become one of the world's largest cloud computing companies. Much faster than people think.”
Huang: Risk of an AI Compute Glut Is Extremely Low Until Transition Completes
“Until we fully Convert all general purpose computing to accelerated computing and AI until we do that. I think the chances are extremely low.”
Huang: $5 trillion annual global AI infrastructure CapEx is economically plausible
“So if you told me that on an annual basis, the CapEx of the world was about five trillion dollars, I would say the math seems to make sense.”
Huang: Inference Compute Demand Will Surge One Billion Times
“It's about to go up by a billion times.”
Gerstner: Jensen Huang plans to triple Nvidia's size using AI agents
“He said, Brad, I'm going to three X the company and our headcount may not grow or only grow a little bit. And I said, how? He said, because I'm going to have agents who are reporting to me. I'm not going to have employees who are.”
Gerstner: AWS Trainium Chip Cannot Compete With Nvidia's Hopper or Blackwell
“I think Tranium is not even competitive with Hopper, let alone with where Blackwell is today.”
Patel: Every semiconductor company except NVIDIA is terrible at software
“I would say every semiconductor company in the world sucks at software except for NVIDIA, right?”
Patel: AMD lacks software talent and refuses to fund internal GPU clusters
“AMD is really good, but they're missing software. AMD has no clue how to do software, I think. They've got very few developers on it. They won't spend the money to build a GPU cluster for themselves so that they can develop software.”
Madra: NVIDIA's CUDA moat does not exist for inference workloads
“There is no
Tie into CUDA that's required to go faster.
That's required to get the models running, right?
Obviously none of the three companies run CUDA.
And so that moat doesn't exist around inference.”
Madra: The three fastest AI inference companies are not NVIDIA
“The three fastest companies in inference right now are not Nvidia.”
Huang: The AI industry will with certainty require millions of GPUs
“If you just did that math and you compound it with, you add, you compound that with four X per year, On model size and computing size. And then on the other hand, demand continues to grow in usage. Do we think that we need millions of GPUs? No doubt. Yeah, tha…”
Huang: xAI Brought 100,000-GPU Cluster from Delivery to Training in 19 Days
“NVIDIA, NVIDIA's infrastructure and computing infrastructure and all that technology, to training, 19 days.”
Gerstner: OpenAI Should Rename to ChatGPT and Focus on Google
“If I was Sam Altman running OpenAI, I think I might rename the company ChatGPT and just focused on the multi-trillion dollar opportunity to replace Google, right? Because I think winning at both, beating Google at consumer and beating Microsoft at enterprise y…”
Gurley: There is no chance of competing simultaneously with TSMC and Nvidia
“And then some of them, and I, once again, I don't know that there was an exact quote, but the idea that you're going to build a fab is And compete, you're gonna compete with TSMC and NVIDIA at the same time. Like, no chance. Like, no chance.”
Baker: NVIDIA is highly likely to dominate open-source AI
“I do think NVIDIA is highly likely to be the world's dominant provider of open source AI, and I do think Jensen will bring open source, you know, right now it's, whatever, six months behind the frontier. We might see it creep closer and closer and closer”
Huang: xAI Brought a 100k GPU Cluster Online in 19 Days
“Just to put in perspective, a 100,000 GPUs, that's You know, easily the fastest supercomputer on the planet as one cluster. A supercomputer, ah, that you would build would take normally three years to plan. And then they deliver the equipment, and it takes one…”
Gurley: Nvidia Agreed to Buy CoreWeave's Unsold Compute Capacity
“One of the more peculiar of all the deals is, and this was disclosed in a CoreWeave filing, was NVIDIA has promised to buy any of CoreWeave's service availability that they can't sell to anyone else.”
Huang: AI compute glut unlikely until general-purpose computing fully transitions
“Until, until we fully Convert all general purpose computing to accelerated computing in AI until we do that. I think the chances are extremely low.”
Huang: Hyperscalers support NVIDIA's direct purchasing deals with AI labs
“But they would like to have the same direct relationship with us, direct working relationship, and direct purchasing relationship. Meta, just as what Zuck and Meta has with us it's exactly a direct. Our relationship with between us and Sundar and Google, direc…”
Huang: NVIDIA is partnering directly with OpenAI to self-build infrastructure
“This new partnership is about helping OpenAI, working, partnering with OpenAI to build their own self-build AI infrastructure for the first time. And so this is us working directly with OpenAI at the chip level, at the software level, at the systems level, at …”
Huang: Chipmakers must co-design six to eight chips annually to beat wafer costs
“Wafer costs are getting higher, which means that unless you do co-design at an extreme scale, you're just not going to be able to deliver the x-factor growth, number one, number, and so you know, unless you, unless you're working on six, seven, eight chips a y…”
Huang: General-purpose computing is over, replaced by accelerated AI computing
“That general, general purpose computing is over, and the future is accelerated computing and AI computing.”
Gerstner: NVIDIA will likely be the first $10 trillion company
“I think NVIDIA will likely be the first 10 trillion dollar company”
Huang: NVIDIA is hiring across the board as AI boosts productivity
“My engineers, every one of them use AIs continuously, and we're hiring more engineers, we're hiring more people, we're hiring across the board. The reason for that is because we have more ideas. We can now go pursue more ideas. The reason for that is because o…”
Huang: Nvidia will eventually get the opportunity to compete in China
“These things will get sorted out, and we will have the opportunity to go compete in that China market.”
Gerstner: Wall Street consensus projects NVIDIA growth dropping to 8% in 2027
“But of the 25 sell-side analysts on Wall Street who cover your stock, if I look at the consensus estimate, it basically has your growth flatlining starting in twenty-twenty-seven. Eight percent growth twenty-twenty-seven through twenty-thirty, ok?”
Gerstner Predicts NVIDIA May Soon Sell Deprecated AI Chips to China
“I think that we could still see as part of the negotiation over the next 90 days, I would not be terribly surprised to see NVIDIA allowed to sell some form of deprecated chip into China”
Gerstner: Abu Dhabi Announced 5GW AI Campus with Nvidia, OpenAI, Oracle
“In Abu Dhabi, they announced a five gigawatt USAI, you know, it's a UAE USAI campus. It's an incredible architectural campus. It's in collaboration with NVIDIA and OpenAI and Oracle. And think of it as almost like a global Stargate. So to put that perspective,…”
Gerstner: The U.S. should not export cutting-edge AI chips to China
“I don't think we should be sending GB 200 or cutting edge chips to China. I think that there's a legitimate national interest in, you know, quote unquote, staying out in front on AI. I think there's a debate to be had about that. That's where I come down on th…”
Gerstner: The US banned Nvidia H20 chip exports to China
“What we did last week is the US did ban H-twenties going to China”
Gerstner: Banning Nvidia H20 exports increases US trade deficit by $15B
“I think NVIDIA sold, you know, 12 or fifteen billion dollars worth of H-twenties. So if you ban those, then your trade deficit with China goes up by fifteen billion dollars.”
Gerstner: China No Longer Depends on Nvidia for AI Inference
“BYD is designing a better car, and CATL is designing a better battery, and their glow, their vertically integrated supply chain around semiconductors no longer is dependent upon NVIDIA for inference. Now they're running inference at DeepSeq on the Ascend nine …”
Gurley: Excessive Washington regulation is the number one risk for Nvidia
“And if I owned Nvidia, my number one concern. Would be excessive regulation coming out of Washington. My number one concern.”
Gurley: DeepSeek bypassed Nvidia's CUDA framework for low-level optimization
“One, it's validated now that they went around CUDA, and I just think that's interesting.”
Gerstner: Semiconductor tariffs will slow US AI research and hurt tech leadership
“So that would be a tax on, on the NVIDIAs and AMDs and others, and it would be a tax on Meta and Amazon and all the folks that would have to pay that tax, which likely means that you get less chips purchased and less AI research, right? So if our number one go…”
Gurley: Nvidia rivals cannot ramp chip production fast enough
“Even if an NVIDIA competitor showed up, I don't think they can create enough production in the amount of time you need.”
Gerstner: Stargate's 2025 Buildout Needs Only ~$3B in Equity
“Out of the thirteen billion dollars of capex required, you know, if you make an assumption about 25 75 or 30 70 equity to debt, that probably requires like a three billion dollar equity check.”
Gerstner: Commerce Department AI diffusion rule will slow down American AI
“There's a very insidious piece regulation, again, under the guise of being tough on China that I think is really gonna slow down American AI, and this is a framework for artificial intelligent diffusion, and it was promulgated by the Department of Commerce, an…”
Gerstner: Nvidia will not lose AI market share from 2024 to 2025
“So I actually think if you look at the consensus numbers, they probably would imply that NVIDIA's market share is going down 24 to 25. And I don't think that to be true.”
Gerstner: AI power stocks are derivative bets; buy Nvidia instead
“And so I would always ask my analysts when they would bring me a power company, I would say, why is that better than NVIDIA? Right? It's a derivative NVIDIA. It's the exact same bet. So why not just buy more NVIDIA?”
Gerstner: Big Tech Valuations Are Not in a Bubble
“I look at that and I say, does, is that a bubble? Right? Does this feel like a bubble? I say, no. It's not as good a deal as you got at the start of 23. And it's not as good a deal as you got to start at 24, but if we achieve the growth expectations we expect …”
Patel: Samsung holds almost zero share in HBM memory, especially at NVIDIA
“In HBM, Samsung has almost no share, right? Especially at NVIDIA”
Patel: NVIDIA is cutting Blackwell margins to compete with custom ASICs
“Like with Blackwell, not only is it way, way, way faster, anywhere from 10 to 15 times on really large models for inference, because they've optimized it for very large language models, they've also decided, hey, we're gonna cut our margin, too, somewhat, beca…”
Patel: Broadcom is building an NVSwitch competitor for AMD and others
“Broadcom is making a Competitors to that, that they will cede to the market, right? Multiple companies will be using that. Not just, you know, AMD will be using that competitor to NVSwitch, but they're not making it themselves because they don't have the skill…”
Patel: NVIDIA's inference moat relies on hardware rather than software
“NVIDIA's moat in, in inference is actually A lot smaller on software but it's a lot bigger on, hey, they just have the best hardware.”
Patel: NVIDIA's Jensen Huang only plans 12 to 18 months ahead
“Well, the funny thing is a lot of people at NVIDIA will say Jensen doesn't plan more than a year or year and a half out. Because they change things and they'll deploy them out that fast, right? No semi, every other semiconductor company takes years to deploy, …”