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 48 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 3 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
Musk and Huang Co-Designed an Orbital NVIDIA Rubin Rack for 2027
“Elon said that he and Jensen have co-designed a Reuben rack. And there, it's gonna launch in the fourth quarter of 27.”
Appenzeller: Intel-Nvidia partnership means AMD is 'fucked'
“I think AMD is fucked, right? I mean, they're, you're just, If your two arch nemesis suddenly team up, that's the worst possible news you can have, right? They were already struggling, right? Their cards are good, their software stack is not, right? They were …”
Dylan Patel: Intel is crawling to NVIDIA in a full-circle reversal
“It's kind of poetic that everything's gone full circle and Intel's sort of crawling to NVIDIA.”
American Open-Source AI Led by NVIDIA Will Reach Near-Frontier Capabilities
“I do think you're going to see American open source led by Nvidia get really close to the frontier.”
Horowitz: Memory, not NVIDIA chips, will be the next AI bottleneck
“NVIDIA will make enough chips, but then we won't have enough memory.”
Horowitz: Nvidia's valuation multiples are not historically outrageous given earnings growth
“Even like the Nvidia multiples, Aren't, you know, they're not like outrageous that, you know, particularly when you look at the growth rate and the, just the size of the earnings and so forth, like they're not historically nuts to the point where people would …”
Andreessen: Extreme AI infrastructure shortages will abate within five years
“NVIDIA has like, you know, the best position probably anybody's ever had in chips, but notwithstanding that, I find it hard to believe that there's going to be this level of pressure on infrastructure in five years.”
Baker: Google's TPU makes it Nvidia's biggest AI chip competitor
“NVIDIA's biggest competitor, it's not AMD, it's not Broadcom you know, it's certainly not Marvell. It's not Intel. It's Google. And more specifically, it is Google, because Google owns the TPU chip.”
Patel: Energy and data centers are NVIDIA's primary growth bottleneck
“Do you invest in data centers and energy? Yeah. Do you invest in, because that's the bottleneck for your growth really is, is A, well, how much people want to spend and can spend, and B, the ability to actually put them in data centers.”
Patel: AI chip startups need a 5x hardware advantage to beat NVIDIA
“Because the supply chain stuff means that five X actually turns into a two and a half X, and then NVIDIA can compress their margin a little bit if you're actually competitive. And then that two and a half X becomes like a 50% better. And then, yeah, so it's li…”
Patel: Open-source AI dispersion will keep NVIDIA the most valuable company
“If it gets dispersed more and more which arguably we're starting to see with a lot of these open source models getting better and better and better and with ease of deploying them getting better, then you would see, I think you could argue NVIDIA will remain t…”
Casado: DeepSeek release is not a crisis for OpenAI, Anthropic, or Nvidia
“I personally don't think this is a crisis moment for open AI or Anthropic. I think like apps are hard to build. I think that like right now the apps that they put out are very complex. They actually know their users. They have very specific use cases. And so, …”
Casado: Shorting Nvidia over DeepSeek's launch is the wrong answer
“My reaction was not, oh, shit, I need to, like, short NVIDIA or whatever. I think that's actually the wrong answer.”
Casado: Strong balance sheets prevent AI infrastructure market crash
“You have a much better foundation. Much, much better foundation for the AI wave, right? Like the primary investors are the big three cloud companies. They've got hundreds of billions of dollars on the balance sheet. Even if all of this goes away, they'll be fi…”
Schmidt: Decentralized training will force NVIDIA to redesign chips around VRAM ratios
“What might happen sooner would be a redesign of the types of chips that NVIDIA or someone would make. Okay, under this model, we can dedicate more VRAM versus, there's like this question of how much VRAM versus how much processing power is on a die, and that, …”
Andreessen: Every top AI software startup is building on Nvidia chips
“Every sharp AI software entrepreneur comes that comes in here is now building on top of NVIDIA's chips, which is, of course, a very different outcome than entrepreneurs of previous years who would have built other kinds of programs, primarily on top of Intel c…”
A $50 Billion NVIDIA Data Center Requires Only $15 Billion in Equity
“Like, let's say it's fifty billion dollars. For an Nvidia data center, you need a fifteen billion dollar equity check. Okay. You can finance the other thirty five billion.”
Google TPU Data Centers Require Double the Equity Check of NVIDIA GPUs
“TPUs are the second most financeable. It probably takes, I don't know, double the equity check at least. And then the rates on the rest of it are higher.”
Every One Percent Market Share in AI Accelerators Is Worth $100 Billion
“My rule of thumb for accelerators, every one percent share today is probably worth a hundred billion. So there's no need to go head on with NVIDIA.”
Appenzeller: Intel-Nvidia alliance weakens Arm's core value proposition
“I think ARM is a little bit screwed as well, right? Because they are, their biggest selling point was sort of like, look, we can partner with everybody that doesn't want to partner with Intel.”
Patel: NVIDIA is the only $10B+ semiconductor company founded post-1990
“It's the only semiconductor company that's worth, you know, I think even north of ten billion dollars that was founded as late as it was. Like MediaTek was in the early nineties and then Nvidia and everyone else is like from the seventies mostly.”
Patel: NVIDIA added Tensor cores to Volta months before fab
“There's a story about how Volta, Which was the first NVIDIA chip with Tensor cores. You know, they saw all the AI stuff on the prior generation P. 100 Pascal. And they decided we should go all in on AI. And they added the Tensor cores to Volta, like only a han…”
Patel: NVIDIA Lost $20B+ China Revenue from H20 Ban
“Our revenue estimate for Nvidia in China for just H-twenty was north of twenty billion because that's what they were booking in capacity slash had to write off.”
Patel: NVIDIA almost always ships first-pass A0 silicon
“So, like, NVIDIA always ships A zero. Almost always. They sometimes ship A one.”
Patel: NVIDIA will accumulate hundreds of billions in cash balance
“He's gonna have hundreds of billions of dollars of cash on his balance sheet.”
Patel: NVIDIA maintains 75% gross margins compared to AMD's 50%
“I make a 75% gross margin as NVIDIA AMD sells their GPUs for 50% gross margin”
Patel: NVIDIA will hold over $100B in cash by late 2025
“The cash on their balance sheet keeps growing, and they're gonna have north of a hundred billion dollars of cash on their balance sheet by the end of this year, I think.”
Huang: NVIDIA designed Blackwell architecture specifically for AI reasoning inference
“People are surprised that, that that Blackwell is such a great leap over Hopper, and the reason for that is because we built Blackwell for inference, and at a, just in time, because all of a sudden thinking is such a big computing load”
Huang: Computing companies prioritize developers while chip companies prioritize hardware
“What we make is a GPU, but I think of NVIDIA as a computing company. If you're a computing company, the most important thing you think about is developers. If you're a chip company, the most important you think, the thing you think about is a chip.”
Mensch: Asynchronous AI workloads will drive massive new compute demand
“We are moving to, towards workloads that are more and more asynchronous. So workloads where you give a task to an AI system, and then you wait for it to do, like, 20 minutes of research before returning. So that's definitely changing a bit the way you should b…”
Midha: Government balance sheets drive unprecedented Nvidia purchasing orders
“So you've had an enormous amount of NVIDIA's purchasing orders come from the balance sheet of governments. Just unprecedented demand they've been seeing from nation states realizing that they want to be hyper centers.”
Schmidt: Nous is building fault-tolerant training code for heterogeneous devices
“We're making sure that also like the code we're writing to help to actually do this training is agnostic to the hardware and is able to communicate and operate. You can have an Apple device and an NVIDIA device training together. And this is actually the, for …”
Horowitz: Nvidia remains highly productive because its relative headcount is small
“The reason NVIDIA is still so productive is because it is really small. Well, like if you look at their headcount against their market cap, it's a remarkably small company.”
Horowitz: Nvidia's InfiniBand networking gives it a major AI advantage over AMD
“One of their biggest advantages is They have a, you know, Nvidia also owns a networking architecture called InfiniBand, and InfiniBand turns out to be, like, really, really important in AI you know, in, in terms of having the, kind of, GPUs being able to commu…”
Appenzeller: NVIDIA's moat lies in software ecosystem, not hardware specs
“NVIDIA's big advantage is that they have a very mature software ecosystem. So imagine you are an artificial intelligence developer or engineer or researcher. You're often using a model that's open source, you know, somebody else developed, and, you know, how f…”
Dixon: Consumer gaming demand for GPUs catalyzed modern deep learning
“Games have driven GPUs. So like, just like the, that market is one where the gamers have been endlessly hungry for more polygons, and that created this kind of, you know, Nvidia and this whole industry around it. Which then had these interesting, you know, the…”
Horowitz: Nvidia's massive core growth causes it to ignore smaller AI opportunities
“So the last thing I'm doing is looking at a silver brick, and I think NVIDIA's in that position.”
Sacks: Huawei's Cloud Matrix networks 384 chips to match Nvidia rack performance
“Back in April Huawei launched a technology called Cloud Matrix in which they compensated for the fact that their chips individually are not as good as NVIDIA's chips by networking more of them together. So they took 384 of them. Now you use their prowess in ne…”
Patel: Integrated x86 and Nvidia graphics laptop would be best on market
“An x-ay six laptop with NVIDIA graphics fully integrated would be probably the best product in the market.”
Huang: NVIDIA's top value to cloud providers is bringing them business
“Probably the single most important thing that we do for all the CSPs is bring them business.”
Huang: AI requires onboarding and guardrails just like human hires
“We hire general purpose employees all the time. We hire them out of school. Some of them are more general purpose than others. Some of them are more intelligent than others. But once they become our employees, we decide to onboard them. Train them. Guardrail t…”
Andreessen: Nvidia's market cap passed German and Italian stock markets combined
“NVIDIA, the news of the week is NVIDIA, just NVIDIA, just passed the total market cap of both the German stock market and Italian stock market combined.”
Appenzeller: Competitor AI chips match NVIDIA on raw FLOPS performance
“If you look at the pure hardware statistics, so how many floating point operations per second can these chips do? There's others that are very competitive with what NVIDIA has.”
Gil: Every major tech wave produces a major silicon company
“Every major technology wave also had a major silicon company created in it, and right now to some extent that's Nvidia for not only graphics processing but also for machine learning purposes.”
Chen: NVIDIA Advocates End-to-End Deep Learning for Self-Driving Cars
“NVIDIA would have you believe that the path to get to a self-driving car is basically deep learning end-to-end.”
Mo: Major chipmakers use vLLM as an internal benchmark
“And additionally, VLM also work closely with all the hardware vendors. So that means across like NVIDIA, AMD, Google, and Amazon, Intel, and a lot more, their newest chip will make sure VLM can run on them. And then a lot of cases they use VLM as a benchmark t…”