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 128 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 7 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
Baker: Nvidia's Blackwell transition is unprecedented, comparable only to the iPhone
“There's never been a product transition like this in the history of semiconductors going from Hopper to Blackwell, you know, kind of the 2022 generation GPU to this one. The only precedent for this on planet earth is the iPhone.”
Palihapitiya: DeepSeek bypassed Nvidia CUDA software lock-in using PTX
“Everybody is used to building models and compiling through CUDA, which is Nvidia's proprietary language, which I've said for a couple of times is their biggest moat, but it's also the biggest threat factor for lock-in. And these guys worked totally around CUDA…”
Chamath: Musk's 900,000 Nvidia GPU order will restrict rivals' hardware access
“He's actually bought now not just the largest NVIDIA cluster, but he's promised to buy 900,000 more. Do you know what happens when you buy a 100,000 and then buy, promise to buy 900,000? Not only are you at the front of the line, you consume NVIDIA's attention…”
Baker: Musk saved Nvidia during Blackwell delays by proving Hopper cluster scale
“I actually think you can argue that Elon doing that in a lot of ways kind of saved Nvidia from a tough six month period when Blackwell was delayed because everyone who was waiting for Blackwell and thought it was impossible to make a 100,000 hoppers coherent r…”
Thiel: Nvidia earns over 100% of AI industry profits
“Nvidia is making over 100% of the profits. Everybody else is collectively losing money.”
Hoffman predicts the bulk of AI chip demand will be for inference
“And I think there's gonna be a bunch of those kind of coming in, and the bulk of the demand will be on the inference side”
Hoffman: NVIDIA's AI growth run is sustainable for two years
“I basically told them and say, hey, look, it's sustainable for two years, which for you guys means forever, right?”
Sacks: Nvidia has a much stronger competitive moat than Cisco had
“So I think you can make the case that NVIDIA has a much better moat than Cisco.”
Chamath: Nvidia will lose market share to AI chip startups over time
“At some point, the spread trade will be that Nvidia loses share, even though revenues keep compounding to these upstarts.”
Chamath: AI startups using HBM face roadblocks due to Nvidia's supply sweep
“If you are investing in a company that is subject to, you know, HBM in their design decisions, or these specific optical cables, or a whole bunch of other things, you're going to be in a really difficult spot because Nvidia's bought them all.”
Sacks: Nvidia's valuation is grounded in profits, unlike Cisco in 2000
“One is that if you look at Nvidia's multiples, they're nowhere near where Cisco's were back then. So the market in 1999 and early 2000 was way more bubbly than it is now. So Nvidia's valuation is much more grounded in real revenue, real margins, real profit.”
Friedberg: Efficiency gains support thesis that Nvidia could reach $10T valuation
“And so it really starts to rationalize the Nvidia thesis that it could be worth 10 trillion dollars potentially.”
Chamath: Competition will eventually decay Nvidia's profit margins
“I think that that probably decays the Nvidia margin and upside over time.”
Brad Gerstner predicts Nvidia will beat earnings expectations through late 2023
“I don't think there's any problems with Nvidia. I think they're going to continue to perform. I think they're beat their numbers for the balance of the year.”
Palihapitiya predicts major non-Nvidia AI hardware announcements within two quarters
“So my bet is in the next two quarters, you start to see some real action so that folks start to have to balance their forecasts, where it's not just a hundred percent NVIDIA, but it's NVIDIA plus plus plus.”
Palihapitiya: Nvidia's margins will compress as major tech companies build custom chips
“In the end, Nvidia's gains today will be then spread across Nvidia. Facebook will have their own chip. Amazon will have their own chip. Google already does. Apple will have their own chip. All the memory companies will be in this space, right? So then the prof…”
Friedberg: Paul Pelosi bought Nvidia stock four times in 12 months
“Over the past year, He has bought Nvidia four different times, each time in the same kind of volume range... He's also bought Apple in the last month, Microsoft, sorry, he sold Apple, he bought Microsoft he bought Alliance Bernstein earlier in the year. He's m…”
Calacanis: Nvidia acquired Hugging Face for $12B and Poolside for $6B
“He bought Hugging Face for twelve billion, and he did like one of these aqua hire deals with Poolside for six billion total, about twenty billion in twenty billion in acquisitions, which is far less than one percent of the market cap of NVIDIA.”
Chamath: Open-source AI companies do not push doomerism like closed labs
“Because what's interesting to me is I haven't seen the same Doomerism from any open source model company, including Nvidia. And the thing with the open source models is you can actually see it thinking, so you can see its misalignment in real time.”
Calacanis: Nvidia partnering with Goldman and BlackRock for $500B financing
“NVIDIA is partnering with Goldman, BlackRock, and others to raise five hundred billion in AI compute.”
Baker: Nvidia might reach the frontier of open-source AI models
“I think you might see Nvidia at the open source frontier.”
Baker: Divergent Chinese open-source model architectures favor Nvidia GPUs
“If you look at the underlying architectures of the three, what I call big Chinese open source models, and maybe even through a few, or four, You know, if we have Quinn, if we have Kimmy, if we have DeepSeq, and then we have GLM, they're actually evolving in ve…”
Gerstner: Vast majority of AI compute offtake comes from 3 companies
“So the vast majority of the offtake commitments are coming from Anthropic, OpenAI, and NVIDIA. Right. When you hear about the hyperscalers building all of this, you know, this computer, they're building it out to sell to the people that we you know, that we ju…”
Calacanis: Users won't distinguish NVIDIA's Nemotron from Claude in 95% of searches
“You will not be able to tell the difference between Jensen Wong's open source LLM sacks and Claude for 95% of your searches. I guarantee you.”
Chamath: Nvidia is unbelievably accretive despite being mispriced like SaaS
“Except Nvidia. Which is the most unbelievably accretive, well-run company, highest margins, you know, making two hundred billion dollars. And they're treating it like they're treating ServiceNow and Snowflake.”
Huang: 40% of Nvidia's business requires CUDA and full AI stack
“About 40% of our business, most people don't realize this, 40% of our business, unless you have the CUDA stack, unless you can build an entire AI factory, you have, the customers don't know what to do with you.”
Huang: Nvidia plans to add Groq to optimize data center workloads
“Today, NVIDIA's computing is spread across GPUs, CPUs, switches, scale up switches, scale out switches, networking processors, and now we're going to add Grok to that, and we're going to put the right workload on the right chips.”
Jensen Huang says Nvidia's physical AI business is near $10 billion annually
“It is a multi-billion dollar business for us. It's close to ten billion dollars a year now.”
Huang: AWS will purchase 1 million Nvidia chips in coming years
“In the case of AWS, I think they just announced, I think it was yesterday, that they're gonna buy a million chips in the next couple years.”
Jensen Huang: Nvidia's total addressable market probably increased 33% to 50%
“So NVIDIA's TAM, if you will, increased from whatever it was to probably something, call it, you know, 33%, 50% higher.”
Chamath: OpenAI is diversifying inference hardware across AMD, Nvidia, and Cerebras
“What I can tell you is that OpenAI is aggressively trying to diversify so that they have multiple paths Of inference available. They have a huge deal with AMD. They have a huge deal with Nvidia. They now have a huge deal with Cerebris.”
Chamath: Nvidia-Groq deal will drastically drive down AI infrastructure costs
“I just think it's going to create a huge acceleration in the ability for this entire infrastructure layer to get much cheaper and much more valuable, which I suspect then it'll have a lot more developer pull. You'll get a lot more applications being built, bil…”
Tareq Amin: Humain has partnered with AMD, Groq, Nvidia, and Qualcomm
“So if you see our partnership that we have done with AMD, with a startup called Grog NVIDIA, Qualcomm. It shows you clearly our commitment to this relationship and partnership, and it's really deep.”
Gerstner: Nvidia captured nearly 100% of incremental AI data center revenues
“In twenty-twenty-two, two and a half years ago, NVIDIA and AMD had basically the same revenue, twenty-five billion dollars, right? This year, NVIDIA will do 10 X that at roughly, you know, 210, two hundred and thirty billion dollars, and AMD will do thirty-thr…”
Gerstner: Nvidia will generate $450B in cash flow from 2025 to 2027
“25 through 27, NVIDIA will generate four hundred and fifty billion dollars, half a trillion dollars of cash flow.”
Haas: Intel competition drove Nvidia's early pivot to Arm architecture
“That was the genesis of starting to pivot to ARM in a very big way inside NVIDIA, because at that time, Jensen looked at what was going on with SoCs and ARM-based architecture and moved everybody on to the SoC program.”
Huang: 100% of Nvidia software engineers and chip designers use AI
“Every single software engineer today uses AI, not one left behind. A hundred percent of our chip designers use AI.”
Chamath: Nvidia reports revenue based on billing address, not physical delivery
“They report revenue on what's called the billing or the invoicing address.”
Calacanis: Young retail traders will mature from meme coins to real equities
“If you let these kids trade, they will figure it out over time, and then what happens is, like you, they get married, they get a baby, they want to get a house, and then they say, you know what, I'm going to stop buying meme coins, I'm going to start buying Bi…”
Baker notes high bandwidth memory costs Nvidia more than TSMC chips
“High bandwidth memory is a bigger part of Nvidia's cogs on GPUs than Taiwan Semi is.”
Hoffman advises investors not to short NVIDIA stock
“I definitely, I would recommend people not be short on Nvidia today.”
Palihapitiya: Nvidia stock will trend upward for next 18 to 24 months
“Is it not going to go up in the next 18 to 24 months? Probably is for exactly the reason you said. It is super set up to have a very good meet and beat guidance for the street, which they'll eat up and all of the algorithms that trade the press releases will d…”
Nvidia sets corporate record with $247 billion single-day market cap gain
“Shares were up 15% on Thursday, representing a nearly two hundred fifty billion dollar jump in market cap. So let's just let that sit in for a second. This is the largest single day gain in market cap. Two hundred forty seven billion dollars added in market ca…”
Gerstner: ByteDance announced a $1B Nvidia chip purchase in June 2023
“ByteDance bought a billion dollars worth of Nvidia chips announced this week, right?”
Sacks: Nvidia guided for 70% growth against 45% Street expectations
“Which is really, I think the reason why the stock is up eight percent today is not just the great quarter, but the fact that they guided To 70% growth next year, whereas the street was only expecting around 45%.”
Calacanis: AI chip inference efficiency will improve 5x-10x every 12-18 months
“If you look at what Cerebrus and Grok and NVIDIA are up to, they're making inference 10 times, five times, every year, and you're the chip master here, Gavin, but they'll be five to 10 times more efficient every 12 to 18 months.”