Nvidia’s $500B Compute Deal, Paramount Threatens CA Exit, Musk’s “Shortcut” to $1T Payday | Diet TBPN

**John Coogan** (0:02)
Is that the NVIDIA Compute Deal alarm? Huge deal on the cover of the Financial Times today.
Wall Street, big names join NVIDIA to build $500 billion AI financing package, a landmark lending plan. Jensen really lined up the murderer's row of financiers for his new AI financing package.

**Jordi Hays** (0:24)
Legendary set up over on CNBC too. One of the greatest round tables of all time.

**John Coogan** (0:29)
Yeah, incredible. Only Larry Fink was remote. They got David Solomon, CEO of Goldman Sachs, in-studio John Gray from Blackstone, Jim Zeltzer from Apollo, Bruce Flatt from Brookfield, and of course Jensen breaking it all down for everyone. I'm sure the Hollywood starlets were pounded on the glass outside looking for some new arm candy, don't you think?
100%. Because it's very rare to see that many individuals, capital allocators, specifically capital allocators, put it all on the line every day in the market.

**Jordi Hays** (0:59)
Some would call them bad boys.

**John Coogan** (1:02)
Some might, some have. So I'm sure they were lined up. But it's a great segment. I wanted to play this one clip of them discussing just the profitability, why they see this as an investable asset. There were a couple of quotes. The sheer size of the AI infrastructure buildout is unprecedented.
The president of Apollo said, more than $8 trillion of capital is expected to be invested, a staggering sum. We see an enormous opportunity for private capital to finance a portion of this along with public capital. So Wall Street's not taking their foot off the gas. Anyway, let's play this clip from CNBC.

**Jensen Huang** (1:35)
More of your margin of safety of energy.

**SPEAKER_4** (1:37)
So are these concerns about whether we can meet this demand overdone at this point? Do you think, Jensen, that from where you see things, the demand level and how we're building up around it, that it's going to be okay and it'll all work out?

**Jensen Huang** (1:51)
We're going to be constrained for some time and pretty much across the board, from chips to memories to packaging to systems, photonics, connectors, land, power, construction workers.
The whole thing, the entire supply chain up and down, behind me upstream, all the way downstream. This is happening at a time when AI has become useful. Because it's starting to do productive work and it's happening all over the world. And AI tokens are profitable, incredibly profitable. When you have something profitable, everybody wants to make more of it. Great demand, great profitability. The conditions are exactly right for the work that we're doing right now.

**SPEAKER_4** (2:36)
Jensen, why these companies? And did you go to any partners who said no?

**Jensen Huang** (2:40)
No one said no, but this is the sixth premier world's premier institutional financiers for infrastructure. This is the best of the best.

**SPEAKER_4** (2:51)
What John said, that right now you'll be less likely to have public capital that comes into this because a lot of these are companies that aren't making money yet. Is he right on that or are there going to be big banks and others that kind of step up?

**Jensen Huang** (3:05)
I believe within months you're going to realize that these companies are extremely profitable. These are the fastest growing technology companies in history.

**SPEAKER_4** (3:13)
Your customers, you mean?

**Jensen Huang** (3:14)
That's right. These are the fastest growing technology companies in history and the tokens they're generating are incredibly profitable. You know, if the wafers that we buy from TSMC are incredibly profitable and there's incredible demand for it, I'm going to want to buy a lot more.

**SPEAKER_4** (3:28)
By the way, who are we talking about? Your customers. Which customers will have access to these?

**Jensen Huang** (3:32)
AI labs.

**Jordi Hays** (3:34)
AI labs are the ones.

**SPEAKER_4** (3:35)
That's the ones that you think are profitable. But will this financing go?

**Jensen Huang** (3:37)
AI labs, AI startups.
You know, as you know, this last six months, the world put in about $500 billion in AI startups. $500 billion is the largest investing period, probably in recent history. And these companies need compute. And so we now have the vehicle to do so. That's great stuff.

**SPEAKER_5** (3:59)
$500 billion, huge number.

**John Coogan** (4:01)
But it feels a lot smaller when he lays out the actual compute calculation. $50 billion per gigawatt.

**Jensen Huang** (4:09)
$50 to $60.

**John Coogan** (4:10)
$50 to $60. So you're looking at $10 billion, or $10 gigawatts of powered compute, which is, you know, the labs are at like three combined across a few of them. And we've been on this 3X scaling. So this is really just like next year's compute.