Jason

The only other people using this type of hardware, quants, medical researchers.

And- Yeah, so you went from crypto to these researchers into academia and deep research.

What's the next card to turn over in the poker game?

And when did the language model start dialing and calling you for capacity?

which is just like one of the massive- And the inference shows you people are consuming it, not just building models, but they're deploying them and utilizing them.

What is the shelf life of a 100 right now?

Yeah, that's been a big debate is, I think, for your company, for Microsoft.

And I guess Michael Burry, you know, who you must have known when you were a quant, you know, saying, oh, my God, the whole industry is the sky's falling.

And then we all know in the industry that people don't just throw this hardware away, that they find uses for it.

The street finds its own use for technology.

So what's the reality of the lifespan of these things?

I mean, to make a very simple example for the audience, like when you trade in your iPhone after three or four years, you're like...

who's going to use an iPhone 12?

And it's like, have you been to South America or Africa where you go to the store and you buy an iPhone 12 or you buy the Pixel 7 and it costs $50?

That's still got great life left in it.

Absolutely.

It just doesn't make any sense.

It's obviously farcical.

I think sometimes people get caught up in Moore's law or in just how fast our industry is growing and that there's so much at stake that big companies are demanding the most recent products

That doesn't mean that the lifespan has gotten shorter.