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1. The same isn’t necessarily true of the rest of the hardware stack which may be reused between accelerator generations.

2. You’re missing the “New Nvidia chips 10x B200, compute requirement grows less than 10*software improvements YoY -> buy less Nvidia.” Valuations are based on forward projections (>1T annual for NVDA) which can be revised down leading to a drop in valuation.

> If Amazon doesn't buy but Microsoft does

The big 3 all have their own proprietary accelerators. Meta is buying TPUs as well for now.

I would bet Nvidia’s major customers in 2 years are neoclouds and it seems that Jensen is making the same bet.

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1. So this makes Burry’s argument even less convincing since those auxiliary hardware can last longer.

2. Jevons Paradox. More efficiency should lead to bigger models, faster inference, and more total tokens.

3. By all accounts, Trainium and Maia and Meta’s internal chip are struggling to keep up with Nvidia. That’s why they order as many Nvidia chips as possible. They’re not giving up but it isn’t as easy as buying stock Arm cores and taking them to TSMC.

Neoclouds may very well be Nvidia’s biggest customers and this probably what Nvidia wants.

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