alt Hacker News> When the early-electrification bubble built, we were left with the grid. And when the dot-com bubble burst, we were left with a lot of valuable infrastructure whose cost was sunk, in particular dark fibre. The AI bubble? Not so much.
Except for the physical buildings, permitting, and power grid build-out.
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I was also wondering if the GPUs that die and need to be replaced actually become inert blocks of fused silicon or do they work at half speed or something? A data center full of half speed GPUs is still a lot of computing power waiting for somebody to use.
> Except for the physical buildings, permitting, and power grid build-out.
Those are extremely localized at a bunch of data centers and how much of that will see further use? And how much grid work has really happened (there are a lot of announcement about plans to maybe build nuclear reactor etc., but those projects take a lot of time, if ever done)
nVidia managed to pivot their customer base from crypto mining to AI.
Thinking about data center capacity. How much new capacity we actually need? Ignoring AI that is. Will there be demand for this and will that demand cover the maintenance in the interim. Power-grid capacity as long as it is not too expensive could be reasonable use. But buildings and permits and so on might be less.