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I'm not going to come running to the defense of private equity (PE) firms, but compared to so-called AI companies, the PE firms are at least building tangible things that have an ostensible alternative use. A physical data center building -- even one located far away from the typical metropolitan area that have better connectivity to the world's fibre networks -- will still be an asset with some utility, when/if the AI bubble pops.
In that scenario, the PE firm would certainly take a haircut on their investment, but they'd still get something because an already-built data center will sell for some non-zero price, with possible buyers being the conventional, non-AI companies that just happen to need some cheap rack space. Looking at the AI companies though, what assets do they have which carry some intrinsic value?
It is often said that during the California Gold Rush, the richest people were not those which staked out the best gold mining sites, but those who sold pickaxes to miners. At least until gold fever gave way to sober realization that it was overhyped. So too would PE firms pivot to whatever comes next, selling their remaining interest from the prior hype cycle and moving to the next.
I've opined before that because no one knows when the bubble will burst, it is simultaneously financially dangerous to: 1) invest into that market segment, but also 2) to exit from that market segment. And so if a PE firm has already bet most of the farm, then they might just have to follow through with it and pray for the best.
It's important to note that in some previous bubbles, the leftovers of the crash ended up spurring new beneficial growth after.
GPUlike computing power available at scape for essentially free after the ai crash could be used in all sorts of potential ways.
Maybe it makes rending movies with special effects super cheap, and available even to tiny indie studios. Maybe scientists grab it for running physics simulations or disease treatment computations.
gpus as used for genai aren't really suitable for normal loads like aerodynamic simulations, genai uses low precision data like fp8, fp4, blackwells and such are optimized for it so hard that you can't really do anything else on this thing
They're still somewhat functional for those workloads, and they can even use those low-precision components to emulate high-precision using libraries like cublas, though obviously not as fast as hardware that could do it natively.
It's not like they can't do it at all. It's just that Hopper was better at FP64 than Blackwell is but if Blackwell chips become effectively free due to an AI crash then you could likely still use them in that capacity.
it's hacky and wrong. or you could use different hardware, maybe from competition, because result isn't worth electricity it used