It’s far more extreme: old servers are still okay on I/O, and memory latency, etc. won’t change that dramatically so you can still find productive uses for them. AI workloads are hyper-focused on a single type of work and, unlike most regular servers, a limiting factor in direct competition with other companies.
> Push comes to shove im sure an old A100 will run crysis.
They don’t have video out ports!
All those use cases would probably use up 1% of the current AI infrastructure, let alone ahat they're planning to build.
Yeah, just like gas, possible uses will expand if AI crashes out, but:
* will these uses cover, say, 60% of all this infra?
* will these uses scale up to use that 60% within the next 5-7 years, while that hardware is still relevant and fully functional?
Also, we still have railroad tracks from the 1800s rail mania that were never truly used to capacity and dot com boom dark fiber that's also never been used fully, even with the internet growing 100x since. And tracks and fiber don't degrade as quickly as server hardware and especially GPUs.
I mean you could use training GPUs for inference right? That would be use case number 1 for a 8 * a100 box in a couple of years. It can also be used for non IO limited things like folding proteins or other 'scientific' use cases. Push comes to shove im sure an old A100 will run crysis.