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To be honest ai datacentres would be a rip and replace to get back to normal datacentre density, at least on the cooling and power systems.

Maybe useful for some kind of manufacturing or industrial process.

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Cheap compute would be a boon for science research.

It'll likely be used to mine bitcoin instead.

The GPUs, sure. The mainboards and CPUs can be used in clusters for general-purpose computing, which is still more prevalent in most scientific research as far as I am aware. My alma mater has a several-thousand-core cluster that any student can request time on as long as they have reason to do so, and it's all CPU compute. Getting non-CS majors to write GPU code is unlikely in that scenario.

> Getting non-CS majors to write GPU code is unlikely in that scenario.

People mostly use a GPU-enabled liblaplac. Physics, chemistry, biology, and medicine departments can absolutely use the GPUs.

I provide infrastructure for such a cluster that is also available to anyone at the university free of charge. Every year we swap out the oldest 20% of the cluster as we run a five year depreciation schedule. In the last three years, we’ve mostly been swapping in GPU resources at a ration of about 3:1. That’s in response to both usage reports and community surveys.

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