I would imagine any program running simulations, rendering environments, analyzing metadata, and similar tasks would be able to use it.
It would be useful for academic researchers, gamers, hobbyists, fediverse instances. Basically whatever capabilities they have now, they would be able to increase their computing power for dirt cheap.
Someone could make a fediverse MMO. That could be cool, especially when indie devs start doing what zuck never could with VR.
Google Stadia wasn’t exactly a responding success…
From a previous job in hydraulics, the computational fluid dynamics / finite element analysis that we used to do would eat all your compute resource and ask for more. Split your design into tiny cubes, simulate all the flow / mass balance / temperature exchange / material stress calculations for each one, gain an understanding of how the part would perform in the real world. Very easily parallelizable, a great fit for GPU calculation. However, it’s a ‘hundreds of millions of dollars’ industry, and the AI bubble is currently ‘tens of trillions’ deep.
Yes, they can be used for other tasks. But we’ve just no use for the amount that’s been purchased - there’s tens of thousands of times as much as makes any sense.
I wonder if the Server gpus can be used for other tasks than computing llms
I would imagine any program running simulations, rendering environments, analyzing metadata, and similar tasks would be able to use it.
It would be useful for academic researchers, gamers, hobbyists, fediverse instances. Basically whatever capabilities they have now, they would be able to increase their computing power for dirt cheap.
Someone could make a fediverse MMO. That could be cool, especially when indie devs start doing what zuck never could with VR.
Google Stadia wasn’t exactly a responding success…
From a previous job in hydraulics, the computational fluid dynamics / finite element analysis that we used to do would eat all your compute resource and ask for more. Split your design into tiny cubes, simulate all the flow / mass balance / temperature exchange / material stress calculations for each one, gain an understanding of how the part would perform in the real world. Very easily parallelizable, a great fit for GPU calculation. However, it’s a ‘hundreds of millions of dollars’ industry, and the AI bubble is currently ‘tens of trillions’ deep.
Yes, they can be used for other tasks. But we’ve just no use for the amount that’s been purchased - there’s tens of thousands of times as much as makes any sense.