this post was submitted on 05 Mar 2024
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[–] s12@sopuli.xyz 49 points 8 months ago* (last edited 8 months ago) (9 children)

Got a Windows app you want to run on Linux? Wine and Proton are well known translation layers.

I guess Graphics Cards are similar. CUDA is basically the NVIDIA equivalent of .exe I think.

[–] Natanael@slrpnk.net 45 points 8 months ago (8 children)

Cuda is an Nvidia specific method for using a graphics card to do computation (not just graphics), like physics simulations.

Translation layers would let you use software designed for other graphics cards to work with Cuda, or to let Cuda software work on other graphics cards

[–] ColeSloth@discuss.tchncs.de 12 points 8 months ago (6 children)

So nvidia designed something and they don't want other companies to use it?

[–] Jesus_666@feddit.de 39 points 8 months ago* (last edited 8 months ago) (1 children)

CUDA was there first and has established itself as the standard for GPGPU ("general purpose GPU" aka calculating non-graphics stuff on a graphics card). There are many software packages out there that only support CUDA, especially in the lucrative high-performance computing market.

Most software vendors have no intention of supporting more than one API since CUDA works and the market isn't competitive enough for someone to need to distinguish themselves though better API support.

Thus Nvidia have a lock on a market that regularly needs to buy expensive high-margin hardware and they don't want to share. So they made up a rule that nobody else is allowed to write out use something that makes CUDA software work with non-Nvidia GPUs.

That's anticompetitive but it remains to be seen if it's anticompetitive enough for the EU to step in.

[–] ColeSloth@discuss.tchncs.de 3 points 8 months ago (1 children)

I guess I'm missing who owns/developed Cuda, then. Like, why does Nvidia think they can disallow anyone else from using Cuda if Cuda was made and broadly used as the API before Nvidia.

[–] deur@feddit.nl 4 points 8 months ago

CUDA was developed and launched by nvidia. The predecessor was lead by the same person and developed in the open, as opposed to CUDA.

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