• TechNom (nobody)@programming.dev
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      9 months ago

      CUDA is an API to run high performance compute code on Nvidia GPUs. CUDA is proprietary. So CUDA programs run only on Nvidia GPUs. Open alternatives like vulkan compute and opencl aren’t as popular as CUDA.

      Translation layers are interface software that allow CUDA programs to run on non-Nvidia GPUs. But creating such layers require a bit of reverse engineering of CUDA programs. But they are prohibiting this now. They want to ensure that all the CUDA programs in the world are limited to using Nvidia GPUs alone - classic vendor lock-in by using EULA.

      • Varyk@sh.itjust.works
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        9 months ago

        Thank you, that’s simply enough that I can understand what you’re saying, but complex enough that all of my questions are answered.

        Great answer

    • MxM111@kbin.social
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      8 months ago

      You can’t use CUDA drivers and then insert translation layer, that translates calls to NVIDIA hardware to calls to non-NVIDIA hardware and use non-NVIDIA hardware with CUDA.

      • Darkrai@kbin.social
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        8 months ago

        Do you think this is something the EU will say is anti-competitive or something? I don’t think current late-state capitalism America will do anything.

        • 520@kbin.social
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          8 months ago

          Oh the EU will definitely call this anticompetitive. Especially when nVidia have a monopoly in the AI segment as is.