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1045 points mfiguiere | 1 comments | 12 Feb 24 14:00 UTC | HN request time: 0.001s | source

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Keyframe ◴[12 Feb 24 16:45 UTC] No.39347045[source]▶

This event of release is however a result of AMD stopped funding it per "After two years of development and some deliberation, AMD decided that there is no business case for running CUDA applications on AMD GPUs. One of the terms of my contract with AMD was that if AMD did not find it fit for further development, I could release it. Which brings us to today." from https://github.com/vosen/ZLUDA?tab=readme-ov-file#faq

so, same mistake intel made before.

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RachelF ◴[12 Feb 24 23:26 UTC] No.39352021[source]▶

>>39347045 #

Yeah, AMD look like idiots for doing this.

Either they are very stupid, or open sourcing the library stops NVidia from suing them in a repeat of the Oracle/Google lawsuit over Java APIs?

I'm not sure what the reason is?

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1. yen223 ◴[13 Feb 24 02:04 UTC] No.39353427[source]▶

>>39352021 #

I think AMD is focusing on the "inference" side of ML, which doesn't really require CUDA or similar, and is what they believe a much larger market.

Time will tell if that strategy is going to pan out. Ceding the ML "training" market entirely to Nvidia is certainly a bold move

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AMD funded a drop-in CUDA implementation built on ROCm: It's now open-source