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

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1045 points mfiguiere | 1 comments | 12 Feb 24 14:00 UTC | HN request time: 0.214s | 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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tgsovlerkhgsel ◴[12 Feb 24 22:44 UTC] No.39351568[source]▶
How is this not priority #1 for them, with NVIDIA stock shooting to the moon because everyone does machine learning using CUDA-centric tools?

If AMD could get 90% of the CUDA ML stuff to seamlessly run on AMD hardware, and could provide hardware at a competitive cost-per-performance (which I assume they probably could since NVIDIA must have an insane profit margin on their GPUs), wouldn't that be the opportunity to eat NVIDIA's lunch?

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1. test6554 ◴[13 Feb 24 05:21 UTC] No.39354718[source]▶
Nvidia controls CUDA the software spec, Nvidia also controls the hardware CUDA runs on. The industry adopts CUDA standards and uses the latest features.

AMD cannot keep up with arbitrarily changing hardware and software while trying to please developers that want what was just released. They would always be a generation behind at tremendous expense.