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1045 points mfiguiere | 1 comments | | HN request time: 0s | source
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Keyframe ◴[] 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 ◴[] 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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pheatherlite ◴[] No.39351685[source]
The only reason our lab bought 20k worth of Nvidia gpu cards rather than amd was the cuda industry standard (might as wellbe). It's kind of mind boggling how much business amd must be losing over this.
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1. Modified3019 ◴[] No.39352937[source]
That was a good decision. The amount of lamenting engineers I’ve seen over the years who’ve been given the task of trying to get more affordable AMD cards to work with enterprise functionality is nontrivial. AMD nearly borders on hostility with its silence, even if you want to throw millions at them, it’s insane.

At least Nvidia, which I fucking hate, will happily hold out their hand for cash even from individuals.

So now we’re in a hilarious situation where people from hobbyists to enterprise devs are hoping for intel to save the day.