Machine learning pays my bills, and I never had a choice on my graphics card brand. To be sure, I wanted an AMD for the open source drivers, but CUDA remains essential to me. RocM support from AMD is a joke, and isn’t anywhere close to an alternative. Reseachers release code that only runs on CUDA for a good reason. To say that I don’t get to complain is going too far
Exactly. You’d think with the two things they’re really competitive on being raw flops and memory, they’d be a viable option for ML and scientific compute, but they’re just such a pain to work with that they’re pretty much irrelevant.
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Machine learning pays my bills, and I never had a choice on my graphics card brand. To be sure, I wanted an AMD for the open source drivers, but CUDA remains essential to me. RocM support from AMD is a joke, and isn’t anywhere close to an alternative. Reseachers release code that only runs on CUDA for a good reason. To say that I don’t get to complain is going too far
That’s true, but it also wasn’t fair to be a Wayland detractor then.
Nvidia needed to do stuff to make that combination viable, and their delay in doing so wasn’t anyone’s fault but Nvidia’s
Exactly. You’d think with the two things they’re really competitive on being raw flops and memory, they’d be a viable option for ML and scientific compute, but they’re just such a pain to work with that they’re pretty much irrelevant.
You get to complain to Nvidia, not Linux developers and maintainers.