24 karma · joined August 30, 2025
Most AI developers don't actually use CUDA directly, they use programming libraries like PyTorch that use CUDA under the hood to communicate with the GPU to run tasks in parallel.
CUDA is pretty much the standard and is supported anywhere it's relevant.
Just creating an alternative is pretty meaningless if it isn't actually supported anywhere.
Adding support isn't easy, and there's also stability issues, bugs, etc. People want something that works and is reliable (= CUDA, since it's battle-tested).
That's the same flawed argument that people have used to expect Huawei to replace Android/EUV.
Before everyone jumps in with GDP per capital with PPP, what quality at that low price means is tofu dreg buildings, cancerous food items, waist high flooding every summer in cities, ghost buildings, and unsafe water (recently one of the most prosperous city, Hangzhou, had sewage seeped into the water for weeks, which the local government denied responsibility).