AMD unless you’re actually running AI/ML applications that need a GPU. AMD is easier than NVidia on Linux in every way except for ML and video encoding (although I’m on a Polaris card that lost ROCm support [which I’m bitter about] and I think AMD cards have added a few video codecs since). In GPU compute, Nvidia holds a near-dictatorship, one which I don’t necessarily want to engage in. I haven’t ever used an Intel card, but I’ve heard it seems okay. Annecdotally, graphics support is usable but still improving for gaming. Although its AI ecosystem is immature, I think Intel provides special Tensorflow/Torch modules or something, so with a bit of hacking (but likely less than AMD) you might be able to finagle some stuff into running. Where I’ve heard these shine, though, is in video encoding/decoding. I’ve heard of people buying even the cheapest card and having a blast in FFMPEG.
Truth be told, I don’t mess with ML a lot, but Google Colab provides free GPU-accelerated Linux instances with Nvidia cards, so you could probably just go AMD or Intel and get best usability while just doing AI in Colab.