Not sure why you'd want this over an apple setup. M4 max is 545GB/s of memory bandwidth - $2k for an entire Mac Studio with 48GB of RAM vs 32 for the B70.
How many compatibility issues is MacOS realistically expected to spur? Windows DX felt unusable to me without a Linux VM (and later WSL), but on MacOS most tooling just kinda seems to work the same.
Running dual Pro B60 on Debian stable mostly for AI coding.
I was initially confused what packages were needed (backports kernel + ubuntu kobuk team ppa worksforme). After getting that right I'm now running vllm mostly without issues (though I don't run it 24/7).
At first had major issues with model quality but the vllm xpu guys fixed it fast.
Software capability not as good as nvidia yet (i.e. no fp8 kv cache support last I checked) but with this price difference I don't care. I can basically run a fp8 local model with almost 100k token context and that's what I wanted.
There was the video a little while back where LTT built a computer for Linus Torvalds and they put an Intel Arc card inside, so I'd imagine Linux support is at the very least, acceptable.
~$1000 for the Pro B70, if Microcenter is to be believed:
https://www.microcenter.com/product/709007/intel-arc-pro-b70...
https://www.microcenter.com/product/708790/asrock-intel-arc-...
https://www.bhphotovideo.com/c/product/1959142-REG/intel_33p...
When 32GB NVIDIA cards seem to start at around $4000 that's a big enough gap to be motivating for a bunch of applications.
I was initially confused what packages were needed (backports kernel + ubuntu kobuk team ppa worksforme). After getting that right I'm now running vllm mostly without issues (though I don't run it 24/7).
At first had major issues with model quality but the vllm xpu guys fixed it fast.
Software capability not as good as nvidia yet (i.e. no fp8 kv cache support last I checked) but with this price difference I don't care. I can basically run a fp8 local model with almost 100k token context and that's what I wanted.
[1] https://www.youtube.com/watch?v=mfv0V1SxbNA