[Auracle]

That’s not massive, though. Make it 96GB at $2,000 (ok, probably impossible right now, but they could have before the surge in prices) and you’ll see developers work really hard to make AI tooling work for their cards, CUDA be damned. The same goes for AMD.

It’s like they both want to rely on market segmentation for VRAM too but fail to realize that it’s their only potential inroad right now.

[zozbot234]

If you buy three 32GB GPUs, that's 96GB total at a very reasonable price. An AI model splits easily by layers, so running on multiple GPUs is quite feasible.

[schubidubiduba]

Doesn't split as easily on an Intel GPU as ona NVIDA GPU though, regarding software support. Sure, it's probably not too difficult if you know what you're doing, but not sure how big that market would be.