The whole point of spending that much money for them is to run massive models, like the full R1, which the Pro 6000 cant
And you are never going to sit around waiting for anything larger than the 96+gb of ram that the RTX pro has.
If you’re using it for background tasks and not coding it’s a different story
Am I the only person that gives aider instructions and leaves it alone for a few hours? This doesn't seem that difficult to integrate into my workflow.
Probably not, but in my experience, if it takes longer than 10-15 minutes it's either stuck in a loop or down the wrong rabbit hole. But I don't use it for vibe coding or anything "big scope" like that, but more focused changes/refactors so YMMV
Meaning, I pre-parse multiple documents, and the prompt and completion attention sees all of them, but there is no attention between the documents (they are all encoded in the same overlapping positions).
This way you can include basically unlimited amount of data in the prompt, paying for it with the perfomance.
What is optimized is the ability to find tune medium size models (~200GB) / $
You just can't get 500GB of VRAM for less than $100k. Even with $9k Blackwell cards, you have $10k in a barebones GPU server. You can't use commodity hardware and cluster it because you need fast interconnects. I'm talking 200-400GB/s interconnects. And those take yet another PCIe slot and require expensive Infiniband switches.
Shit gets costly fast. I consternated about this purchase for weeks. Eventually deciding that it's the easiest path to success for my purposes. Not for everyone's, but for mine.
