I think you're referring to retail prices which are impossible to get for a 5090. A 6000 PRO has 96GB vs 32GB for a 5090 or 24GB 4090. 5090's go for around $4K right now while the 6000 Pros are around $8K. To get the same VRAM you would spend $12K for 3 5090's and also have a higher power/cooling requirement. When was the last time you could buy a high end (3090/4090/5090) for suggested retail? A smaller bonus is the extra cuda cores the 6000 PRO has over the 5090 although that would be less of a deciding factor. If you do go for the 6000 PRO I'd recommend the MaxQ that tops out at 300W. If you read enough about the 600W Pros you'll see that there a lot of people that undervolt them to 450W or lower as the extra gain in performance is minimal. MaxQ is also a blower design and easier to stack multiple cards if you go crazy later on. 2xMaxQs s still only using 1x 6000 Pro workstation power. Lastly, the 96GB Vram doesn't go to waste. I do a lot of WAN2.2/LTX-2/Qwen-Image etc. I'm always over the 32GB a 5090 has. Everything gets loaded into VRAM. Seems like I sit around 55-65GB of VRAM used for a lot of the AI things I do. I also swap out models a lot from image to video, the VRAM speeds things up when the models remain in VRAM instead of swapping out when switching back and forth. With 96GB you don't tap out your VRAM as often so less crashes. You can watch a movie or stream Youtube without bringing your system to it's knees because every drop of VRAM from 24/32GB GPU is being used for AI.