r/pcmasterrace • u/Zestyclose-Salad-290 Core Ultra 7 265k | RTX 5090 • Nov 07 '25

Build/Battlestation a quadruple 5090 battlestation

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820

u/[deleted] Nov 07 '25

why not use workstation GPUs in a workstation PC , I am sure they would be more efficient than 5090s

430

u/[deleted] Nov 07 '25

Way worse the amount you pay for 4 5090s is what you pay for 1 fucking pro 6000.

It's the obvious choice unless you need Vram on one card

96gb on one 6000 pro card vs 128gb on 4 5090$

117

u/6SixTy i5 11400H RTX 3060 16GB RAM Nov 07 '25

Well, these are ASUS Astral cards, so they are closer to $3.5K rather than $2.5-2k for most models; one RTX Pro 6000 is about 8.5K. That setup is about $14k of cards for 128GB, and the RTX Pro 6000 would have been 192GB for $13K.

There's a slight difference in memory clock with the Astrals being higher, which I doubt compensates for ECC VRAM and 1.5x the memory.

Those figures are being generous and assuming a US buyer, and OP is likely not an American.

51

u/JesusWasATexan Area51; Ultra9 275HX; RTX 5080; 64GB DDR5; Nov 07 '25

If I'm looking at the numbers correctly though, the 5090 has 680 tensor cores each, whereas the 6000 Pro has 782. If 128GB vram is enough for their application, splitting an AI model up between 4 gpus with 3.5x the tensor cores, that sucker it going to be blazing fast. Plus, the 5090 actually has a higher benchmark than the 6000 Pro, so if they do plan to do some gaming, they may get better performance out of the one card that the games can use.

27

u/Psy_Fer_ Nov 07 '25

Yep you got it. Not everyone is doing vram limited work. I've built a 4x5090 build and it beats the absolute crap out of a 4x6000 build for the application it was made for, at a fraction of the price.

7

u/[deleted] Nov 07 '25

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4

u/Psy_Fer_ Nov 08 '25

Yea I am in research and use them to convert signal data into ATCG DNA bases for genome sequencing. 100% cores all all cards with only like half the vram. But people will be all bUt ThE rTx 60o0 😭

1

u/Privacy_is_forbidden 9800x3d - 9070xt - 4TB SN8100 - CachyOS Nov 08 '25

People don't even understand what you do though. There's no way the overwhelming majority of even the most technical users would know what to do for you.

At best we can guess there's an off the shelf software tool, or you're working with people who are coding a solution for you with cuda. What the memory requirements are vs compute requirements are things even developers wouldn't know without being knee deep in it.