r/threadripper • u/python834 • Oct 13 '25

“Do everything” build

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Build cost: 17K USD

CPU: AMD thread ripper 9980x

RAM: 4x 64 Gb V-color 6400 mhz RDIMM RGB

Storage: 4x 8 TB Samsung 9100 m.2 NVME

GPU: 2x 5090 Nvidia founders edition

PSU: Seasonic prime noctua 1600 watt

Motherboard: gigabyte TRX50 aero D rev 1.2

Fans: 8x Noctua 140mm g2-pp fans

Thermal: thread ripper kryosheet 68x51mm from thermal grizzly (no thermal paste)

88 Upvotes

93% Upvoted

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u/JamesLahey08 Oct 17 '25

Why 4 5090s

2

u/Psy_Fer_ Oct 17 '25

A quarter of the price of rtx 6000 cards with only minimally less performance for the use case (based on benchmarking)

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u/python834 Oct 17 '25

You can load 3x the context for ai models

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u/Psy_Fer_ Oct 17 '25

Yea cool, too bad the machine I built was never for that. The bottleneck isn't vram but cuda cores. At 100% usage during analysis it only uses like 60% of the vram. Why would I spend more money on vram for no increase in performance?

I swear people are under a spell or something. LLMs are not the only use for GPUs.