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$5,000 AI Workstation Build

A $5,000-class AI workstation build for local LLMs around the 32 GB RTX 5090.

Last updated21 Oct 2026
Fact-checked21 Oct 2026
Sources cited3
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A $5,000 workstation centres on the RTX 5090 (32 GB, 1,792 GB/s).

PartChoicePrice / what to check
GPUGeForce RTX 5090 (32 GB)$1,999 launch MSRP
CPUCurrent 6–8 core desktop CPUAny recent 6–8 core chip is enough; LLM speed depends on the GPU
MotherboardMatching socketA budget board is fine; check PCIe x16 slot
RAM32 GB DDR5Two sticks for dual-channel; see RAM prices
Storage1–2 TB NVMe SSDA Q4 70B model file is ≈40 GB; leave room for several models
PSUPer GPU maker's recommendationUse the wattage on the GPU maker's spec page
CaseFits GPU length/thicknessCheck the case's max GPU length against the card

Only GPU prices are cited (NVIDIA launch MSRP). Other parts are listed with what to check rather than a price, because we do not yet track live prices; the total may differ from the headline budget. Target example: Qwen3 32B at Q4 needs ≈23 GB.

VRAM and bus width from NVIDIA spec pages; bandwidth from Wikipedia series tables (not listed on NVIDIA pages); MSRPs from NVIDIA press releases. Current street prices: TBD.

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