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$2,000 AI PC Build for LLMs

A $2,000-class PC build for running LLMs locally, built around a 16 GB RTX 5070 Ti or 5080.

Last updated21 Oct 2026
Fact-checked21 Oct 2026
Sources cited4
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At about $2,000 a 16 GB RTX 5070 Ti or 5080 gives more bandwidth than the 5060 Ti; for more VRAM, consider a used 24 GB card.

PartChoicePrice / what to check
GPUGeForce RTX 5070 Ti (16 GB)$749 launch MSRP
GPUGeForce RTX 5080 (16 GB)$999 launch MSRP
CPUCurrent 6–8 core desktop CPUAny recent 6–8 core chip is enough; LLM speed depends on the GPU
MotherboardMatching socket, two x16-size slotsCheck slot spacing for two cards and x8/x8 lane support
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: gpt-oss-20b (MoE) at Q4 needs ≈14 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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