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Llama Builds

Builds

Real AI rigs, with every part and price

Proven builds for running LLMs at home, from reused gaming PCs to twelve-GPU monsters. Each one shows what it costs and which models it runs.

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Editor's picks

Black JONSBO Z20 case with an orange carry handle and orange-accented perforated panel, its glass side showing an MSI GeForce RTX graphics card and an AMD stock cooler, on a sunlit wooden desk.
Editor's pick
$1,250

Budget · 16GB VRAM

GPUter

Budget single-GPU Blackwell inference and training rig

RTX 5060 Ti 16GB

Black HYTE Y40 case with purple-lit fans, an MSI triple-fan RTX 3090, and a Thermalright AIO cooler on an MSI motherboard.
Editor's pick
$1,804

Mid-range · 24GB VRAM

Sleeper 3090

Updated single-GPU NVIDIA RTX 3090 workstation

RTX 3090

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Frequently asked questions

How much does a PC for running local LLMs cost?

A capable entry-level machine starts around $600 if you reuse an older PC and add a 12GB GPU. A single used RTX 3090 build with 24GB of VRAM costs roughly $1,500–2,000. Multi-GPU rigs that run 70B+ models start around $3,000 with used cards and go well past $10,000 with workstation GPUs.

Do I need a powerful CPU for local AI?

Not really. When the model fits in VRAM, the GPU does nearly all the work. Spend on GPU memory first; a mid-range CPU is fine. CPU, RAM bandwidth, and RAM capacity only start to matter when you offload part of a model to system memory.

How much system RAM do I need for an AI PC?

At least as much RAM as you have VRAM, and ideally double, so models load quickly and you have room to offload. 32GB is a sensible minimum for a single-GPU build; 64–128GB if you plan to run mixture-of-experts models with CPU offload.