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Reference builds

Six configs, one per profile - from the cheapest new-parts build to an 8-GPU cluster node. Every component and total is computed from the same dataset the builder uses.

updated 16 Sept 2026

Budget AI Lab

The cheapest all-new-parts build that still runs a useful local model. For testing the waters before committing to a bigger rig.

$1,74816 GB VRAM1× GPU352 W

Open the build ->

Home AI Lab

One fast GPU in a quiet tower. For an individual running models locally - no rack, no server-room noise.

$3,83832 GB VRAM1× GPU919 W

Open the build ->

Prosumer Mini Rack

Two GPUs, ECC memory and real storage in a small 4U rack. For the advanced individual or indie hacker.

$6,54948 GB VRAM2× GPU1254 W

Open the build ->

Small Business Private AI

A local server that a team can rely on: redundancy, backup, UPS and 96 GB of ECC VRAM.

$15,88996 GB VRAM2× GPU1144 W

Open the build ->

Company AI Server

A proper GPU server: 4-8 cards, redundant power, BMC management and fast networking, for a company that has outgrown a workstation.

$51,270192 GB VRAM4× GPU1947 W

Open the build ->

Private AI Cluster

Multiple GPU nodes, shared storage and a high-speed fabric. Priced per node - plan for three or more.

$69,670384 GB VRAM8× GPU3047 W

Open the build ->

Concepts on this page

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