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[ARTICLE · art-134556] src=tokenstead.ai ↗ pub= topic=ai-infrastructure verified=true sentiment=· neutral

Theo's 4x Mac Mini cluster

Theo (@theo) shared a photo on X of a four-node Mac Mini cluster named ProMini, Mini10g, DeskMini, and ClawMini, networked over 10GbE with roughly 96GB of aggregate unified memory across four 24GB nodes, or 192GB if each box uses the 48GB configuration. No tokens-per-second figures have been published for the 4x M4 Pro setup, which trades single-stream latency for total capacity to serve larger models than any single Mac Mini can hold.

read1 min views1 publishedSep 19, 2026
Theo's 4x Mac Mini cluster
Image: Tokenstead (auto-discovered)

4 nodes / 96GB aggregate / 10GbE

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This rig was shared first on X. Reply there or discuss it below.

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About this rig #

Theo (@theo) stacked four Mac Mini units on a desk: ProMini, Mini10g, DeskMini, and ClawMini. The photo went viral as a compact, Apple-shaped homelab. No published tok/s numbers yet, but a 4x M4 Pro cluster is an interesting local-inference shape: roughly 96GB of unified memory across four 24GB nodes, or 192GB if each box is the 48GB config, networked over 10GbE or Thunderbolt. Splitting inference across four small boxes trades single-stream latency for total capacity and the ability to serve larger models than any one Mini can hold.

Original post: https://x.com/theo/status/2087333167233749214

Components #

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