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Decision & Comparison

Best Mini PCs for Home Assistant + Local AI (2026)

·8 min read·By Hans Kuepper · Founder of PromptQuorum, multi-model AI dispatch tool · PromptQuorum

The best all-round mini PC for Home Assistant plus a local LLM in 2026 is the Beelink SER8 (Ryzen 7 8845HS, Radeon 780M, 32 GB) at about $650 — it runs the hub, Frigate, and a 7B model on Ollama on one box. For a budget or fanless build, an Intel N150 box like the Beelink EQ14 or GMKtec G3 Plus (about $180–230) runs Home Assistant and a small model. Prioritise RAM and the iGPU over raw CPU clock for AI latency.

The best mini PC for Home Assistant plus a local LLM on one box in 2026 is the Beelink SER8 (Ryzen 7 8845HS, Radeon 780M, 32 GB) at about $650, which runs the hub, Frigate, and a 7B model via Ollama. On a budget, an Intel N150 box like the Beelink EQ14 or GMKtec G3 Plus (about $180–230) runs Home Assistant and a small model. This buyer's guide compares the main mini PC classes, weighs budget against performance, and covers setup notes — cross-linking to the local-llms hardware guide for VRAM depth.

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Key Takeaways

  • Prioritise RAM and a capable integrated GPU or NPU over raw CPU clock
  • A low-power Intel N-series mini PC runs Home Assistant and a very small model
  • An AMD Ryzen or Intel Core i-series mini PC with a strong iGPU handles a 7B model
  • One mini PC can run Home Assistant, Ollama, Whisper, and Frigate together
  • More RAM lets you run a larger model alongside the hub
  • See the cross-cluster local-llms hardware guide for VRAM specifics

What You Need for HA + LLM on One Box

You need enough RAM to hold the model plus Home Assistant, and a capable iGPU or NPU to keep the model responsive. CPU clock is secondary for this workload.

  • RAM: enough headroom for the model size you want plus the hub and add-ons.
  • Graphics/NPU: a capable integrated GPU or NPU lowers LLM and Whisper latency.
  • Storage: room for recordings if you also run Frigate — see local AI security cameras.

The Mini PC Classes

Three classes cover most needs: low-power N-series for light AI, Ryzen/Core i-series with a strong iGPU for a 7B model, and NPU-equipped mini PCs for efficient on-device AI. Pick by the model size you want.

  • Low-power Intel N-series: efficient and cheap; runs Home Assistant and a very small model, slower on AI. Example: Beelink EQ14 or GMKtec G3 Plus (Intel N150).
  • AMD Ryzen / Intel Core i-series with strong iGPU: more RAM and graphics headroom for a 7B model at usable latency. Example: Beelink SER8 (Ryzen 7 8845HS, Radeon 780M) or Minisforum UM890 Pro.
  • NPU-equipped mini PCs: newer machines with a neural processing unit; the strong integrated GPU — not the NPU — does the local-LLM work, while the NPU helps vision tasks like Frigate. Example: GEEKOM A9 Max (Ryzen AI 9 HX 370).
Beelink EQ14 (Intel N150)product link · disclosedGMKtec G3 Plus (Intel N150)product link · disclosedBeelink SER8 (Ryzen 7 8845HS)product link · disclosedMinisforum UM890 Proproduct link · disclosedGEEKOM A9 Max (Ryzen AI 9 HX 370)product link · disclosed

Comparison

Match the class to your target model: N-series for a tiny model, Ryzen/Core i with a strong iGPU for a 7B model. Prices are relative.

Mini PC classCPURAM guidanceRuns a local LLMRelative price
Low-power N-seriesIntel N-seriesModerateVery small models, slowerLow
Ryzen / Core i (strong iGPU)AMD Ryzen / Intel Core iAmpleUp to ~7B at usable latencyMedium
NPU-equippedModern CPU + NPUAmpleEfficient small/medium modelsMedium–High

Budget vs Performance

Buy the cheapest box that runs your target model at acceptable latency — usually a Ryzen/Core i mini PC with a strong iGPU for a 7B model. Do not overspend on CPU you will not use.

  • Budget: a low-power N-series box for HA plus a tiny model.
  • Balanced: a Ryzen/Core i mini PC with a strong iGPU for a 7B model.
  • For the broader hardware decision (Pi vs mini PC vs NAS), see best hardware for a local smart home.

Setup Notes

Run Home Assistant OS or a container, install Ollama, and confirm the iGPU/NPU is used for inference. Keep the box wired to your network for reliability.

Frequently Asked Questions

Can one mini PC do both Home Assistant and a local LLM?

Yes. A mini PC with enough RAM and a capable integrated GPU or NPU runs Home Assistant and a small local LLM together, and can add Whisper and Frigate. This single-box approach is the simplest way to get a local-AI smart home.

How much RAM do I need?

Enough to hold your target model plus Home Assistant and any add-ons. A small model needs only modest RAM, while running a 7B model comfortably alongside the hub benefits from ample RAM. Match RAM to the largest model you plan to run.

Intel or AMD for a Home Assistant mini PC?

Both work. A low-power Intel N-series box is cheapest for light use; an AMD Ryzen or Intel Core i mini PC with a strong integrated GPU handles a 7B model better. Choose based on the model size and latency you want.

What is the cheapest mini PC that runs a local LLM?

A low-power Intel N-series mini PC is the cheapest that can run Home Assistant plus a very small model, though responses are slower. For a snappier 7B-class assistant, step up to a Ryzen or Core i mini PC with a strong iGPU.

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