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.
- AMD Ryzen / Intel Core i-series with strong iGPU: more RAM and graphics headroom for a 7B model at usable latency.
- NPU-equipped mini PCs: newer machines with a neural processing unit accelerate on-device AI efficiently.
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.
- For VRAM and quantization depth, see the cross-cluster best mini PCs for local LLMs.
| Mini PC class | CPU | RAM guidance | Runs a local LLM | Relative price |
|---|---|---|---|---|
| Low-power N-series | Intel N-series | Moderate | Very small models, slower | Low |
| Ryzen / Core i (strong iGPU) | AMD Ryzen / Intel Core i | Ample | Up to ~7B at usable latency | Medium |
| NPU-equipped | Modern CPU + NPU | Ample | Efficient small/medium models | Medium–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.
- Install Home Assistant — see getting started.
- Install Ollama and pull a small model — see how to install Ollama.
- Wire Ollama into Home Assistant — see the Ollama integration guide.
FAQ
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.