Best Mini PCs for Running Local AI in 2025 (Under $500)
Why Mini PCs Are Perfect for Local AI
Mini PCs have quietly become the go-to hardware for local AI home labs. They are small, quiet, energy-efficient, and — most importantly — affordable. You do not need a $3,000 workstation to run a capable language model locally.
In this guide, we tested six popular mini PCs under $500 for their ability to run quantized LLMs using Ollama and LM Studio. We measured tokens per second, RAM bandwidth, and thermals under sustained load.
What to Look For
For local AI inference, the most important specs are:
- Unified memory (RAM): The model must fit in RAM. For a 7B model at Q4 quantization, you need at least 6GB. For 13B, you need 10GB.
- Memory bandwidth: This is the real speed bottleneck, not CPU clock speed.
- Thermal headroom: Sustained LLM inference runs your CPU at 100% for minutes at a time. Cheap mini PCs throttle badly.
Top Picks
1. Beelink SER8 — Best Overall ($389)
The Beelink SER8 with AMD Ryzen 7 8745HS and 32GB DDR5 is our top pick. It runs Llama 3 8B at approximately 12 tokens per second at Q4_K_M quantization. The 32GB unified memory means you can run 13B models comfortably.
2. Minisforum UM790 Pro — Runner Up ($349)
The Minisforum UM790 Pro packs the Ryzen 9 7940HS with integrated Radeon 780M graphics. The iGPU can be used for partial GPU offloading with Ollama, boosting throughput to roughly 15 t/s on 7B models.
3. GMKtec NucBox M5 Pro — Budget Pick ($189)
For those on a tight budget, the NucBox M5 Pro with the N97 processor and 16GB DDR4 is surprisingly capable. Expect 4–6 tokens per second on 7B models — slow but functional for testing and development.
Comparison Table
| Model | CPU | RAM | 7B t/s | Price |
|---|---|---|---|---|
| Beelink SER8 | Ryzen 7 8745HS | 32GB DDR5 | ~12 | $389 |
| Minisforum UM790 Pro | Ryzen 9 7940HS | 32GB DDR5 | ~15 | $349 |
| GMKtec NucBox M5 Pro | Intel N97 | 16GB DDR4 | ~5 | $189 |
Final Recommendation
If you are serious about local AI and can stretch to $350–$400, get the Beelink SER8 or Minisforum UM790 Pro. Both handle 13B models, run cool, and have a strong community of home lab users.
FAQ
Can mini PCs run LLMs without a GPU? Yes. Modern mini PCs with integrated AMD Radeon graphics can partially offload to the iGPU, and CPU inference on fast DDR5 is usable for everyday tasks.
How much RAM do I need for local AI? 16GB is the minimum for useful 7B model inference. 32GB opens up 13B models and multi-turn conversations with longer context.
What software do I use to run LLMs on a mini PC? Ollama is the easiest starting point. LM Studio offers a GUI. Both support the same GGUF model format.
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