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Best Mini PCs for Local AI Inference (2026)

Compact AI workstations reviewed for local LLM inference, Stable Diffusion, and home AI servers.

mini pcUNIFIED MEM: 24 GB

Apple Mac Mini (M4 Pro, 2024)

The Apple Mac Mini M4 Pro is the best compact AI workstation for local LLM inference in 2026. With up to 64GB of unified memory accessible at 273GB/s and a 14-core CPU, it can run 70B parameter models quantized to 4-bit with no external GPU required.

Rating4.8/5
mini pcUNIFIED MEM: 16 GB

Apple Mac Mini (M4, 2024)

The Apple Mac Mini M4 is the most affordable path to Apple Silicon AI inference in 2026. With 16GB of unified memory at 120 GB/s bandwidth and a 10-core CPU, it runs 7B models at 40–60 tokens/second via Ollama — faster than any competing mini PC at the same price.

Rating4.7/5
mini pcUNIFIED MEM: 32 GB

Beelink SEi14 Mini PC (Intel Core Ultra 7)

The Beelink SEi14 is a mid-range Windows mini PC with Intel Core Ultra 7 NPU for on-device AI acceleration. Its 32GB DDR5 and Intel Arc integrated graphics make it one of the most capable budget Windows options for local LLM inference in 2026, with Copilot+ PC certification.

Rating4.5/5
mini pcUNIFIED MEM: 32 GB

GMKtec NucBox M5 Pro Mini PC

The GMKtec NucBox M5 Pro is the best budget entry point for local AI inference in 2026. Powered by an AMD Ryzen 9 processor with Radeon 780M integrated graphics, it runs 7B models via Ollama and supports Windows 11 with full CUDA-compatible tooling via ROCm.

Rating4.3/5