Best AI Mini PCs for Local LLM

The Mac mini M4 Pro delivers exceptional performance and energy efficiency in a compact form factor, with its M4 Pro processor and 64 GB unified memory handling demanding multitasking tasks effortlessly. PCMag's Joe Osborne praised its silent operation and powerful specs, while Notebookcheck's Sebastian Bade noted its impressive build quality and high price point. However, reviewers consistently criticized the lack of upgradability, expensive configuration options, and limited warranty coverage. For local-LLM use, the 273 GB/s memory bandwidth makes it the fastest 64GB-class mini PC at this price; reviewer benchmarks put 70B Q4 inference at roughly 8–10 tokens/sec, making it ideal for buyers who need 70B-class models on a Mac. Step up to a Mac Studio if you need to run 120B+ models locally.

The GMKtec EVO-X2 stands out as the best 128 GB-class mini PC for buyers who actually need to fit a 120B-parameter local model. PCWorld praised its 'excellent combination of CPU, GPU, and NPU performance at desktop workstation level,' while TechRadar highlighted that it competes directly with Nvidia's DGX Spark at roughly half the price. The XDNA 2 NPU contributes 50 TOPS to a 126 TOPS platform total when CPU and Radeon 8060S iGPU are factored in. With 128 GB LPDDR5X unified memory at 256 GB/s, it comfortably loads GPT-OSS 120B Q4 (~70 GB) and gives strong single-user inference for 70B-class models in the 6–8 tokens/sec range. It loses to the Mac mini M4 Pro on overall reviewer rating (4.4 vs 4.6) primarily because reviewers weight build polish and ecosystem; for raw RAM headroom on Linux/Windows, the EVO-X2 is the more capable machine.

The Framework Desktop puts AMD's Strix Halo silicon into an open, repairable chassis aimed squarely at local AI. PCWorld awarded it 4.5/5 and an Editors' Choice, writing that 'it's not just for tinkering, this machine can legitimately run the latest AI models locally, something few desktops this size can do.' With 128 GB of LPDDR5X-8000 unified memory, AMD's driver can assign up to 96 GB as VRAM, enough to run GPT-OSS 120B, which AMD says runs about ten times faster than Llama 3 70B on this chip. ServeTheHome called it 'our third-favorite AMD Strix Halo mini PC so far,' and Tom's Hardware noted 'the mix of powerful graphics and plentiful RAM is why Framework is pushing this as an AI system.' It runs Windows or Linux, so the full open-source AI stack is available, unlike on the Mac Studio. Bandwidth and price are the limits.

The Beelink GTR9 Pro is the same AMD Ryzen AI Max+ 395 / 128 GB LPDDR5X silicon as the GMKtec EVO-X2 — same 50 TOPS NPU, same 126 TOPS platform total, same memory ceiling — with two distinguishing features: dual 10GbE Intel E610 networking and an industrial-grade metal chassis. Reviewers at jasondeegan.com, starryhope, and minipcreviewer praised its workstation-class AI performance and high-bandwidth networking, while one outlier review flagged firmware-stage BSOD issues that pulled the averaged rating down to 3.6/5. Pick this over the EVO-X2 specifically if you want to cluster two boxes for distributed inference or share a 10GbE NAS at line rate. Otherwise, the EVO-X2 delivers the same LLM throughput for $300 less.