# Best local LLM for AMD Strix Halo mini PCs and AI boxes

URL: https://insidethemachine.ai/best/local-llm-for-mini-pc
Data: machines 2026-10-15, models 2026-10-15. These small boxes share up to 128 GB or more between the CPU and graphics, like a Mac. They fit big models for less money, but are usually slower per token than a Mac Studio.

| machine | memory GB | usable GB | bandwidth GB/s | models that fit | best fit | needs GB |
|---|---|---|---|---|---|---|
| NVIDIA DGX Spark (128GB) | 128 | 96 | 273 | 90 | Qwen3.8 27B | 22.7 |
| DGX Spark 64GB (partner GB10 systems) | 64 | 48 | 273 | 77 | Qwen3.8 27B | 22.7 |
| Framework Desktop (Ryzen AI Max+ 395) | 64 | 48 | 256 | 77 | Qwen3.8 27B | 22.7 |
| Framework Desktop (Ryzen AI Max+ 395) | 128 | 96 | 256 | 90 | Qwen3.8 27B | 22.7 |
| GMKtec EVO-X2 (Ryzen AI Max+ 395) | 64 | 48 | 256 | 77 | Qwen3.8 27B | 22.7 |
| GMKtec EVO-X2 (Ryzen AI Max+ 395) | 128 | 96 | 256 | 90 | Qwen3.8 27B | 22.7 |
| Minisforum MS-S1 MAX (Ryzen AI Max+ 395) | 64 | 48 | 256 | 77 | Qwen3.8 27B | 22.7 |
| Minisforum MS-S1 MAX (Ryzen AI Max+ 395) | 128 | 96 | 256 | 90 | Qwen3.8 27B | 22.7 |
| Bosgame M5 (Ryzen AI Max+ 395) | 128 | 96 | 256 | 90 | Qwen3.8 27B | 22.7 |
| Beelink GTR9 Pro (Ryzen AI Max+ 395) | 128 | 96 | 256 | 90 | Qwen3.8 27B | 22.7 |
| GMKtec EVO-X5 Pro (Ryzen AI Max+ PRO 495 "Gorgon Halo") | 192 | 159.9 | 273 | 94 | Qwen3.8-Flash-Next (125B-A6B) | 140 |
| Minisforum MS-S1 MAX-P495 (Ryzen AI Max+ PRO 495 "Gorgon Halo") | 192 | 159.9 | ? | 94 | Qwen3.8-Flash-Next (125B-A6B) | 140 |
| Gigabyte W775-V10-L01 (DGX Station GB300) | 252 | 251 | 7100 | 97 | GLM-5.3-Flash | 233 |
| ASUS ProArt GR1X (NVIDIA RTX Spark) | 64 | 48 | ? | 77 | Qwen3.8 27B | 22.7 |
| ASUS ProArt GR1X (NVIDIA RTX Spark) | 128 | 96 | ? | 90 | Qwen3.8 27B | 22.7 |
| iBUYPOWER Pro AMD AI Halo Mini PC (Ryzen AI Max+ PRO 495) | 128 | 96 | ? | 90 | Qwen3.8 27B | 22.7 |
| Microsoft Surface RTX Spark Dev Box (128GB) | 128 | 96 | ? | 90 | Qwen3.8 27B | 22.7 |
| AMD Ryzen AI Halo Developer Platform (Ryzen AI Max+ PRO 495, 192GB) | 192 | 159.9 | ? | 94 | Qwen3.8-Flash-Next (125B-A6B) | 140 |

## Published speeds (decode tokens/sec, not our tests)

- NVIDIA DGX Spark (128GB): gpt-oss-120b 55.37 tok/s (llama.cpp, MXFP4, ) source: https://developer.nvidia.com/blog/how-nvidia-dgx-sparks-performance-enables-intensive-ai-tasks/ (2025-10-24)
- NVIDIA DGX Spark (128GB): gpt-oss-20b 82.74 tok/s (llama.cpp, MXFP4, ) source: https://developer.nvidia.com/blog/how-nvidia-dgx-sparks-performance-enables-intensive-ai-tasks/ (2025-10-24)
- Framework Desktop (Ryzen AI Max+ 395): gpt-oss-120b 54 tok/s (llama.cpp Vulkan, MXFP4 (GGUF), Framework Desktop 128GB (llama-bench pp512/tg128)) source: https://llamaperf.com/model/gpt-oss (2026-10-15)
- GMKtec EVO-X2 (Ryzen AI Max+ 395): gpt-oss-120b 46.05 tok/s (llama.cpp ROCm (llama-bench), MXFP4 (GGUF), EVO-X2 128GB, Ubuntu 24.04 (Nish Tahir, 2025-10-23)) source: https://llamaperf.com/model/gpt-oss (2026-10-15)
- Minisforum MS-S1 MAX (Ryzen AI Max+ 395): gpt-oss-20b 75.7 tok/s (llama.cpp ROCm 7.1, UD-Q4_K_XL, ) source: https://llamaperf.com/model/gpt-oss (2026-10-15)
- Minisforum MS-S1 MAX-P495 (Ryzen AI Max+ PRO 495 "Gorgon Halo"): qwen3.5-397b-a17b 16 tok/s (engine?, quant?, two 192GB units clustered) source: https://store.minisforum.com/products/minisforum-ms-s1-max-p495-ai-workstation (2026-10-16)

## Questions

**What is the best local LLM for the smallest Mini PC?**
With 64 GB (DGX Spark 64GB (partner GB10 systems)), the best fit is Qwen3.8 27B (needs 22.7 GB). 77 models fit.

**Which Mini PC runs the smartest local model?**
Gigabyte W775-V10-L01 (DGX Station GB300) with 252 GB runs GLM-5.3-Flash (AA 41.8, about 73% of Claude Opus 5.5).

**What matters more, memory or speed?**
Memory decides which models fit at all. Bandwidth (GB/s) decides how fast they answer. Pick memory first, then the fastest machine you can afford with that memory.