Written by Jakub Rusinowski · Last updated June 3, 2026
Yes — comfortably
Yes, comfortably — Gemma 4 31B at Q8_0 needs about 35.5 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB), leaving ~92.5 GB spare and running at ~5.6 tok/s (estimated), with room for about 131,072 tokens of context.
Confidence: medium · Recommended quantization: Q8_0 · Estimated speed: ~5.6 tok/s
| Usable memory for models | 128 GB |
| Memory bandwidth | 256 GB/s |
| Form factor | Mini PC |
| Operating system | Windows or Linux |
| Memory upgradeable | No — soldered |
| Quant | Memory needed | Fits 128 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 64.6 GB | ✓ Yes | 128K | ~3 tok/s | 62 GB |
| Q8_0 | 35.5 GB | ✓ Yes | 128K | ~5.6 tok/s | 32.9 GB |
| Q6_K | 28 GB | ✓ Yes | 128K | ~7.2 tok/s | 25.4 GB |
| Q5_K_M | 24.6 GB | ✓ Yes | 128K | ~8.2 tok/s | 22 GB |
| Q4_K_M | 21.3 GB | ✓ Yes | 128K | ~9.6 tok/s | 18.7 GB |
| Q3_K_M | 15.8 GB | ✓ Yes | 128K | ~13.2 tok/s | 13.2 GB |
| Q2_K | 12.8 GB | ✓ Yes | 128K | ~16.7 tok/s | 10.2 GB |
| Variant | Needs at Q4_K_M | Fits? | Est. speed |
|---|---|---|---|
| Gemma 4 31B | 21.3 GB | ✓ Fits | ~9.6 tok/s |
| Gemma 4 26B-A4B | 18.2 GB | ✓ Fits | ~51.9 tok/s |
| Gemma 4 12B (Unified) | 9.4 GB | ✓ Fits | ~23 tok/s |
| Gemma 4 E4B | 6.8 GB | ✓ Fits | ~32.9 tok/s |
| Gemma 4 E2B | 4.9 GB | ✓ Fits | ~47.8 tok/s |
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
Yes, comfortably — Gemma 4 31B at Q8_0 needs about 35.5 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB), leaving ~92.5 GB spare and running at ~5.6 tok/s (estimated), with room for about 131,072 tokens of context.
Q8_0 — it needs about 35.5 GB of the 128 GB available, downloads as roughly 32.9 GB, and runs at an estimated 5.6 tokens/sec with up to 128K of context.
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving