Can I Run Nemotron 3 Super on Framework Desktop (Ryzen AI Max+ 395, 128 GB)?
Written by Jakub Rusinowski · Last updated August 15, 2026
Yes
Yes — Nemotron 3 Super 120B-A12B at Q6_K needs about 102.1 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB) (~25.9 GB spare), at ~16.4 tok/s (estimated), with room for about 65,536 tokens of context.
Confidence: medium · Recommended quantization: Q6_K · Estimated speed: ~16.4 tok/s
Framework Desktop (Ryzen AI Max+ 395, 128 GB) — what it gives a model
| Usable memory for models | 128 GB |
| Memory bandwidth | 256 GB/s |
| Form factor | Mini PC |
| Operating system | Windows or Linux |
| Memory upgradeable | No — soldered |
Nemotron 3 Super on Framework Desktop (Ryzen AI Max+ 395, 128 GB): memory by quantization
| Quant | Memory needed | Fits 128 GB? | Max context | Est. speed | Download |
|---|
| F16 | 243.7 GB | ✗ No | — | — | 240 GB |
| Q8_0 | 131.2 GB | ✗ No | — | — | 127.5 GB |
| Q6_K | 102.1 GB | ✓ Yes | 64K | ~16.4 tok/s | 98.4 GB |
| Q5_K_M | 88.7 GB | ✓ Yes | 64K | ~18.5 tok/s | 85.1 GB |
| Q4_K_M | 76.1 GB | ✓ Yes | 128K | ~21.1 tok/s | 72.5 GB |
| Q3_K_M | 54.8 GB | ✓ Yes | 128K | ~27.5 tok/s | 51.2 GB |
| Q2_K | 43.1 GB | ✓ Yes | 128K | ~33.1 tok/s | 39.4 GB |
What to watch out for
- This model does not publish its full attention configuration, so the KV-cache share of these figures is inferred from its parameter count rather than computed exactly.
- Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.
Framework Desktop 128 GB limitations
- Memory is soldered LPDDR5X — unusually for Framework, this is the one component that cannot be upgraded.
- ROCm/Vulkan support for Strix Halo is younger than CUDA; check your runtime supports it before buying.
Recommended setup
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 128 GB unified memory at 256 GB/s, shared between CPU and GPU.
- Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
- KV cache is inferred from the parameter count because this model does not publish its full attention configuration.
FAQ
Can I run Nemotron 3 Super on Framework Desktop (Ryzen AI Max+ 395, 128 GB)?
Yes — Nemotron 3 Super 120B-A12B at Q6_K needs about 102.1 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB) (~25.9 GB spare), at ~16.4 tok/s (estimated), with room for about 65,536 tokens of context.
Which quantization of Nemotron 3 Super should I use on Framework Desktop (Ryzen AI Max+ 395, 128 GB)?
Q6_K — it needs about 102.1 GB of the 128 GB available, downloads as roughly 98.4 GB, and runs at an estimated 16.4 tokens/sec with up to 64K of context.
What limits Nemotron 3 Super on Framework Desktop (Ryzen AI Max+ 395, 128 GB)?
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Which runtime should I use?
Ollama or llama.cpp (CUDA/ROCm) — vLLM if you need concurrent serving
Other Computers
Other Models on Framework Desktop (Ryzen AI Max+ 395, 128 GB)
Nemotron 3 Super on GPUs
What This Model Is Good At
Model & Tools
← Can I Run It? | Nemotron 3 Super model page | Check your hardware