Can I Run Nemotron Cascade 2 on Framework Desktop (Ryzen AI Max+ 395, 128 GB)?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026
Yes — comfortably
Yes, comfortably — Nemotron-Cascade 2 30B-A3B at Q8_0 needs about 36.2 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB), leaving ~91.8 GB spare and running at ~38 tok/s (estimated), with room for about 262,144 tokens of context.
Confidence: medium · Recommended quantization: Q8_0 · Estimated speed: ~38 tok/s
See what else this hardware can run →
Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.
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 Cascade 2 on Framework Desktop (Ryzen AI Max+ 395, 128 GB): memory by quantization
| Quant | Memory needed | Fits 128 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 65.8 GB | ✓ Yes | 256K | ~23 tok/s | 63.2 GB |
| Q8_0 | 36.2 GB | ✓ Yes | 256K | ~38 tok/s | 33.6 GB |
| Q6_K | 28.5 GB | ✓ Yes | 256K | ~45.6 tok/s | 25.9 GB |
| Q5_K_M | 25 GB | ✓ Yes | 256K | ~50.3 tok/s | 22.4 GB |
| Q4_K_M | 21.7 GB | ✓ Yes | 256K | ~55.6 tok/s | 19.1 GB |
| Q3_K_M | 16.1 GB | ✓ Yes | 256K | ~67.9 tok/s | 13.5 GB |
| Q2_K | 13 GB | ✓ Yes | 256K | ~77.2 tok/s | 10.4 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 Cascade 2 on Framework Desktop (Ryzen AI Max+ 395, 128 GB)?
Yes, comfortably — Nemotron-Cascade 2 30B-A3B at Q8_0 needs about 36.2 GB of the 128 GB usable on Framework Desktop (Ryzen AI Max+ 395, 128 GB), leaving ~91.8 GB spare and running at ~38 tok/s (estimated), with room for about 262,144 tokens of context.
Which quantization of Nemotron Cascade 2 should I use on Framework Desktop (Ryzen AI Max+ 395, 128 GB)?
Q8_0 — it needs about 36.2 GB of the 128 GB available, downloads as roughly 33.6 GB, and runs at an estimated 38 tokens/sec with up to 256K of context.
What limits Nemotron Cascade 2 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 Models on Framework Desktop (Ryzen AI Max+ 395, 128 GB)
- Nex-N2 on Framework Desktop (Ryzen AI Max+ 395, 128 GB)
- Nex-N2.5 on Framework Desktop (Ryzen AI Max+ 395, 128 GB)
- North Mini Code on Framework Desktop (Ryzen AI Max+ 395, 128 GB)
- OLMo 2 on Framework Desktop (Ryzen AI Max+ 395, 128 GB)
- Phi 3.5 Family on Framework Desktop (Ryzen AI Max+ 395, 128 GB)
Nemotron Cascade 2 on GPUs
- Nemotron Cascade 2 on NVIDIA GeForce RTX 5090
- Nemotron Cascade 2 on NVIDIA GeForce RTX 5080
- Nemotron Cascade 2 on NVIDIA GeForce RTX 5070 Ti
- Nemotron Cascade 2 on NVIDIA GeForce RTX 5070
What This Model Is Good At
Model & Tools
← Can I Run It? | Nemotron Cascade 2 model page | Check your hardware