Can I Run Nemotron 3 Nano Omni on Mac mini (M4 Pro, 64 GB)?
Written by Jakub Rusinowski · Last updated September 6, 2026
Yes — comfortably
Yes, comfortably — Nemotron 3 Nano Omni 30B-A3B at Q8_0 needs about 34.5 GB of the 48 GB usable on Mac mini (M4 Pro, 64 GB), leaving ~13.5 GB spare and running at ~33.1 tok/s (estimated), with room for about 65,536 tokens of context.
Confidence: medium · Recommended quantization: Q8_0 · Estimated speed: ~33.1 tok/s
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Mac mini (M4 Pro, 64 GB) — what it gives a model
| Usable memory for models | 48 GB |
| Memory bandwidth | 273 GB/s |
| Form factor | Mini PC |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
Nemotron 3 Nano Omni on Mac mini (M4 Pro, 64 GB): memory by quantization
| Quant | Memory needed | Fits 48 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 62.6 GB | ✗ No | — | — | 60 GB |
| Q8_0 | 34.5 GB | ✓ Yes | 64K | ~33.1 tok/s | 31.9 GB |
| Q6_K | 27.2 GB | ✓ Yes | 64K | ~39.4 tok/s | 24.6 GB |
| Q5_K_M | 23.8 GB | ✓ Yes | 64K | ~43.2 tok/s | 21.3 GB |
| Q4_K_M | 20.7 GB | ✓ Yes | 128K | ~47.5 tok/s | 18.1 GB |
| Q3_K_M | 15.4 GB | ✓ Yes | 128K | ~57.2 tok/s | 12.8 GB |
| Q2_K | 12.4 GB | ✓ Yes | 128K | ~64.4 tok/s | 9.9 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.
Mac mini M4 Pro 64 GB limitations
- M4 Pro memory bandwidth is half the M4 Max's, so large models that fit will still generate roughly half as fast.
Recommended setup
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 64 GB unified memory at 273 GB/s, shared between CPU and GPU.
- macOS reserves a share of unified memory for the system, so not all of it is available to a model.
- 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 Nano Omni on Mac mini (M4 Pro, 64 GB)?
Yes, comfortably — Nemotron 3 Nano Omni 30B-A3B at Q8_0 needs about 34.5 GB of the 48 GB usable on Mac mini (M4 Pro, 64 GB), leaving ~13.5 GB spare and running at ~33.1 tok/s (estimated), with room for about 65,536 tokens of context.
Which quantization of Nemotron 3 Nano Omni should I use on Mac mini (M4 Pro, 64 GB)?
Q8_0 — it needs about 34.5 GB of the 48 GB available, downloads as roughly 31.9 GB, and runs at an estimated 33.1 tokens/sec with up to 64K of context.
What limits Nemotron 3 Nano Omni on Mac mini (M4 Pro, 64 GB)?
Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.
Which runtime should I use?
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Other Models on Mac mini (M4 Pro, 64 GB)
- Nemotron 3 Super on Mac mini (M4 Pro, 64 GB)
- Nemotron 70B on Mac mini (M4 Pro, 64 GB)
- Nemotron Cascade 2 on Mac mini (M4 Pro, 64 GB)
- Nex-N2 on Mac mini (M4 Pro, 64 GB)
- Nex-N2.5 on Mac mini (M4 Pro, 64 GB)
Nemotron 3 Nano Omni on GPUs
- Nemotron 3 Nano Omni on NVIDIA GeForce RTX 5090
- Nemotron 3 Nano Omni on NVIDIA GeForce RTX 5080
- Nemotron 3 Nano Omni on NVIDIA GeForce RTX 5070 Ti
- Nemotron 3 Nano Omni on NVIDIA GeForce RTX 5070
What This Model Is Good At
Model & Tools
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