Can I Run NVIDIA Nemotron 3 Super 120B A12B BF16 on a Apple M5 Ultra (512GB)?
Runs at full precision (fp16). Zero quality loss.
5 quantizations fit your 512GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 248.2 GB | 249.7 GB | 247.2 GB | +263.8 GB |
| Q8_0 | 132.3 GB | 133.8 GB | 131.3 GB | +379.7 GB |
| Q6_K | 102.8 GB | 104.3 GB | 101.8 GB | +409.2 GB |
| Q5_K_M | 88.8 GB | 90.3 GB | 87.8 GB | +423.2 GB |
| Q4_K_M | 75.9 GB | 77.4 GB | 74.9 GB | +436.1 GB |
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FAQ
Can the Apple M5 Ultra (512GB) run NVIDIA Nemotron 3 Super 120B A12B BF16?
Yes. The Apple M5 Ultra (512GB)'s 512GB of unified memory is enough to run NVIDIA Nemotron 3 Super 120B A12B BF16 at fp16 quantization (248.2GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 512GB. It uses about 248.2GB of memory and 249.7GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.