NVIDIA Nemotron-3-super-120B-A12B on Apple M1 Pro (16GB Unified)
M1 Pro (16GB Unified) cannot run NVIDIA Nemotron-3-super-120B-A12B. 16 GB VRAM is insufficient at any quantization level.
Model Size
120B
Device VRAM
16 GB
Bandwidth
200 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for NVIDIA Nemotron-3-super-120B-A12B on Apple M1 Pro (16GB Unified) at Q2_K. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | – | – | ✗ Offload | Not viable | estimated |
Notes
Q2_K
Model exceeds m1-pro-16gb effective VRAM capacity.
About NVIDIA Nemotron-3-super-120B-A12B
NVIDIA Nemotron-3-super-120B-A12B (120B) is a chat, coding, reasoning, multi-purpose model. MoE architecture with 120B total parameters and roughly 12B active per token. Requires VRAM for the full expert pool but decodes more like a smaller model once loaded. Native 131K context with 1M-token extension support.
View all NVIDIA Nemotron-3-super-120B-A12B hardware options →About Apple M1 Pro (16GB Unified)
Apple M1 Pro (16GB Unified) has 16 GB at 200 GB/s. Available in MacBook Pro 14" (2021), MacBook Pro 16" (2021).
See all models Apple M1 Pro (16GB Unified) can run →Estimate method: Estimated: model exceeds m1-pro-16gb VRAM capacity. Reference hardware source: github.com (2026-04-18)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.