NVIDIA Nemotron-3-super-120B-A12B on Apple M4 Max (64GB Unified)
Yes — M4 Max (64GB Unified) handles NVIDIA Nemotron-3-super-120B-A12B well at Q3_K_M — 41 tok/s. Solid daily-driver performance on 64 GB VRAM.
Model Size
120B
Device VRAM
64 GB
Bandwidth
546 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for NVIDIA Nemotron-3-super-120B-A12B on Apple M4 Max (64GB Unified) at Q3_K_M. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 41 tok/s | 195ms | ✓ Yes | Good | estimated |
Notes
Q3_K_M
Q3_K_M fits in 64GB with 14GB headroom. MoE model: 120B total params, ~12B active per token. Full expert pool still must load.
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 M4 Max (64GB Unified)
Apple M4 Max (64GB Unified) has 64 GB at 546 GB/s. Available in MacBook Pro 16", Mac Studio.
See all models Apple M4 Max (64GB Unified) can run →Estimate method: Estimated from MoE benchmark reports and bandwidth scaling for 12B-active models. Reference hardware source: github.com (2026-03-24)
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.