Can I Run Nemotron 70B on MacBook Pro 16" (M4 Max, 48 GB)?

Superseded model. Nemotron 70B has been superseded by Nemotron 3 Super. This page is kept for reference; the newer family is a better starting point. View Nemotron 3 Super →

Written by Jakub Rusinowski · Last updated October 15, 2024

Yes, but it is tight

Yes, but it is tight — Nemotron 70B Instruct at Q3_K_M needs about 33.6 GB of the 36 GB usable on MacBook Pro 16" (M4 Max, 48 GB), leaving only ~2.4 GB before the runtime starts swapping. Expect ~9.3 tok/s (estimated), with room for about 8,192 tokens of context.

Confidence: medium · Recommended quantization: Q3_K_M · Estimated speed: ~9.3 tok/s

MacBook Pro 16" (M4 Max, 48 GB) — what it gives a model

Usable memory for models	36 GB
Memory bandwidth	546 GB/s
Form factor	Laptop
Operating system	macOS
Memory upgradeable	No — soldered
Price	$3,999 (lib/data/laptops.ts (street price), checked 2026-07-06)

Nemotron 70B on MacBook Pro 16" (M4 Max, 48 GB): memory by quantization

Quant	Memory needed	Fits 36 GB?	Max context	Est. speed	Download
F16	144.7 GB	✗ No	—	—	141.2 GB
Q8_0	78.5 GB	✗ No	—	—	75 GB
Q6_K	61.4 GB	✗ No	—	—	57.9 GB
Q5_K_M	53.5 GB	✗ No	—	—	50 GB
Q4_K_M	46.1 GB	✗ No	—	—	42.6 GB
Q3_K_M	33.6 GB	✓ Yes	8K	~9.3 tok/s	30.1 GB
Q2_K	26.7 GB	✓ Yes	32K	~11.8 tok/s	23.2 GB

What to watch out for

Q3_K_M is the only quantization that fits, and it is a heavily degraded one — expect noticeably worse output than the same model at Q4_K_M. A smaller model at Q4 is usually the better trade.
1 larger variant of Nemotron 70B does not fit and would need CPU offload or different hardware.
Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.

MacBook Pro M4 Max 48 GB limitations

Unified memory is soldered and cannot be upgraded after purchase.
macOS reserves a share of unified memory for the system, so not all 48 GB is available to a model.

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.
48 GB unified memory at 546 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 computed from this model's published attention configuration.

FAQ