Can I Run Nemotron Cascade 2 on MacBook Pro 16" (M5 Max, 128 GB)?

Written by Jakub Rusinowski · Last updated March 15, 2026

Yes — comfortably

Yes, comfortably — Nemotron Cascade 2 70B at Q6_K needs about 60.6 GB of the 96 GB usable on MacBook Pro 16" (M5 Max, 128 GB), leaving ~35.4 GB spare and running at ~5.6 tok/s (estimated), with room for about 65,536 tokens of context.

Confidence: medium · Recommended quantization: Q6_K · Estimated speed: ~5.6 tok/s

MacBook Pro 16" (M5 Max, 128 GB) — what it gives a model

Usable memory for models	96 GB
Memory bandwidth	614 GB/s
Form factor	Laptop
Operating system	macOS
Memory upgradeable	No — soldered

Nemotron Cascade 2 on MacBook Pro 16" (M5 Max, 128 GB): memory by quantization

Quant	Memory needed	Fits 96 GB?	Max context	Est. speed	Download
F16	143.2 GB	✗ No	—	—	140 GB
Q8_0	77.6 GB	✓ Yes	64K	~4.4 tok/s	74.4 GB
Q6_K	60.6 GB	✓ Yes	64K	~5.6 tok/s	57.4 GB
Q5_K_M	52.8 GB	✓ Yes	64K	~6.5 tok/s	49.6 GB
Q4_K_M	45.4 GB	✓ Yes	64K	~7.6 tok/s	42.3 GB
Q3_K_M	33 GB	✓ Yes	64K	~10.5 tok/s	29.8 GB
Q2_K	26.2 GB	✓ Yes	64K	~13.3 tok/s	23 GB

Which Nemotron Cascade 2 sizes fit

Variant	Needs at Q4_K_M	Fits?	Est. speed
Nemotron Cascade 2 70B	45.4 GB	✓ Fits	~7.6 tok/s
Nemotron Cascade 2 30B	20.7 GB	✓ Fits	~16.8 tok/s

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.

MacBook Pro M5 Max 128 GB limitations

Unified memory is soldered and cannot be upgraded after purchase.

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.
128 GB unified memory at 614 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 Cascade 2 on MacBook Pro 16" (M5 Max, 128 GB)?

Which quantization of Nemotron Cascade 2 should I use on MacBook Pro 16" (M5 Max, 128 GB)?

Q6_K — it needs about 60.6 GB of the 96 GB available, downloads as roughly 57.4 GB, and runs at an estimated 5.6 tokens/sec with up to 64K of context.

What limits Nemotron Cascade 2 on MacBook Pro 16" (M5 Max, 128 GB)?

Nothing binding — the model fits with headroom and generates at a usable speed on this hardware.

Can I Run Nemotron Cascade 2 on MacBook Pro 16" (M5 Max, 128 GB)?

MacBook Pro 16" (M5 Max, 128 GB) — what it gives a model

Nemotron Cascade 2 on MacBook Pro 16" (M5 Max, 128 GB): memory by quantization

Which Nemotron Cascade 2 sizes fit

What to watch out for

MacBook Pro M5 Max 128 GB limitations

Recommended setup

How these numbers are calculated

FAQ

Can I run Nemotron Cascade 2 on MacBook Pro 16" (M5 Max, 128 GB)?

Which quantization of Nemotron Cascade 2 should I use on MacBook Pro 16" (M5 Max, 128 GB)?

What limits Nemotron Cascade 2 on MacBook Pro 16" (M5 Max, 128 GB)?

Which runtime should I use?

Other Computers

Other Models on MacBook Pro 16" (M5 Max, 128 GB)

Nemotron Cascade 2 on GPUs

What This Model Is Good At

Model & Tools