Can I Run Cogito v1 on Mac Studio (M2 Ultra, 192 GB)?

Written by Jakub Rusinowski · Last updated March 20, 2026

Yes — comfortably

Yes, comfortably — Cogito v1 70B at Q8_0 needs about 77.9 GB of the 144 GB usable on Mac Studio (M2 Ultra, 192 GB), leaving ~66.1 GB spare and running at ~5.7 tok/s (estimated), with room for about 131,072 tokens of context.

Confidence: high · Recommended quantization: Q8_0 · Estimated speed: ~5.7 tok/s

Mac Studio (M2 Ultra, 192 GB) — what it gives a model

Usable memory for models	144 GB
Memory bandwidth	800 GB/s
Form factor	Desktop
Operating system	macOS
Memory upgradeable	No — soldered

Cogito v1 on Mac Studio (M2 Ultra, 192 GB): memory by quantization

Quant	Memory needed	Fits 144 GB?	Max context	Est. speed	Download
F16	143.5 GB	✓ Yes	8K	~3.1 tok/s	140 GB
Q8_0	77.9 GB	✓ Yes	128K	~5.7 tok/s	74.4 GB
Q6_K	60.9 GB	✓ Yes	128K	~7.3 tok/s	57.4 GB
Q5_K_M	53.1 GB	✓ Yes	128K	~8.4 tok/s	49.6 GB
Q4_K_M	45.7 GB	✓ Yes	128K	~9.8 tok/s	42.3 GB
Q3_K_M	33.3 GB	✓ Yes	128K	~13.5 tok/s	29.8 GB
Q2_K	26.5 GB	✓ Yes	128K	~17.1 tok/s	23 GB

Which Cogito v1 sizes fit

Variant	Needs at Q4_K_M	Fits?	Est. speed
Cogito v1 70B	45.7 GB	✓ Fits	~9.8 tok/s
Cogito v1 32B	22.3 GB	✓ Fits	~20.2 tok/s
Cogito v1 14B	10.9 GB	✓ Fits	~41.5 tok/s
Cogito v1 8B	6.7 GB	✓ Fits	~65.6 tok/s
Cogito v1 3B	3.6 GB	✓ Fits	~121.9 tok/s

What to watch out for

Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.

Mac Studio M2 Ultra 192 GB limitations

Superseded by the M3 Ultra, which is why it is often the better used buy for large-model work.
Memory is soldered; the configuration chosen at purchase is permanent.

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.
192 GB unified memory at 800 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

Can I run Cogito v1 on Mac Studio (M2 Ultra, 192 GB)?

Which quantization of Cogito v1 should I use on Mac Studio (M2 Ultra, 192 GB)?

Q8_0 — it needs about 77.9 GB of the 144 GB available, downloads as roughly 74.4 GB, and runs at an estimated 5.7 tokens/sec with up to 128K of context.

What limits Cogito v1 on Mac Studio (M2 Ultra, 192 GB)?

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

Can I Run Cogito v1 on Mac Studio (M2 Ultra, 192 GB)?

Mac Studio (M2 Ultra, 192 GB) — what it gives a model

Cogito v1 on Mac Studio (M2 Ultra, 192 GB): memory by quantization

Which Cogito v1 sizes fit

What to watch out for

Mac Studio M2 Ultra 192 GB limitations

Recommended setup

How these numbers are calculated

FAQ

Can I run Cogito v1 on Mac Studio (M2 Ultra, 192 GB)?

Which quantization of Cogito v1 should I use on Mac Studio (M2 Ultra, 192 GB)?

What limits Cogito v1 on Mac Studio (M2 Ultra, 192 GB)?

Which runtime should I use?

Other Computers

Other Models on Mac Studio (M2 Ultra, 192 GB)

Cogito v1 on GPUs

What This Model Is Good At

Model & Tools