Can I Run EXAONE 3.5 on Mac Studio (M2 Ultra, 192 GB)?

Written by Jakub Rusinowski · Last updated February 10, 2026

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

EXAONE 3.5 on Mac Studio (M2 Ultra, 192 GB): memory by quantization

Quant	Memory needed	Fits 144 GB?	Max context	Est. speed	Download
F16	66.9 GB	✓ Yes	32K	~6.6 tok/s	64 GB
Q8_0	36.9 GB	✓ Yes	32K	~12 tok/s	34 GB
Q6_K	29.2 GB	✓ Yes	32K	~15.3 tok/s	26.2 GB
Q5_K_M	25.6 GB	✓ Yes	32K	~17.5 tok/s	22.7 GB
Q4_K_M	22.3 GB	✓ Yes	32K	~20.2 tok/s	19.3 GB
Q3_K_M	16.6 GB	✓ Yes	32K	~27.4 tok/s	13.6 GB
Q2_K	13.5 GB	✓ Yes	32K	~34 tok/s	10.5 GB

Which EXAONE 3.5 sizes fit

Variant	Needs at Q4_K_M	Fits?	Est. speed
EXAONE 3.5 32B	22.3 GB	✓ Fits	~20.2 tok/s
EXAONE 3.5 7.8B	6.6 GB	✓ Fits	~66.8 tok/s
EXAONE 3.5 2.4B	2.9 GB	✓ Fits	~142.4 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• Superseded by the M3 Ultra, which is why it is often the better used buy for large-model work.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 EXAONE 3.5 on Mac Studio (M2 Ultra, 192 GB)?

Yes, comfortably — EXAONE 3.5 32B at Q8_0 needs about 36.9 GB of the 144 GB usable on Mac Studio (M2 Ultra, 192 GB), leaving ~107.1 GB spare and running at ~12 tok/s (estimated), with room for about 32,768 tokens of context.

Which quantization of EXAONE 3.5 should I use on Mac Studio (M2 Ultra, 192 GB)?

Q8_0 — it needs about 36.9 GB of the 144 GB available, downloads as roughly 34 GB, and runs at an estimated 12 tokens/sec with up to 32K of context.

What limits EXAONE 3.5 on Mac Studio (M2 Ultra, 192 GB)?

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

Which runtime should I use?

Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput

Other Computers

• EXAONE 3.5 on RTX 4090 desktop
• EXAONE 3.5 on RTX 5090 desktop
• EXAONE 3.5 on Mac Studio M3 Ultra 256 GB
• EXAONE 3.5 on RTX 3090 desktop

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

• Falcon 3 on Mac Studio (M2 Ultra, 192 GB)
• Gemma 2 Family on Mac Studio (M2 Ultra, 192 GB)
• Gemma 3 on Mac Studio (M2 Ultra, 192 GB)
• Gemma 3n on Mac Studio (M2 Ultra, 192 GB)
• Gemma 4 on Mac Studio (M2 Ultra, 192 GB)

EXAONE 3.5 on GPUs

• EXAONE 3.5 on NVIDIA GeForce RTX 5090
• EXAONE 3.5 on NVIDIA GeForce RTX 5060 Ti 8GB
• EXAONE 3.5 on NVIDIA GeForce RTX 5060
• EXAONE 3.5 on NVIDIA GeForce RTX 4090

What This Model Is Good At

• Best local LLMs for coding
• Best local LLMs for general assistant
• Best local LLMs for reasoning

Model & Tools

• EXAONE 3.5 model page
• VRAM calculator
• Check your own hardware

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