Apple Mac Studio (M4 Ultra, 192GB)

macOS

M4 Ultra with 192GB unified memory (1TB SSD baseline).

From

$7,999

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Memory

192 GB

GPUs

1×

RAM

192 GB

Models

Type

Mini

Inference Memory

192 GB

Accelerator

192 GB

System RAM

192 GB

macOS

What it can run

33 models


Arcee Trinity Large Thinking 400B	Q3_K_M	3 tok/s	Not viable
Arcee Trinity Mini 26B	Q8_0	41 tok/s	Excellent
Arcee Trinity Nano 6B	Q8_0	177 tok/s	Excellent
DeepSeek R1	Q2_K	6 tok/s	Marginal
DeepSeek R1 Distill Qwen 32B	Q5_K_M	24 tok/s	Good
DeepSeek V3	Q2_K	5 tok/s	Marginal
Gemma 3 27B	Q8_0	18 tok/s	Good
Gemma 4 26B-A4B	Q8_0	127 tok/s	Excellent
Gemma 4 31B	Q8_0	18 tok/s	Acceptable
Gemma 4 E2B	Q8_0	123 tok/s	Excellent
Gemma 4 E4B	Q8_0	76 tok/s	Excellent
GigaChat Lightning 10B	Q8_0	94 tok/s	Excellent
Llama 3.1 70B Instruct	Q5_K_M	11 tok/s	Acceptable
Llama 3.2 11B Vision	Q8_0	63 tok/s	Excellent
Llama 3.2 1B Instruct	Q8_0	225 tok/s	Excellent
Llama 3.2 3B Instruct	Q8_0	150 tok/s	Excellent
Llama 3.3 70B Instruct	Q4_K_M	24 tok/s	Acceptable
Llama 4 Scout	Q8_0	5 tok/s	Marginal
Mistral Large 2 123B	Q4_K_M	15 tok/s	Acceptable
NVIDIA Nemotron-3-super-120B-A12B	Q4_K_M	51 tok/s	Excellent
Phi-4 Mini	Q8_0	135 tok/s	Excellent
Qwen 2.5 72B Instruct	Q4_K_M	9 tok/s	Acceptable
Qwen 2.5 Coder 32B Instruct	Q8_0	23 tok/s	Good
Qwen3-30B-A3B	Q8_0	25 tok/s	Good
Qwen3-32B Instruct	Q8_0	21 tok/s	Acceptable
Qwen3.5-122B-A10B	Q8_0	44 tok/s	Excellent
Qwen3.5-27B	Q8_0	24 tok/s	Excellent
Qwen3.5-397B (MoE)	Q3_K_M	44 tok/s	Good
Qwen3.6-27B	Q8_0	24 tok/s	Excellent
Qwen3.6-35B-A3B	Q5_K_M	25 tok/s	Good
QwQ 32B Preview	Q8_0	21 tok/s	Good
Stable Diffusion 3.5 Large	FP16	–	Good
Whisper Large V3 Turbo	FP16	–	Excellent

Showing 33 of 33 entries

Best Fit

Who this machine makes sense for

This machine is a buy-it-ready path for users who want predictable local AI performance without building from parts. 192 GB gives it enough headroom to matter for real model selection, not just toy workloads.

Before You Buy

What to verify first

The main check before buying is upgrade path clarity: confirm memory ceiling, storage expandability, and whether the accelerator path still matches the models you expect to run a year from now.

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