Apple M2 Ultra — Local LLM Performance & Compatibility

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

作者： Jakub Rusinowski · 最后更新： 2026年7月12日

Up to 192 GB unified memory at 800 GB/s — among the largest memory pools available on consumer hardware. Runs 70B models with room to spare. Available in Mac Studio and Mac Pro.

Technical Specifications

VRAM	192 GB unified memory
Memory Bandwidth	800 GB/s
TDP	60 W
Architecture	ARM, 5nm TSMC
Release Year	2023
MSRP at Launch	$3,999
Inference Speed (Llama 3.1 8B Q4_K_M)	43–89 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)	6.3–13 tok/s (estimated)

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Apple Mac Studio M2 Ultra

192 GB VRAM · 60 W board power

2026年价格波动较大——请以当前商品页价格为准。

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LLMs Compatible with 192 GB Unified Memory

All models below run comfortably in 192 GB unified memory with Q4_K_M quantization.

MiMo-V2.5	MiMo-V2.5 310B · 188 GB VRAM · Q4_K_M · mimo-v2-5
Qwen 3	Qwen 3 235B-A22B (MoE) · 143 GB VRAM · Q4_K_M · `ollama run qwen3:235b-a22b`
Qwen3.8	Qwen3.8-Flash-Next · 109 GB VRAM · Q4_K_M · qwen3-8
Qwen 3.5	Qwen 3.5 122B-A10B · 74 GB VRAM · Q4_K_M · `ollama run qwen3.5:122b`
Mistral Small 4	Mistral Small 4 119B-A6.5B · 73 GB VRAM · Q4_K_M · `ollama run mistral-small`
Llama 4	Llama 4 Scout 17B · 67 GB VRAM · Q4_K_M · `ollama run llama4:scout`
Command R Family	Command R+ (104B) · 64 GB VRAM · Q4_K_M · `ollama run command-r-plus`
Llama 3.2 Family	Llama 3.2 90B Vision Instruct · 54 GB VRAM · Q4_K_M · llama-3-2

67 more families also fit 192 GB — browse the full model library.

Best Use Cases

70B models
largest local models
Mac Studio
Mac Pro

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run llama3.3:70b

FAQ

Can the Apple M2 Ultra run local LLMs?

Yes — the Apple M2 Ultra has 192 GB unified memory and runs Up to 192 GB unified memory at 800 GB/s — among the largest memory pools available on consumer hardware. Runs 70B models

How fast is the Apple M2 Ultra for AI inference?

The Apple M2 Ultra is estimated to run Llama 3.1 8B at 43–89 tok/s with Q4_K_M quantization. For Llama 3.3 70B the estimate is 6.3–13 tok/s. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 192 GB VRAM?

With 192 GB you can run: MiMo-V2.5, Qwen 3, Qwen3.8, Qwen 3.5, Mistral Small 4. Use Ollama for the easiest setup: ollama run llama3.3:70b.

Can I Run It? — Apple M2 Ultra

VRAM Tier

Best LLMs for 80 GB VRAM

Buying Guide

Best GPU Buyer Guide 2026

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