Apple M2 Ultra — Local LLM Performance & Compatibility

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

VRAM192 GB unified memory
Memory Bandwidth800 GB/s
TDP60 W
ArchitectureARM, 5nm TSMC
Release Year2023
MSRP at Launch$3,999
Inference Speed (Llama 3.1 8B Q4_K_M)~165 tokens/sec
Inference Speed (Llama 3.3 70B Q4_K_M)~48 tokens/sec
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Apple Mac Studio M2 Ultra
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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.

Llama 3.3Llama 3.3 70B Instruct · 43 GB VRAM · Q4_K_M · ollama run llama3.3
Llama 3.1 FamilyLlama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · ollama run llama3.1
DeepSeek R1DeepSeek R1 Distill Qwen 32B · 20 GB VRAM · Q4_K_M · ollama run deepseek-r1:32b
Qwen 3Qwen 3 235B-A22B (MoE) · 80 GB VRAM · Q4_K_M · ollama run qwen3:235b-a22b
Gemma 3Gemma 3 27B Instruct · 17 GB VRAM · Q4_K_M · ollama run gemma3:27b
Mistral Small 3.1Mistral Small 3.1 24B · 14 GB VRAM · Q4_K_M · ollama run mistral-small3.1
Phi-4 FamilyPhi-4 (14B) · 9 GB VRAM · Q4_K_M · ollama run phi4
Kimi K2.5 / K2.6Kimi K2.5 · 20 GB VRAM · Q4_K_M · ollama run hf.co/moonshotai/Kimi-K2.5-Instruct-Q4_K_M

Best Use Cases

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 runs Llama 3.1 8B at ~165 tokens/sec with Q4_K_M quantization. For the 70B model it achieves ~48 tokens/sec.

What LLMs can I run on 192 GB VRAM?

With 192 GB you can run: Llama 3.3, Llama 3.1 Family, DeepSeek R1, Qwen 3, Gemma 3. Use Ollama for the easiest setup: ollama run llama3.3:70b.

Can I Run It? — Apple M2 Ultra

VRAM Tier

Buying Guide

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