Apple M3 Ultra — Local LLM Performance & Compatibility

Apple's highest-end Mac Studio configuration launched with up to 512 GB unified memory at 819 GB/s — enough for 70B+ and some 100B+ class models at Q4/Q5. Note: in March 2026 Apple lowered the maximum purchasable configuration to 256 GB due to DRAM shortages; 512 GB units already in the field retain full capability.

Technical Specifications

VRAM512 GB unified memory
Memory Bandwidth819 GB/s
TDP60 W
ArchitectureARM, 3nm TSMC
Release Year2025
MSRP at Launch$3,999
Inference Speed (Llama 3.1 8B Q4_K_M)~170 tokens/sec
Inference Speed (Llama 3.3 70B Q4_K_M)~50 tokens/sec

LLMs Compatible with 512 GB Unified Memory

All models below run comfortably in 512 GB unified memory with Q4_K_M quantization.

Llama 3.324 GB VRAM · Q2_K_XS (Tight) · ollama run llama3.3
Llama 3.1 Family6 GB VRAM · Q4_K_M · ollama run llama3.1
DeepSeek R1400 GB VRAM · Q4_K_M · ollama run deepseek-r1:671b
Qwen 380 GB VRAM · Q4_K_M · ollama run qwen3:235b-a22b
Qwen3-Coder8 GB VRAM · Q4_K_M · ollama run qwen3-coder:80b-a3b-q4
Gemma 316 GB VRAM · Q4_K_M · ollama run gemma3:27b
Mistral Small 3.114 GB VRAM · Q4_K_M · ollama run mistral-small3.1
Phi-4 Family10 GB VRAM · Q4_K_M · ollama run phi4

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 M3 Ultra run local LLMs?

Yes — the Apple M3 Ultra has 512 GB unified memory and runs Apple's highest-end Mac Studio configuration launched with up to 512 GB unified memory at 819 GB/s — enough for 70B+ and

How fast is the Apple M3 Ultra for AI inference?

The Apple M3 Ultra runs Llama 3.1 8B at ~170 tokens/sec with Q4_K_M quantization. For the 70B model it achieves ~50 tokens/sec.

What LLMs can I run on 512 GB VRAM?

With 512 GB you can run: Llama 3.3, Llama 3.1 Family, DeepSeek R1, Qwen 3, Qwen3-Coder. Use Ollama for the easiest setup: ollama run llama3.3:70b.

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