Two M1 Max dies fused together. Up to 128 GB unified memory at 800 GB/s — comfortably runs 70B models at Q4. Mac Studio exclusive.
| VRAM | 128 GB unified memory |
| Memory Bandwidth | 800 GB/s |
| TDP | 60 W |
| Architecture | ARM, 5nm TSMC |
| Release Year | 2022 |
| MSRP at Launch | $3,999 |
| Inference Speed (Llama 3.1 8B Q4_K_M) | ~155 tokens/sec |
| Inference Speed (Llama 3.3 70B Q4_K_M) | ~45 tokens/sec |
All models below run comfortably in 128 GB unified memory with Q4_K_M quantization.
| Llama 3.3 | 24 GB VRAM · Q2_K_XS (Tight) · ollama run llama3.3 |
| Llama 3.1 Family | 6 GB VRAM · Q4_K_M · ollama run llama3.1 |
| DeepSeek R1 | 20 GB VRAM · Q4_K_M · ollama run deepseek-r1:32b |
| Qwen 3 | 80 GB VRAM · Q4_K_M · ollama run qwen3:235b-a22b |
| Gemma 3 | 16 GB VRAM · Q4_K_M · ollama run gemma3:27b |
| Mistral Small 3.1 | 14 GB VRAM · Q4_K_M · ollama run mistral-small3.1 |
| Phi-4 Family | 10 GB VRAM · Q4_K_M · ollama run phi4 |
Install Ollama then run the recommended model for this GPU:
ollama run llama3.3:70b
Yes — the Apple M1 Ultra has 128 GB unified memory and runs Two M1 Max dies fused together. Up to 128 GB unified memory at 800 GB/s — comfortably runs 70B models at Q4. Mac Studio
The Apple M1 Ultra runs Llama 3.1 8B at ~155 tokens/sec with Q4_K_M quantization. For the 70B model it achieves ~45 tokens/sec.
With 128 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.
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