Apple M3 Ultra for local LLMs
Written by Jakub Rusinowski · Last updated
With 512 GB at 819 GB/s, the M3 Ultra runs 159 catalogued models at Q4_K_M with 8K context. The largest that fits is Nemotron 3 Ultra 550B (~339.3 GB), and the top pick is Beam 1.0 501B-A23B at 15–30 tok/s.
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.
Models that run on the M3 Ultra
Q4_K_M, 8K context, 384 GB usable. Ranked by quality and speed.
| Model | Memory · marker = 384 GB | VRAM | Speed |
|---|---|---|---|
| Beam 1.0 501B-A23B Reflection Beam | 303.5 GB | 15–30 tok/s | |
| Qwen3-Coder 480B-A35B (MoE) Qwen3-Coder | 291.6 GB | 12–26 tok/s | |
| MiniMax M3 428B-A23B MiniMax M3 | 259.2 GB | 15–31 tok/s | |
| MiniMax M3.1 Flash 428B-A23B MiniMax M3 | 259.2 GB | 15–31 tok/s | |
| Llama 4 Maverick 17B Llama 4 | 243.9 GB | 22–46 tok/s | |
| Trinity-Large-Thinking Trinity | 242 GB | 30–62 tok/s | |
| Qwen 3.5 397B-A17B Qwen 3.5 | 240.5 GB | 18–38 tok/s | |
| Nex-N2.5 Pro Nex-N2.5 | 240.5 GB | 18–38 tok/s | |
| Nex-N2 Pro Nex-N2 | 240.5 GB | 18–38 tok/s | |
| K2 Horizon 375B-A23B K2 Horizon | 231.8 GB | 17–35 tok/s | |
| GLM-5.3-Flash 320B-A18B GLM-5.3-Flash | 194 GB | 18–37 tok/s | |
| MiMo-V2.5 310B MiMo-V2.5 | 188 GB | 20–42 tok/s |
Buy it or rent the same memory
Buy the card, or rent a GPU with the same memory by the hour to try models first.
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Speed vs other GPUs
Llama 3.1 8B, Q4_K_M. Estimated ranges. How this is calculated
Specifications
Specs last updated 2026-07-12.
- Memory
- 512 GB
- Memory bandwidth
- 819 GB/s
- Architecture
- ARM, 3nm TSMC
- Series
- Apple Silicon
- Board power
- 60 W
- Release year
- 2025
- Usable for models
- 384 GB (~75% of unified)
Similar GPUs
Frequently asked questions
Can the Apple M3 Ultra run local LLMs?
Yes. With 512 GB (384 GB usable by a model) it runs 159 of the catalogued models at Q4_K_M with 8K context; the largest is Nemotron 3 Ultra 550B, needing about 339.3 GB.
How fast is the Apple M3 Ultra for AI inference?
It is estimated to run Llama 3.1 8B at 43–90 tok/s at Q4_K_M. Llama 3.3 70B is estimated at 6.5–13 tok/s. These are modelled estimates from memory bandwidth, not measurements; the methodology page shows the formula.
What LLMs can I run on 512 GB?
Among the best that fit: Beam 1.0 501B-A23B, Qwen3-Coder 480B-A35B (MoE), MiniMax M3 428B-A23B, MiniMax M3.1 Flash 428B-A23B, Llama 4 Maverick 17B. The quickest start is Ollama: ollama run llama3.3:70b.
Keep going
Can I run it on the M3 Ultra?
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