Apple M5 Ultra for local LLMs
Written by Jakub Rusinowski · Last updated
With 512 GB of LPDDR5X at 1,229 GB/s, the M5 Ultra runs 163 catalogued models at Q4_K_M with 8K context. The largest that fits is Step 5 Preview 600B-A27B (~366.4 GB), and the top pick is Nemotron 3 Ultra 550B at 12–26 tok/s.
Apple's quad-die Ultra: up to 36 CPU cores, 80 GPU cores and 512 GB of unified memory at about 1.2 TB/s — the most memory bandwidth in any machine a person can buy off the shelf, and enough capacity to hold models that otherwise need a rented server.
Models that run on the M5 Ultra
Q4_K_M, 8K context, 384 GB usable. Ranked by quality and speed.
| Model | Memory · marker = 384 GB | VRAM | Speed |
|---|---|---|---|
| Nemotron 3 Ultra 550B Nemotron 3 Ultra | 339.3 GB | 12–26 tok/s | |
| Beam 1.0 501B-A23B Reflection Beam | 303.5 GB | 21–44 tok/s | |
| Qwen3-Coder 480B-A35B (MoE) Qwen3-Coder | 291.6 GB | 18–38 tok/s | |
| MiniMax M3 428B-A23B MiniMax M3 | 259.2 GB | 22–45 tok/s | |
| MiniMax M3.1 Flash 428B-A23B MiniMax M3 | 259.2 GB | 22–45 tok/s | |
| Llama 4 Maverick 17B Llama 4 | 243.9 GB | 32–65 tok/s | |
| Trinity-Large-Thinking Trinity | 242 GB | 42–88 tok/s | |
| Qwen 3.5 397B-A17B Qwen 3.5 | 240.5 GB | 27–55 tok/s | |
| Nex-N2.5 Pro Nex-N2.5 | 240.5 GB | 27–55 tok/s | |
| Nex-N2 Pro Nex-N2 | 240.5 GB | 27–55 tok/s | |
| K2 Horizon 375B-A23B K2 Horizon | 231.8 GB | 24–51 tok/s | |
| GLM-5.3-Flash 320B-A18B GLM-5.3-Flash | 194 GB | 26–54 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 2026-09-19.
- Memory
- 512 GB LPDDR5X
- Memory bandwidth
- 1,229 GB/s
- Memory bus
- 1024-bit
- Architecture
- ARM, 3nm TSMC
- Series
- Apple Silicon
- Board power
- 120 W
- Release year
- 2026
- Compute backends
- METAL
- Usable for models
- 384 GB (~75% of unified)
Similar GPUs
Frequently asked questions
Can the Apple M5 Ultra run local LLMs?
Yes. With 512 GB (384 GB usable by a model) it runs 163 of the catalogued models at Q4_K_M with 8K context; the largest is Step 5 Preview 600B-A27B, needing about 366.4 GB.
How fast is the Apple M5 Ultra for AI inference?
It is estimated to run Llama 3.1 8B at 59–123 tok/s at Q4_K_M. Llama 3.3 70B is estimated at 9.6–20 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: Nemotron 3 Ultra 550B, Beam 1.0 501B-A23B, Qwen3-Coder 480B-A35B (MoE), MiniMax M3 428B-A23B, MiniMax M3.1 Flash 428B-A23B.