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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.

ModelVRAMSpeed
Nemotron 3 Ultra 550B
Nemotron 3 Ultra
339.3 GB12–26 tok/s
Beam 1.0 501B-A23B
Reflection Beam
303.5 GB21–44 tok/s
Qwen3-Coder 480B-A35B (MoE)
Qwen3-Coder
291.6 GB18–38 tok/s
MiniMax M3 428B-A23B
MiniMax M3
259.2 GB22–45 tok/s
MiniMax M3.1 Flash 428B-A23B
MiniMax M3
259.2 GB22–45 tok/s
Llama 4 Maverick 17B
Llama 4
243.9 GB32–65 tok/s
Trinity-Large-Thinking
Trinity
242 GB42–88 tok/s
Qwen 3.5 397B-A17B
Qwen 3.5
240.5 GB27–55 tok/s
Nex-N2.5 Pro
Nex-N2.5
240.5 GB27–55 tok/s
Nex-N2 Pro
Nex-N2
240.5 GB27–55 tok/s
K2 Horizon 375B-A23B
K2 Horizon
231.8 GB24–51 tok/s
GLM-5.3-Flash 320B-A18B
GLM-5.3-Flash
194 GB26–54 tok/s
Showing 12 of 163

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.

Buy this hardware Apple Mac Studio M3 Ultra — 512 GB VRAM · 60 W board powerDeploy in the cloud now RunPod

or compare on Vast.ai

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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)
Best for512 GB unified memoryfrontier models locallyMac Studio

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.