Question 1

Can I run Qwen3 30B A3B on a Apple M3 Ultra?

Accepted Answer

Yes — Apple M3 Ultra runs Qwen3 30B A3B fully on GPU at the FP16 quantization. Full GPU inference — 192 GB VRAM meets the 78 GB recommendation.

Question 2

What quantization of Qwen3 30B A3B should I use on a Apple M3 Ultra?

Accepted Answer

For 192 GB VRAM on the Apple M3 Ultra, the FP16 variant is the best fit. Estimated ~13.3 tokens/sec on the FP16 quantization.

Question 3

How fast does Qwen3 30B A3B run on Apple M3 Ultra?

Accepted Answer

Roughly 13.3 tokens/sec for FP16. Real speed depends on context length, backend (Ollama, llama.cpp, LM Studio), and KV cache size.

Question 4

What if Apple M3 Ultra is not enough for Qwen3 30B A3B?

Accepted Answer

Try a smaller quantization variant or run on CPU + RAM with the trade-off of slower generation.

Quantization	File Size	Min VRAM	Rec VRAM	Context	Verdict	Estimated tok/s
Q4_K_M	15 GB	17.3 GB	19.5 GB	8K / 8K	Full GPU	~42.7
Q5_K_M	18.8 GB	21.6 GB	24.4 GB	8K / 8K	Full GPU	~37
Q8_0	30 GB	34.5 GB	39 GB	8K / 8K	Full GPU	~25.4
FP16Best fit	60 GB	69 GB	78 GB	8K / 8K	Full GPU	~13.3

Can I Run Qwen3 30B A3B on Apple M3 Ultra?

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