QwenQwen3-30B-A3B on Apple M4 Ultra (192GB)
Yes — M4 Ultra (192GB) handles Qwen3-30B-A3B well at Q8_0 — 25 tok/s. Solid daily-driver performance on 192 GB VRAM.
Model Size
30B
Device VRAM
192 GB
Bandwidth
819 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3-30B-A3B on Apple M4 Ultra (192GB) at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 25 tok/s | 467ms | ✓ Yes | Good | estimated |
Notes
Q8_0
Estimated from qwq-32b benchmarks. MoE architecture improves throughput vs. dense equivalent.
About Qwen3-30B-A3B
Qwen3-30B-A3B (30B) is a chat, coding, ai coding, reasoning, multi-purpose model. Mixture-of-Experts architecture with ~3B active parameters per token and ~30B total; inference still loads the full expert pool for typical local stacks, so VRAM tracks total model size while compute per token stays efficient. High efficiency for its quality tier. Apache 2.0; 32K default and 128K max context.
View all Qwen3-30B-A3B hardware options →About Apple M4 Ultra (192GB)
Apple M4 Ultra (192GB) has 192 GB at 819 GB/s. Available in Mac Studio, Mac Pro.
See all models Apple M4 Ultra (192GB) can run →Estimate method: Estimated from comparable model benchmarks. Reference hardware source: github.com (2026-03-14)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.