L
localai.computer
ModelsGPUsSystemsAI SetupsBuildsOpenClawMethodology

Resources

  • Methodology
  • Submit Benchmark
  • About

Browse

  • AI Models
  • GPUs
  • PC Builds

Guides

  • OpenClaw Guide
  • How-To Guides

Legal

  • Privacy
  • Terms
  • Contact

© 2025 localai.computer. Hardware recommendations for running AI models locally.

ℹ️We earn from qualifying purchases through affiliate links at no extra cost to you. This supports our free content and research.

Can Apple M2 Ultra run Qwen/Qwen3-4B-Thinking-2507-FP8?

Runs Q4192GB VRAM availableRequires 2GB+

Apple M2 Ultra meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen3-4B-Thinking-2507-FP8. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

Apple M2 Ultra can run Qwen/Qwen3-4B-Thinking-2507-FP8 with Q4 quantization. At approximately 103 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 190GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q42GB192GB102.66 tok/s✅ Fits comfortably
Q84GB192GB74.62 tok/s✅ Fits comfortably
FP169GB192GB39.39 tok/s✅ Fits comfortably

Best current price

Apple M2 Ultra
$5,999.00 on Amazon
Check Price

Suitable alternatives

AMD Instinct MI300X
192GB
776.99 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
736.14 tok/s
Price: —
AMD Instinct MI250X
128GB
490.58 tok/s
Price: —
AMD Instinct MI300X
192GB
483.42 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
467.70 tok/s
Price: —

More questions

Apple M2 Ultra specs & pricingFull guide for Qwen/Qwen3-4B-Thinking-2507-FP8Qwen/Qwen3-4B-Thinking-2507-FP8 speed on Apple M2 UltraQwen/Qwen3-4B-Thinking-2507-FP8 Q4 requirements