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/Qwen2.5-Coder-32B-Instruct?

Runs Q4192GB VRAM availableRequires 17GB+

Apple M2 Ultra meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen2.5-Coder-32B-Instruct. 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/Qwen2.5-Coder-32B-Instruct with Q4 quantization. At approximately 40 tokens/second, you can expect Moderate speed - useful for batch processing.

You have 175GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q417GB192GB39.78 tok/s✅ Fits comfortably
Q834GB192GB24.15 tok/s✅ Fits comfortably
FP1667GB192GB13.21 tok/s✅ Fits comfortably

Best current price

Apple M2 Ultra
$5,999.00 on Amazon
Check Price

Suitable alternatives

AMD Instinct MI300X
192GB
281.52 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
220.08 tok/s
Price: —
AMD Instinct MI300X
192GB
200.90 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
172.32 tok/s
Price: —
AMD Instinct MI250X
128GB
169.94 tok/s
Price: —

More questions

Apple M2 Ultra specs & pricingFull guide for Qwen/Qwen2.5-Coder-32B-InstructQwen/Qwen2.5-Coder-32B-Instruct speed on Apple M2 UltraQwen/Qwen2.5-Coder-32B-Instruct Q4 requirements