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 Intel Arc B570 run OpenPipe/Qwen3-14B-Instruct?

Runs Q410GB VRAM availableRequires 7GB+

Intel Arc B570 meets the minimum VRAM requirement for Q4 inference of OpenPipe/Qwen3-14B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

Intel Arc B570 can run OpenPipe/Qwen3-14B-Instruct with Q4 quantization. At approximately 46 tokens/second, you can expect Moderate speed - useful for batch processing.

VRAM usage will be very close to your GPU's limit. Consider closing other applications or using Q3 quantization for more margin.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q47GB10GB46.34 tok/s✅ Fits comfortably
Q814GB10GB35.12 tok/s❌ Not recommended
FP1629GB10GB16.97 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
595.10 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
520.29 tok/s
Price: —
AMD Instinct MI300X
192GB
376.88 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
372.98 tok/s
Price: —
AMD Instinct MI250X
128GB
355.91 tok/s
Price: —

More questions

Intel Arc B570 specs & pricingFull guide for OpenPipe/Qwen3-14B-InstructOpenPipe/Qwen3-14B-Instruct speed on Intel Arc B570OpenPipe/Qwen3-14B-Instruct Q4 requirements