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 Qwen/Qwen3-8B?

Runs Q410GB VRAM availableRequires 4GB+

Intel Arc B570 meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen3-8B. 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 Qwen/Qwen3-8B with Q4 quantization. At approximately 63 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 6GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB10GB63.17 tok/s✅ Fits comfortably
Q89GB10GB41.49 tok/s⚠️ Tight fit
FP1617GB10GB25.84 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
775.72 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
725.04 tok/s
Price: —
AMD Instinct MI300X
192GB
541.32 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
506.64 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
477.56 tok/s
Price: —

More questions

Intel Arc B570 specs & pricingFull guide for Qwen/Qwen3-8BQwen/Qwen3-8B speed on Intel Arc B570Qwen/Qwen3-8B Q4 requirements