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 NVIDIA L40S run Qwen/Qwen3-Coder-30B-A3B-Instruct?

Runs Q448GB VRAM availableRequires 15GB+

NVIDIA L40S meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen3-Coder-30B-A3B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA L40S can run Qwen/Qwen3-Coder-30B-A3B-Instruct with Q4 quantization. At approximately 86 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 33GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q415GB48GB86.49 tok/s✅ Fits comfortably
Q831GB48GB64.37 tok/s✅ Fits comfortably
FP1661GB48GB36.49 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
426.25 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
397.16 tok/s
Price: —
AMD Instinct MI300X
192GB
308.70 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
286.46 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
252.77 tok/s
Price: —

More questions

NVIDIA L40S specs & pricingFull guide for Qwen/Qwen3-Coder-30B-A3B-InstructQwen/Qwen3-Coder-30B-A3B-Instruct speed on NVIDIA L40SQwen/Qwen3-Coder-30B-A3B-Instruct Q4 requirements