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 L40 run Qwen/Qwen2.5-Coder-32B-Instruct?

Runs Q448GB VRAM availableRequires 17GB+

NVIDIA L40 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

NVIDIA L40 can run Qwen/Qwen2.5-Coder-32B-Instruct with Q4 quantization. At approximately 59 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 31GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q417GB48GB58.93 tok/s✅ Fits comfortably
Q834GB48GB40.04 tok/s✅ Fits comfortably
FP1667GB48GB20.47 tok/s❌ Not recommended

Best current price

NVIDIA L40
$8,199.00 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

NVIDIA L40 specs & pricingFull guide for Qwen/Qwen2.5-Coder-32B-InstructQwen/Qwen2.5-Coder-32B-Instruct speed on NVIDIA L40Qwen/Qwen2.5-Coder-32B-Instruct Q4 requirements