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 nvidia/NVIDIA-Nemotron-Nano-9B-v2?

Runs Q448GB VRAM availableRequires 5GB+

NVIDIA L40S meets the minimum VRAM requirement for Q4 inference of nvidia/NVIDIA-Nemotron-Nano-9B-v2. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA L40S can run nvidia/NVIDIA-Nemotron-Nano-9B-v2 with Q4 quantization. At approximately 114 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 43GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q45GB48GB114.37 tok/s✅ Fits comfortably
Q810GB48GB87.27 tok/s✅ Fits comfortably
FP1619GB48GB48.00 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
552.19 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
542.26 tok/s
Price: —
AMD Instinct MI300X
192GB
430.92 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
361.36 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
360.62 tok/s
Price: —

More questions

NVIDIA L40S specs & pricingFull guide for nvidia/NVIDIA-Nemotron-Nano-9B-v2nvidia/NVIDIA-Nemotron-Nano-9B-v2 speed on NVIDIA L40Snvidia/NVIDIA-Nemotron-Nano-9B-v2 Q4 requirements