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-TTS-12Hz-1.7B-CustomVoice?

Runs Q448GB VRAM availableRequires 4GB+

NVIDIA L40S meets the minimum VRAM requirement for Q4 inference of Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice. 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-TTS-12Hz-1.7B-CustomVoice with Q4 quantization. At approximately 169 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 44GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB48GB168.90 tok/s✅ Fits comfortably
Q88GB48GB116.37 tok/s✅ Fits comfortably
FP1616GB48GB59.69 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
731.07 tok/s
Price: —
AMD Instinct MI300X
192GB
715.05 tok/s
Price: —
AMD Instinct MI250X
128GB
514.72 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
500.58 tok/s
Price: —
AMD Instinct MI300X
192GB
482.67 tok/s
Price: —

More questions

NVIDIA L40S specs & pricingFull guide for Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoiceQwen/Qwen3-TTS-12Hz-1.7B-CustomVoice speed on NVIDIA L40SQwen/Qwen3-TTS-12Hz-1.7B-CustomVoice Q4 requirements