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 RTX 5090 run numind/NuExtract-1.5?

Runs Q432GB VRAM availableRequires 4GB+

RTX 5090 meets the minimum VRAM requirement for Q4 inference of numind/NuExtract-1.5. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

RTX 5090 can run numind/NuExtract-1.5 with Q4 quantization. At approximately 313 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 28GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB32GB313.21 tok/s✅ Fits comfortably
Q87GB32GB203.00 tok/s✅ Fits comfortably
FP1615GB32GB114.89 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
749.79 tok/s
Price: —
AMD Instinct MI300X
192GB
696.93 tok/s
Price: —
AMD Instinct MI300X
192GB
558.06 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
513.33 tok/s
Price: —
AMD Instinct MI250X
128GB
479.09 tok/s
Price: —

More questions

RTX 5090 specs & pricingFull guide for numind/NuExtract-1.5numind/NuExtract-1.5 speed on RTX 5090numind/NuExtract-1.5 Q4 requirements