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 black-forest-labs/FLUX.2-dev?

Runs Q432GB VRAM availableRequires 4GB+

RTX 5090 meets the minimum VRAM requirement for Q4 inference of black-forest-labs/FLUX.2-dev. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

RTX 5090 can run black-forest-labs/FLUX.2-dev with Q4 quantization. At approximately 316 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
Q44GB32GB315.81 tok/s✅ Fits comfortably
Q88GB32GB194.69 tok/s✅ Fits comfortably
FP1616GB32GB125.03 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
711.74 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
639.50 tok/s
Price: —
AMD Instinct MI250X
128GB
515.42 tok/s
Price: —
AMD Instinct MI300X
192GB
509.47 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
464.93 tok/s
Price: —

More questions

RTX 5090 specs & pricingFull guide for black-forest-labs/FLUX.2-devblack-forest-labs/FLUX.2-dev speed on RTX 5090black-forest-labs/FLUX.2-dev Q4 requirements