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 A100 80GB SXM4 run FireRedTeam/FireRed-Image-Edit-1.0?

Runs Q480GB VRAM availableRequires 4GB+

NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of FireRedTeam/FireRed-Image-Edit-1.0. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA A100 80GB SXM4 can run FireRedTeam/FireRed-Image-Edit-1.0 with Q4 quantization. At approximately 287 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 76GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB80GB287.16 tok/s✅ Fits comfortably
Q88GB80GB193.56 tok/s✅ Fits comfortably
FP1616GB80GB100.83 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
768.98 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
726.98 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
537.68 tok/s
Price: —
AMD Instinct MI300X
192GB
513.95 tok/s
Price: —
AMD Instinct MI250X
128GB
475.24 tok/s
Price: —

More questions

NVIDIA A100 80GB SXM4 specs & pricingFull guide for FireRedTeam/FireRed-Image-Edit-1.0FireRedTeam/FireRed-Image-Edit-1.0 speed on NVIDIA A100 80GB SXM4FireRedTeam/FireRed-Image-Edit-1.0 Q4 requirements