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 microsoft/Phi-3-medium-128k-instruct?

Runs Q480GB VRAM availableRequires 7GB+

NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of microsoft/Phi-3-medium-128k-instruct. 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 microsoft/Phi-3-medium-128k-instruct with Q4 quantization. At approximately 240 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 73GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q47GB80GB239.79 tok/s✅ Fits comfortably
Q814GB80GB165.96 tok/s✅ Fits comfortably
FP1629GB80GB89.48 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
520.30 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
514.85 tok/s
Price: —
AMD Instinct MI300X
192GB
439.20 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
385.32 tok/s
Price: —
AMD Instinct MI250X
128GB
369.89 tok/s
Price: —

More questions

NVIDIA A100 80GB SXM4 specs & pricingFull guide for microsoft/Phi-3-medium-128k-instructmicrosoft/Phi-3-medium-128k-instruct speed on NVIDIA A100 80GB SXM4microsoft/Phi-3-medium-128k-instruct Q4 requirements