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 AMD Instinct MI300X run inference-net/Schematron-3B?

Runs Q4192GB VRAM availableRequires 2GB+

AMD Instinct MI300X meets the minimum VRAM requirement for Q4 inference of inference-net/Schematron-3B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

AMD Instinct MI300X can run inference-net/Schematron-3B with Q4 quantization. At approximately 1004 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 190GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q42GB192GB1004.28 tok/s✅ Fits comfortably
Q83GB192GB686.26 tok/s✅ Fits comfortably
FP166GB192GB338.34 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
800.01 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
623.68 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
580.17 tok/s
Price: —
AMD Instinct MI250X
128GB
558.55 tok/s
Price: —
AMD Instinct MI250X
128GB
402.66 tok/s
Price: —

More questions

AMD Instinct MI300X specs & pricingFull guide for inference-net/Schematron-3Binference-net/Schematron-3B speed on AMD Instinct MI300Xinference-net/Schematron-3B Q4 requirements