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 MI250X run google/gemma-2b?

Runs Q4128GB VRAM availableRequires 1GB+

AMD Instinct MI250X meets the minimum VRAM requirement for Q4 inference of google/gemma-2b. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

AMD Instinct MI250X can run google/gemma-2b with Q4 quantization. At approximately 561 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 127GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q41GB128GB561.32 tok/s✅ Fits comfortably
Q82GB128GB402.98 tok/s✅ Fits comfortably
FP164GB128GB196.23 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
865.91 tok/s
Price: —
AMD Instinct MI300X
192GB
863.23 tok/s
Price: —
AMD Instinct MI300X
192GB
654.99 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
545.81 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
523.91 tok/s
Price: —

More questions

AMD Instinct MI250X specs & pricingFull guide for google/gemma-2bgoogle/gemma-2b speed on AMD Instinct MI250Xgoogle/gemma-2b Q4 requirements