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 nvidia/Llama-3.1-Nemotron-70B-Instruct-HF?

Runs Q4128GB VRAM availableRequires 34GB+

AMD Instinct MI250X meets the minimum VRAM requirement for Q4 inference of nvidia/Llama-3.1-Nemotron-70B-Instruct-HF. 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 nvidia/Llama-3.1-Nemotron-70B-Instruct-HF with Q4 quantization. At approximately 104 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 94GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q434GB128GB103.90 tok/s✅ Fits comfortably
Q869GB128GB60.77 tok/s✅ Fits comfortably
FP16138GB128GB34.54 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
152.51 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
147.62 tok/s
Price: —
AMD Instinct MI300X
192GB
111.38 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
103.13 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
96.16 tok/s
Price: —

More questions

AMD Instinct MI250X specs & pricingFull guide for nvidia/Llama-3.1-Nemotron-70B-Instruct-HFnvidia/Llama-3.1-Nemotron-70B-Instruct-HF speed on AMD Instinct MI250Xnvidia/Llama-3.1-Nemotron-70B-Instruct-HF Q4 requirements