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13% of 1,567 scanned PCs run Llama 3.1 Nemotron 70B fully on GPU.

615 keep at least some work on GPU. Based on anonymous compatibility checks.

Full GPU
200
Hybrid CPU+GPU
415
CPU Only
161
Can't Run
791

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Hardware Requirements

Beginner tip: minimum values mean the model can start, while recommended values usually feel smoother during real use. VRAM is your GPU's dedicated memory; RAM is your system memory used as fallback. See the full glossary.

QuantizationFile SizeMin VRAMRecommended VRAMMin RAMContext
Q4_K_MEasiest40 GB42 GB48 GB48 GB8K / 128K

Not sure your GPU has enough VRAM? Compare GPUs that can run Llama 3.1 Nemotron 70B.

Recommended GPUs for Llama 3.1 Nemotron 70B

These GPUs meet the recommended 48 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.

Need a detailed comparison? See all GPU rankings for Llama 3.1 Nemotron 70B.

Strong OpenClaw Model Candidate

Llama 3.1 Nemotron 70B is a common OpenClaw pick for local agent workflows. Use this model with Ollama, llama.cpp, or LM Studio, then confirm full OpenClaw hardware compatibility.

Why choose Llama 3.1 Nemotron 70B?

General-purpose local model brief

  • Pilot testing with your own tasks
  • Controlled local experiments

Quantization tip: Benchmark at least two quantizations and validate with a task-specific eval set before production use.

Full Model DetailsBest GPU for Llama 3.1 Nemotron 70BCheck on RTX 4090Llama 3.1 Nemotron 70B pros & consSetup GuidesDecision WizardBrowse All Models