Skip to main content

Share this hardware check

Send this page to a friend or teammate so they can check whether Llama 3.1 405B fits their hardware too.

Social proof

2% of 1,613 scanned PCs run Llama 3.1 405B fully on GPU.

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

Full GPU
35
Hybrid CPU+GPU
313
CPU Only
142
Can't Run
1,123

Test Your Hardware

Detecting your hardware...

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
Q2_KEasiest145 GB150 GB160 GB160 GB4K / 128K
Q4_K_M230 GB235 GB256 GB256 GB4K / 128K

Not sure your GPU has enough VRAM? Compare GPUs that can run Llama 3.1 405B.

Recommended GPUs for Llama 3.1 405B

These GPUs meet the recommended 160 GB VRAM for the Q2_K quantization. Estimated speeds are approximate and assume full GPU offloading.

Need a detailed comparison? See all GPU rankings for Llama 3.1 405B.

Strong OpenClaw Model Candidate

Llama 3.1 405B 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 405B?

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 405BCheck on RTX 4090Llama 3.1 405B pros & consSetup GuidesDecision WizardBrowse All Models