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35% of 883 scanned PCs run Qwen3 30B A3B fully on GPU.

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

Full GPU
306
Partial GPU
1
Hybrid CPU+GPU
226
CPU Only
115
Can't Run
235

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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_MEasiest15 GB17.3 GB19.5 GB23 GB8K / 8K
Q5_K_M18.8 GB21.6 GB24.4 GB29 GB8K / 8K
Q8_030 GB34.5 GB39 GB45 GB8K / 8K
FP1660 GB69 GB78 GB90 GB8K / 8K

Not sure your GPU has enough VRAM? Compare GPUs that can run Qwen3 30B A3B.

Recommended GPUs for Qwen3 30B A3B

These GPUs meet the recommended 19.5 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 Qwen3 30B A3B.

Strong OpenClaw Model Candidate

Qwen3 30B A3B 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 Qwen3 30B A3B?

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 Qwen3 30B A3BCheck on RTX 4090Qwen3 30B A3B pros & consSetup GuidesDecision WizardBrowse All Models