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32% of 1,603 scanned PCs run Aya Expanse 32B fully on GPU.

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

Full GPU
512
Partial GPU
2
Hybrid CPU+GPU
456
CPU Only
218
Can't Run
415

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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_MEasiest19 GB21 GB24 GB24 GB8K / 8K

Not sure your GPU has enough VRAM? Compare GPUs that can run Aya Expanse 32B.

Recommended GPUs for Aya Expanse 32B

These GPUs meet the recommended 24 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 Aya Expanse 32B.

Strong OpenClaw Model Candidate

Aya Expanse 32B 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 Aya Expanse 32B?

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 Aya Expanse 32BCheck on RTX 4090Aya Expanse 32B pros & consSetup GuidesDecision WizardBrowse All Models