OpenClaw runs in the cloud, so no powerful hardware is required. Local AI has different requirements.
Reviewed on February 22, 2026. Validate pricing and exact model compatibility before purchase decisions.
| Setup | RAM | Storage | Verdict |
|---|---|---|---|
| Any computerCloud | 4GB minimum | N/A | Works fine |
| Mac Mini M4Local (Mac) | 16GB minimum, 24GB recommended | 256GB SSD | Good for experimentation |
| Mac Mini M4 (24GB)Local (Mac) | 24GB | 512GB SSD | Recommended for local AI |
| Mac Mini M4 ProLocal (Mac) | 24GB+ | 512GB SSD | Future-proof |
Cloud requirements are stable. Local requirements depend on model size, quantization, and runtime.
OpenClaw can combine with local LLMs (Ollama, LM Studio) for privacy-first AI. Here is what you need for different model sizes.
| Model Size | Mac Mini RAM | Minimum GPU |
|---|---|---|
| 7B | 16GB RAM | 8GB VRAM (RTX 4060) |
| 13B | 24GB RAM | 16GB VRAM (RTX 4060 Ti) |
| 34B | Not recommended | 16GB VRAM (RTX 4080 Super) |
| 70B+ | Not recommended | 24GB VRAM (RTX 4090) |
This table is for planning. Always test your exact model and quantization.
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Any laptop or desktop works. Just use your browser.
No. Cloud usage can run on most modern laptops and desktops because processing happens remotely.
For local experiments, 16GB can work. For smoother local LLM workflows, 24GB is the safer baseline.
No. Model requirements and software optimizations change over time, so validate with your exact model and runtime stack.