Guia Gpu
The RTX 4090 (24 GB VRAM, $0.34/hr) is best for most users. It handles quantized 70B models well. The A100 (40-80 GB VRAM, $1.39/hr) is only needed for…
RTX 4090 vs A100 for OpenClaw – which GPU is better?
The RTX 4090 (24 GB VRAM, $0.34/hr) is best for most users. It handles quantized 70B models well. The A100 (40-80 GB VRAM, $1.39/hr) is only needed for full-precision large models or enterprise workloads.
How much VRAM does OpenClaw need for local LLMs?
Minimum 16 GB VRAM for 7B-13B models, 24 GB for quantized 70B models (RTX 4090), and 40-80 GB for full-precision 70B+ models (A100). Most users are well-served with 24 GB VRAM.
Is GPU hosting worth it for OpenClaw?
GPU hosting eliminates API costs ($0.01-0.03 per query), provides 100% data privacy, and allows unlimited usage. It is worth it if you process >6,000 queries/month or need maximum privacy.
Can I run OpenClaw without a GPU?
Yes! Most users run OpenClaw on a VPS (like Hostinger) using API-based LLMs (Claude, GPT-4). GPU hosting is only needed if you want to run local LLMs for privacy or cost savings.
Which local LLM model works best with OpenClaw?
Llama 3 70B (4-bit quantized) offers the best balance of quality and performance on an RTX 4090. Mixtral 8x7B is great for multi-language support. For smaller GPUs, Llama 3 8B works well.