OpenClaw 快速入门：使用 Docker 安装（Ollama GPU 或 Claude + CPU）
📄 中文摘要
OpenClaw 是一款自托管的 AI 助手，旨在与本地 LLM 运行时（如 Ollama）或基于云的模型（如 Claude Sonnet）配合使用。该快速入门指南展示了如何通过 Docker 部署 OpenClaw，配置 GPU 驱动的本地模型或 CPU 仅支持的云模型，并验证 AI 助手的端到端功能。指南提供了 OpenClaw 的最小设置步骤，确保用户能够在自己的机器上看到其运行和响应。目标包括启动 OpenClaw、发送请求并确认其正常工作。该指南不涉及生产环境的安全强化或性能调优，而是提供一个实用的起点。
📄 English Summary
OpenClaw Quickstart: Install with Docker (Ollama GPU or Claude + CPU)
OpenClaw is a self-hosted AI assistant designed to operate with local LLM runtimes like Ollama or cloud-based models such as Claude Sonnet. This quickstart guide demonstrates how to deploy OpenClaw using Docker, configure either a GPU-powered local model or a CPU-only cloud model, and verify the end-to-end functionality of the AI assistant. The guide walks through a minimal setup of OpenClaw, enabling users to see it running and responding on their own machines. The objectives are straightforward: get OpenClaw running, send a request, and confirm that it works. This is not a production hardening or performance tuning guide, but rather a practical starting point.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等