Ollama 强调本地化部署和用户友好性，适合注重隐私保护和简单操作的场景；而 vLLM 则专注于高性能推理和可扩展性，能够满足高并发、大规模部署的需求。选择适合的工具需要综合考量用户的技术背景、应用需求、硬件资源以及对性能和易用性的优先级。

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