A practical side-by-side comparison of three local LLM deployment tools: Ollama, vLLM, and LM Studio. Covers installation, GPU requirements, model formats, throughput characteristics, and OpenAI-compatible API support. Includes working Node.js and React integration code for all three backends, plus a unified client module that switches between them via environment variable. Decision guidance: Ollama for solo dev prototyping, vLLM for production multi-user serving, LM Studio for GUI-based model exploration.

17m read timeFrom sitepoint.com
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Ollama vs vLLM vs LM Studio ComparisonTable of ContentsWhy Run LLMs Locally?Ollama, vLLM, and LM Studio at a GlanceSetting Up Ollama: One-Command Local LLMsSetting Up vLLM: Production-Grade ServingSetting Up LM Studio: The GUI-First ApproachHead-to-Head Performance and Developer ExperienceChoosing the Right Tool: Decision ChecklistPutting It All Together: A Unified Node.js ClientRecommendations

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