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From Local to Production: The Ultimate Ollama to vLLM Migration Guide 🚀
Latest   Machine Learning

From Local to Production: The Ultimate Ollama to vLLM Migration Guide 🚀

Last Updated on August 28, 2025 by Editorial Team

Author(s): MahendraMedapati

Originally published on Towards AI.

A developer’s journey from bedroom coding to enterprise-scale AI deployment

Picture this: You’ve built this amazing AI chatbot using Ollama on your laptop. It works like a charm for you and your small team. Then suddenly, your boss says “Great! Let’s roll this out to all 10,000 employees next week.” 😱

From Local to Production: The Ultimate Ollama to vLLM Migration Guide 🚀

Why This Migration Actually Matters (And Why I Learned the Hard Way) 💡

This article details the author’s experience transitioning an AI chatbot built with Ollama to a more robust solution with vLLM, highlighting technical challenges faced during scaling such as server crashes and long response times under multiple users. It emphasizes the importance of selecting appropriate frameworks for deployment, outlines the key features of Ollama and vLLM, and lists practical steps for implementation and troubleshooting to help developers manage their migration effectively from prototype to production-grade environments.

Read the full blog for free on Medium.

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