Ollama vs vLLM: A Migration Guide for Scaling Teams

A technical migration guide for teams outgrowing Ollama's developer-friendly experience and needing vLLM's production throughput. Key Sections: 1. **When to Migrate:** Identifying bottlenecks (concurrency, latency spikes). 2. **Architecture Comparison:** Ollama's monolithic approach vs vLLM's PagedAttention and decoupled architecture. 3. **Migration Steps:** Converting Modelfiles to Docker-compose setups, handling quantization format changes (GGUF to AWQ/GPTQ). 4. **API Compatibility:** Managing the drop-in replacement nature of OpenAI-compatible endpoints. 5. **Benchmarking:** Real-world load tests showing throughput gains. **Internal Linking Strategy:** Link back to the Pillar 'Definitive Guide'. Link to 'Benchmarking Local Models' for more data. Continue reading Ollama vs vLLM: A Migration Guide for Scaling Teams on SitePoint .