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.
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Ollama vs vLLM: A Migration Guide for Scaling Teams
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