Building Scalable AI Pipelines with Open Source Tools #

Creating robust AI systems requires more than just running a model. This comprehensive guide walks you through building production-ready pipelines using battle-tested open-source technologies.

Key Components #

• Model Serving: Deploy with vLLM, Text Generation Inference, or Ollama
• Orchestration: Use Docker and Kubernetes for scaling
• Monitoring: Track performance with Prometheus and Grafana
• API Management: Expose endpoints safely with FastAPI

Best Practices #

Start with containerization to ensure reproducibility across environments. Use load balancing for high-traffic scenarios and implement proper logging for debugging production issues.

Conclusion #

Open-source tools provide everything needed to build enterprise-grade AI systems without vendor lock-in.