Examples# Multi-modal AI pipeline Development Production No infrastructure headaches LLM training and inference Set up Data ingestion Distributed fine-tuning Batch inference Online serving Production Audio batch inference Prerequisites Setup Streaming data ingestion Audio preprocessing GPU inference with Whisper LLM-based quality filter Persist the curated subset Distributed XGBoost pipeline Time-series forecasting Setup Acknowledgements Scalable video processing Distributed RAG pipeline Notebooks Deploy MCP servers Why Ray Serve for MCP Anyscale service benefits Prerequisites Development Production No infrastructure headaches