Top considerations for building a production-ready AI environment

23 Pages

This eBook walks through what it really takes to move AI from pilot to production. It covers model selection, customization with RAG, inference at scale, container orchestration, GenAIOps, governance, and hybrid infrastructure. The guide stresses open models, cost control, and flexible deployment across on-premise and public cloud environments. By building on containers and Kubernetes, organizations can create a scalable AI architecture that supports agentic AI, observability, and long-term operational resilience.

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Top considerations for building a production-ready AI environment

Top considerations for building a production-ready AI environment

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