Databricks Mosaic AI 2026: Build, Serve & Govern Custom LLMs
Databricks Mosaic AI 2026 guide: build, serve, and govern custom LLMs on the lakehouse to cut costs, keep data in-house, and beat general-purpose model limits.
Chapter 1: Why Custom LLMs on the Lakehouse: The 2026 Enterprise AI Landscape For two years, the default enterprise AI architecture was embarrassingly simple: call an API, pass a prompt, get a completion. It worked well enough to ship demos and a few production features. But in 2026, the teams that stuck with API-only LLMs are hitting the same wall from three directions at once — cost that scales linearly with usage, data that legally cannot leave the building, and quality that plateaus because a general-purpose model does not know your domain. This chapter is about why the center of...