History and Evolution of Michelangelo
Michelangelo has evolved significantly since its launch in 2016 — from a centralized platform for classical ML to a full-stack system supporting deep learning, generative AI, and agentic workflows. To learn more about that journey, explore the resources below.
Further Reading
- From Predictive to Generative AI — Uber Engineering blog post covering Michelangelo's architecture evolution in depth
- From Monolith to Global Mesh: How Uber Standardized ML at Scale — The New Stack on how Uber scaled ML across the organization
- Michelangelo Deep Dive: Interview with Uber AI Platform PM — Interview covering history, GenAI use cases, tiering strategy, and open-source plans
- Michelangelo Live Demo — Conference walkthrough of the full ML lifecycle, from project creation to deployment
- Michelangelo Open Source Overview — Short conference talk on Michelangelo's history and open-source roadmap