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World Congress 2026 North America • Sep 25, 2026 • Session details

It’s Alive! Taming the MLOps Franken-Stack: Write, Run, and Serve with Michelangelo

Eric Wang , Paul Zimmerman

How does Uber handle 45 million predictions per second without breaking its Python workflows? Discover how the open-sourced Michelangelo platform tames the MLOps Franken-stack to unify your ML lifecycle.

It’s Alive! Taming the MLOps Franken-Stack: Write, Run, and Serve with Michelangelo thumbnail

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Matching moments

4:57 min

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