Chancity

MLOps World 2026

A two-day event focused on putting AI, machine learning, and agentic systems into production.

Etter-Harbin Alumni Center, Austin, TX

Dates
Starts November 17, 2026
Venue
Etter-Harbin Alumni Center, Austin, TX
Format
Two days of case studies, workshops, and expo

TL;DR

  • MLOps World 2026 starts November 17 at the Etter-Harbin Alumni Center in Austin.
  • The two-day program includes case studies, workshops, and an expo on production AI, machine learning, and agentic systems.
  • The supplied event information does not specify ticket prices or attendance totals.

About

The program emphasizes practical production work, with case studies and practitioner-led programming rather than product pitches. Its listed sponsors include Official Open Source Sponsor and Starup Zone.

Source: mlopsworld.com/sponsor

Who you'll find in the room

AI engineers

AI engineers are among the event's stated audience.

ML platform and infrastructure engineers

The stated audience includes engineers working on ML platforms and infrastructure.

Engineering leaders

Engineering leaders are included in the stated audience.

Working practitioners

The event identifies working practitioners among its audience.

Source: mlopsworld.com/speakers

Featured speakers

2 listed

D. Sculley

Former CEO · Kaggle

Kalpesh Sutaria

Director · NVIDIA

Partners on record

1 listed
Starup ZoneSponsor

Venue & travel

Venue

Etter-Harbin Alumni Center

Questions people ask

5 answered

MLOps World 2026 starts on November 17, 2026.

The 2026 event is at the Etter-Harbin Alumni Center in Austin, Texas.

Its stated audience includes AI engineers, ML platform and infrastructure engineers, engineering leaders, and working practitioners.

It is worth it for AI and ML platform engineers and engineering leaders who want production lessons, since the program is built from case studies rather than product pitches and is set by a steering committee of 75+ working practitioners. Speakers such as D. Sculley, former CEO of Kaggle, and Kalpesh Sutaria of NVIDIA point to practitioner depth; researchers focused on model theory, or buyers wanting a large vendor expo, would find less here.

Engineers at ML and AI conferences typically dress casually, in jeans or chinos with a t-shirt, hoodie or casual button-down. Austin in mid-November is mild, so a light jacket is enough for the alumni center venue.

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