Tuesday, November 17, 2026
8:30 AM – 4:00 PM CST
MLOps World | GenAI Summit 2026
About this event
The seventh annual MLOps World conference lands in Austin for two days on agentic AI in production — case studies, architecture talks, workshops and an expo for AI engineers and platform teams.
Agents, but from the operations side
MLOps World's seventh annual conference and expo is a practitioner event rather than a vendor showcase: the programme is committee-directed and built from case studies, architecture talks, workshops, and round tables. Organizers expect 700-plus AI engineers, platform teams, and technical leaders.
The 2026 flagship theme is AI Agents and Agentic Workforces, organized around five strands:
- Agents for developer productivity
- Agents for model validation and deployment
- Augmenting agentic workforces
- Agents in production
- Current MLOps trends and tooling
Alongside the sessions the expo runs Brain Dates, a Speakers' Corner, and vendor booths. A free virtual bonus day precedes the in-person event on November 16.
Practical details
- When: Tuesday–Wednesday, November 17–18, 2026, from 8:30 a.m.
- Where: Etter-Harbin Alumni Center, 2110 San Jacinto Boulevard, on the UT Austin campus. Complimentary parking is available.
- Cost: Early-bird $499 (about $565 with fees and tax), advertised as $100 off general admission. The early-bird window closes August 31, 2026. Multi-ticket discounts exist and refunds are accepted up to 30 days before.
One caution on sources: the mlopsworld.com homepage still renders the 2025 edition at a different venue. The 2026 dates and venue above come from the organizer's FAQ page and the live ticketing listing. A per-day agenda had not been published at the time of listing.
Organized by
A practitioner community and conference organizer for machine-learning operations, running an annual conference and expo plus year-round talks on putting models and, increasingly, agents into production. Its programme is committee-directed and built from case studies rather than vendor presentations.