The 7th MLOps World, now explicitly tilted at agentic AI in production. 16 tracks, 75 sessions, 700+ AI engineers and platform teams across two days at UT's Alumni Center. Curated by a 75+ practitioner steering committee, so the talks skew engineering heavy: agent harness design, evals and benchmarks, memory architectures, cost and ROI, model validation, developer productivity agents. Speakers include D. Sculley (ex-Kaggle CEO), Chris Potts (Stanford NLP), and senior engineers from Meta, Microsoft and the AI labs. If you're a technical founder trying to take agents from demo to production, this is the two-day conference worth travelling to Austin for.

  • conference
  • ai
  • mlops
  • agents
  • llm
  • engineering
  • production