MLOps World | GenAI Summit 2026 — Austin + 2 free virtual days

The MLOps World | GenAI Summit 2026 runs October 6-9, 2026 in Austin, Texas, with two free virtual days online, bringing together the engineers and platform teams responsible for getting machine learning and generative AI into production and keeping it running. It is built for practitioners — ML and MLOps engineers, platform and data teams, solution architects, and AI developers — rather than for a general business audience, and its enduring focus is the unglamorous but decisive work of deployment, evaluation, monitoring, and cost control.

Production ML and GenAI under one roof

The summit pairs two communities that increasingly overlap. MLOps World grew out of a community of thousands of machine-learning-in-production practitioners; the co-located GenAI Summit addresses how large language models, retrieval systems, and agents change the operational playbook. The organisers are explicit that GenAI workloads are redefining how AI platforms are built — teams "can no longer rely" on the assumptions that worked for classical ML, because generative and agentic systems bring new capacity, latency, and cost pressures. That tension runs through the programme.

Expected themes for 2026, drawn from the summit's own session topics, include:

• LLMOps and platform design — building GenAI platforms "without the pains," and the abstraction layers that keep costs predictable.
• Evaluation best practices — how to measure and trust model and agent behaviour before and after release.
• Deployment pipelines — scheduling optimisation, feature engineering, feature-store design, and on-prem deployments.
• Agentic workforces and systems — running agents and GenAI in production at organisations operating at scale.
• Context engineering and agentic search — including the cost realities (agentic search can be dramatically more expensive than vector search).

What's new for 2026

The clear shift this year is from "can we deploy a model" to "can we operate fleets of agents affordably." Talks address agentic workforces in real enterprises, the economics of agentic versus vector search, context engineering across different system designs, and the security implications of expanding AI stacks — the so-called widening attack surface of modern AI platforms. In other words, the 2026 edition treats generative AI and agents not as research novelties but as production systems with SLAs, budgets, and threat models, which is exactly the lens MLOps practitioners need.

Why it matters in 2026

For most organisations, the gap between an impressive AI demo and a dependable production system is exactly the territory this summit covers. As generative models and agents take on real workloads, the operational questions — how to evaluate them, how to monitor for drift and regressions, how to keep inference bills sustainable, and how to secure an expanding stack — become the difference between a pilot and a product. MLOps World | GenAI Summit is one of the few events that treats those questions as the main event rather than an afterthought.

Who should attend

The audience skews technical and hands-on: machine-learning engineers, MLOps and platform engineers, data and infrastructure teams, solution and full-stack architects, and enterprise AI teams, alongside startup builders and researchers. If your job is to take a model or an agent from a notebook to a reliable, observable, cost-controlled service — and to prove it works through evaluation — the agenda is aimed at you. Engineering leaders sizing up AI platform strategy will also find value, but the centre of gravity is practitioners sharing real deployment lessons rather than vendor keynotes.

Format, dates, and how to attend

The 2026 summit combines an in-person experience in Austin with a hybrid online component, notably two free virtual days that open the talks to a global remote audience at no cost — a genuinely useful option for teams that cannot travel. The in-person event typically features workshops, a speakers' corner, and evening networking alongside the main sessions; speaker slots are unpaid, with accepted speakers receiving a complimentary pass, which tends to keep the talks practitioner-led rather than sales-driven. (Note: the official dates for 2026 run October 6-9; the 2025 edition was October 8-9 at the Renaissance Austin Hotel, so confirm the exact 2026 venue and per-day schedule on the official site before booking.) Registration, the full speaker line-up, and workshop schedule are published on the official MLOps World site as the programme firms up. For anyone responsible for productionising machine learning and generative AI — and for taming the cost, evaluation, and reliability challenges that agents introduce — MLOps World | GenAI Summit 2026 is one of the most directly useful events on the applied-AI calendar, with the free virtual days lowering the barrier to attending considerably.