October 7 - 9, 2025 | Austin, Texas

6th Annual MLOps World + GenAI Summit 2025

Call for speakers now open

The event that takes AI/ML & agentic systems from concept to large-scale production

3 Days • 16 Tracks • 75 Sessions • Vibrant Expo

Why attend: Optimize & Accelerate

Build optimal strategies

Learn emerging techniques and approaches shared by leading teams who are actively scaling ML, GenAI, and agents in production.

Increase project efficiency

Minimize project risks, delays, and missteps by learning from case studies that set new standards for impact, quality, and innovation.

Make better decisions

Make better, faster decisions with lessons and pro tips from the teams shaping ML, GenAI and Agenetic AI systems in production.

3 Days of Context, Insights, and Connections

Learn from leading minds, sharpen your skills, and connect with innovators driving safe and effective AI in the real world.

Pre-Event

Virtual Summit
Super Early Bird Event

Day 1

Summit:
- Talks, Panels, & Workshops
Expo:
- Lightning Talks
- Brain Dates
- Community Pitches
- Startup Zone
- Vendor Booths
Opening Party

Day 2

Keynote
Summit Day 2
Expo Day 2

Why attend: Connect & Grow

Grow industry influence

Join Brain Dates, Speaker’s Corner, Community Stage, or deliver a talk to share your expertise and amplify your industry impact.

Equip your team to win

Stay ahead of fast-moving competitors by giving your team the insights, skills, and contacts they need to exceed expectations.

Build career momentum

Make every hour count by using our event app to hyper-focus on the right topics and people who will help shape your future in AI.

2025 Summit: Full-Spectrum AI

The themes and tracks of our Summit are curated by AI practitioners. Detailed 2025 agenda coming soon.

2025 THEME: LLM Infrastructure & Operations

AI Infrastructure Strategy & Platform Engineering

This track covers the key architectural choices and infra strategies behind scaling AI and LLM systems in production—from bare metal to Kubernetes, GPU scheduling to inference optimization. Learn what it really takes to build and operate reliable GenAI and agent platforms at scale.

LLMs on Kubernetes

This 2025 track covers real-world patterns and pitfalls of running LLMs on Kubernetes. Topics include GPU scheduling, autoscaling, memory isolation, and managing cost and complexity at scale.

ML Deployments on Prem

This 2025 track explores the realities of deploying ML in regulated, resource-constrained, or air-gapped environments. Talks focus on infrastructure design, data access, and managing tradeoffs when the cloud isn’t an option.

LLM Observability

What does it mean to observe an LLM in production? This 2025 track unpacks logging, tracing, token-level inspection, and metrics that actually help teams debug and improve deployed models.

Data Engineering in an LLM Era

LLMs are changing how we think about data pipelines. This track examines the shifting roles of ETL, vector stores, and retrieval workflows in context-rich, model-driven systems.

ML Version Control

Code has Git, ML has… a mess. This track dives into managing model, data, and pipeline versions in a reproducible, team-friendly way.

Inference Kernels and Model Compilation

From Triton to ONNX to custom CUDA, this track explores how inference gets faster. Talks focus on low-level optimization, compilation, and maximizing performance on modern hardware.

Inference Optimization & Scaling

This track dives into the performance, cost, and reliability challenges of running inference at scale. From token streaming to model compilation, caching strategies to hardware-aware scheduling, we’ll explore the systems and techniques that power fast, efficient, and production-ready AI inference.

Multimodal Systems in Production

This track focuses on building and scaling multimodal systems—models that handle text, image, audio, or video—in production. Learn how teams are designing serving stacks, data flows, and evaluation methods for real-world use.

2025 THEME: MLOps & Organizational Scale

AI Product Strategy & Delivery

Governance, Auditability & Model Risk Management

This track covers how teams manage AI risk in production—through model governance, audit trails, compliance workflows, and strategies for monitoring model behavior over time.

MLOps for Smaller Teams

Not every team has a platform squad or unlimited infra budget. This track shares practical approaches to shipping ML with lean teams—covering lightweight tooling, automation shortcuts, and lessons from teams doing more with less.

ML Collaboration in Large Organizations

Coordination gets harder as teams and models scale. This track shares lessons on aligning workflows, managing shared infrastructure, and reducing friction across cross-functional ML teams.

ML Lifecycle Security

Security doesn’t end at deployment. This track covers threat models, model hardening, data protection, and supply chain risks across the entire ML lifecycle.

ML Training Lifecycle

Training isn’t just about epochs and GPUs. Talks focus on reproducibility, retraining triggers, pipeline automation, and how teams manage iterative experimentation at scale.

Scoping ML Projects in an AI Era

Good outcomes start with the right scope. Learn how teams are adapting scoping processes to account for LLMs, agents, and ambiguous project boundaries in fast-moving environments.

2025 THEME: AI Agents & Agentic Workforces

AI Agents for Developer Productivity

This track highlights practical uses of agents to streamline dev workflows—from debugging and code generation to test automation and CI/CD integration.

AI Agents for Model Validation and Deployments

Agents can now assist in model testing, monitoring, and rollback decisions. The track focuses on how teams are using autonomous systems to harden their ML deployment workflows.

Augmenting Agentic Workforces

This track explores how teams are combining human oversight with semi-autonomous agents to scale support, operations, and decision-making across the business.

Evolution of Agents

This 2025 track traces the design patterns shaping modern agents—from prompt engineering to tool use to memory and planning strategies. Real systems, not just frameworks.

Agents in Production

Deploying agents is not the same as building them. This 2025 track focuses on the infrastructure, safety checks, and governance needed to run agents reliably in production.

Our Expo is where innovation, ideas, and connections come to life

Transform from attendee to active participant by leveling-up your professional contacts, exchanging ideas, and even grabbing the mic to share a passion project.

Make New Connections

Connect with AI Practitioners

Transform from attendee to active participant by leveling-up your professional contacts, exchanging ideas, and even grabbing the mic to share a passion project.

Brain Dates

Speakers' Corner

Vendor Booths

Community Pitches

Startup Zone

Expo Expo Expo Expo Expo Expo Expo Expo Expo Expo Expo Expo

40+ Technical Workshops and Industry Case Studies

2024 Speakers

Note: The Call for Speakers for MLOps World | GenAI Summit 2025 is now open! Learn more

Shreya Rajpal

CEO & Co-Founder, Guardrails AI

Open-Ended and AI-Generating Algorithm in the Era of Foundation Models

Jeff Clune

Professor, University of British Columbia Senior Research Advisor, DeepMind,  AI Chair, CIFAR

Jepson Taylor

Former Chief ai strategist datarobot & dataiku

Dre Olgiati

Distinguished Engineer, AI/ML, LinkedIn

Anu Reddy

Senior Software Engineer, Google

Konstantin Gizdarski

Senior ML Software Engineer, Marketplace, Lyft

Maxime Labonne

Senior Staff Machine Learning Scientist, Liquid AI

Aishwarya Naresh Reganti

Applied Scientist, Amazon Web Services

Latest News

Call For Speakers Now Open For MLOps World | GenAI Summit 2025

June 9, 2025

Super Early Bird Tickets On Sale Now For MLOps World | GenAI Summit 2025

June 6, 2025

Curated by AI Practitioners

All sessions and workshops have been hand-picked by a Steering Committee of fellow AI practitioners who obsess about delivering real-world value for attendees.

Denys Linkov

Event Co-Chair & Head of ML at WiseDocs

“We built this year’s summit around practical takeaways. Not theory but actual workflows, strategies, and the next three steps for your team. We didn’t want another ‘Intro to RAG’ talk. We wanted the things people are debugging, scaling, and fixing right now.”

Volunteering

Apply for the opportunity to get exclusive behind the scenes access to the MLOps World experience while growing your network and skills in real-world artificial intelligence.

Austin

Renaissance Austin Hotel

Once again our venue is the beautiful Renaissance Austin Hotel which delivers an exceptional 360 experience for attendees, complete with restaurants, rooftop bar, swimming pool, spa, exercise facilities, and nearby nature walks. Rooms fill up fast, so use our code (MLOPS25) for discounted rates.

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Hear From Past Attendees

“If you want to hear from the experts, in real-time, and learn what's happening in the space - come here!”

“I leave this type of event with with my head spinning with a lot of new ideas and hopefully other people do as well”

“I can barely begin to explain how much your invite changed my life. Not only did I learn a TON at the conference but the knowledge I gained completely changed the trajectory of my career”

“It's the top event in the United States where you can get up to speed and learn about all things AI and Generative AI”

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Start-up Corner

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Austin

Get Super Early Bird

We’ve put together our best package ever for early attendees. But don’t wait, this offer ends on July 11th:

Save 25% on tickets
Invitation to exclusive networking event
Limited edition Robo Cowboy baseball hat
Fist pick to claim special offers and perks

There’s also an additional 5% discount available for team purchases of 5 tickets or more.

FAQ

When and where is MLOps World?

MLOps World | GenAI Summit takes place Oct 7th (virtual) and then October 8-9 in person, at the beautiful Renaissance Hotel Austin, Located in the Arboretum

Address: 9721 Arboretum Blvd, Austin, TX 78759, United States

Do you offer group rates?

Yes, please contact info@mlopsworld.com and we’ll send a prompt response.

What does the ticket price include?

Tickets include access to all talks and hands-on workshops, food and drink, evening socials, access to the event app with all attendees and networking functionality and all post-event videos.

Can I apply to speak?

You can! Talks will be reviewed by committee and selected based on relevance, novelty, and clarity of message. Please see our Call for Speakers page