Where AI goes

to production

We focus on the hard parts - infrastructure, scaling, and real-world deployment of AI systems.

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What is Stockholm MLOps

Built for real-world AI

Stockholm MLOps is a community for engineers and practitioners working with AI beyond experiments.

We bring together people building, deploying, and scaling machine learning systems in production — across startups, scaleups, and enterprise.

Our events focus on real use cases, technical challenges, and lessons learned from running AI systems in the real world.

  • Real-world case studies

  • Infrastructure, MLOps, and scaling

  • Engineers sharing what actually works

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The community

Where people actually connect

More than just talks.

It’s where engineers, builders, and operators meet, exchange ideas, and learn from each other.

From deep technical discussions to casual conversations over pizza and drinks — this is where the real value happens.

  • Meet people building real AI systems

  • Learn from others doing the same

  • Build relationships beyond the events

The format

Built for learning, not just listening

Every event follows a simple structure designed for real value.

Short, focused talks from people building and scaling AI systems in the real world.

Followed by interactive discussions where you can ask questions, challenge ideas, and go deeper.

No panels. No fluff. No theory without practice.

  • 2–4 lightning talks (10–15 min)

  • Real-world use cases — not slides for the sake of slides

  • Open discussions with speakers and attendees

  • Networking that actually matters

You don’t just attend. You participate.

Why This Matters

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AI is moving into real-world systems

AI is rapidly moving from experiments into real-world systems.

The hardest problems are no longer only about models or prompts. They are about what happens when AI enters production environments with real users, real infrastructure, real regulations, and real operational consequences.

Teams are now facing challenges around:

  • orchestration

  • infrastructure

  • runtime governance

  • interoperability

  • inference at scale

  • operational trust

  • deployment inside critical systems

  • and how to safely operate AI in the real world

This shift is changing how organizations build software, run infrastructure, and make decisions.

Stockholm MLOps exists to help practitioners share what actually works.

Not theory without practice.
Not AI demos disconnected from reality.

But real systems.
Real trade-offs.
Real lessons from teams deploying AI in production.

Built by practitioners. Run by the community.

The crew building Stockholm MLOps

The volunteers behind every event

Build this with us

Volunteer, speak, or help shape the community

Build with us
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