On-premise AI: The Pain, The Suffering and Why We Still Do It
2026-09-05 , Europasaal A

AI promises innovation, automation, and transformation — but running it on-premises is often a very different story. Behind every successful deployment are countless challenges:
infrastructure limitations, security requirements, integration headaches, operational complexity,
and the constant battle between expectations and reality.


AI promises innovation, automation, and transformation — but running it on-premises is often a very different story. Behind every successful deployment are countless challenges:
infrastructure limitations, security requirements, integration headaches, operational complexity,
and the constant battle between expectations and reality.

In this talk, we take a practical and honest look at what it really means to operate on-premise AI in enterprise environments. With a focus on lessons learned, common pitfalls, and why
organizations continue investing in on-premise solutions despite the complexity

Dino Begicevic is an experienced Platform Engineer at NTS, conference speaker working with Kubernetes, Terraform and Ansible – plus whatever weird problem lands in his inbox, which will be tackeled immediately!

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