Uploaded April 2026 | Updated September 2026, 2 weeks ago
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If your are seriously developing AI Applications, a framework desktop server running IncusOS is a must have.
I will discus the pro and cons of such a setup,
go through the setup process and issues I run into when setting it up and using it.
I will give a demo how to you can run your own AI application on a laptop that use AI models running on the Incus server.
key take aways
you have a guide how to setup your own configuration and what issues you can encounter
you have an good impressing how this setup can help you own AI development
a solution to run LLM locally for privacy reasons
a solution to run LLM locally on a GPU for performance
a solution to keep cost under control. If your application has many mcp tools the costs per call are high when using public AI's
a solution that can run LLM that do not fit in graphical cards
You are a devops and just want to see how a modern tools like Incus can be used for running any container or VM
You want to be eco-friendly, to control/reduce your own energy usage for running AI
Target audience:
AI developers, Devops, Anyone who wants to run LLMs locally in a relative efficient way.
Please subscribe to our YouTube channel @ youtube.com/@DevoxxForever
Subscribe to LinkedIn @ linkedin.com/company/voxxed-days-amsterdam
Follow us on Twitter @ twitter.com/voxxedamsterdam
If your are seriously developing AI Applications, a framework desktop server running IncusOS is a must have.
I will discus the pro and cons of such a setup,
go through the setup process and issues I run into when setting it up and using it.
I will give a demo how to you can run your own AI application on a laptop that use AI models running on the Incus server.
key take aways
you have a guide how to setup your own configuration and what issues you can encounter
you have an good impressing how this setup can help you own AI development
a solution to run LLM locally for privacy reasons
a solution to run LLM locally on a GPU for performance
a solution to keep cost under control. If your application has many mcp tools the costs per call are high when using public AI's
a solution that can run LLM that do not fit in graphical cards
You are a devops and just want to see how a modern tools like Incus can be used for running any container or VM
You want to be eco-friendly, to control/reduce your own energy usage for running AI
Target audience:
AI developers, Devops, Anyone who wants to run LLMs locally in a relative efficient way.
![[VDBUH2026] Andrei Mihai & Bianca Bulbuc - How Agentic AI Empowers Creative Thinking](https://i.ytimg.com/vi/Tl1uqW8RSAo/mqdefault.jpg "[VDBUH2026] Andrei Mihai & Bianca Bulbuc - How Agentic AI Empowers Creative Thinking
As AI systems evolve from reactive tools into autonomous agents, UX Design must adapt to a new paradigm, one where interfaces don’t just respond, but reason, plan, and act.
In this talk, we’ll explore how Agentic AI is reshaping the future of UX, transforming AI from an assistant into a creative and operational partner. Designers will no longer design only screens and flows, but intent, delegation, and collaboration between humans and agents.
We’ll look at how agent-driven interactions change:
how users express goals instead of commands
how interfaces shift from control surfaces to orchestration layers
how designers move from execution to creative direction
The session will also introduce the role of Model Context Protocol (MCP) in enabling agent-based systems to understand context, connect tools, and act consistently across experiences, bridging design intent and autonomous execution.
This is a talk for designers, developers, and product leaders who want to understand what it means to design with agents, for humans.")
