Open Source Summit Europe 2025

In a world where cloud-based AI solutions dominate the tech landscape, the power and flexibility of local AI are often overlooked.

This session will showcase how you can leverage open-source AI models to streamline your development workflow, improve data privacy, and reduce costs. We’ll explore tools like Ollama, LM Studio, and Open Web UI to replace Github Copilot and ChatGPT on your local machine.

Through hands-on demonstrations, you will learn how to integrate these tools into their daily tasks, making your development process more efficient and secure.

Whether you are a developer or tech enthusiasts, this session will provide practical tips you can apply directly.

Traditional software is built around transactions—predictable inputs and outputs. But agentic AI systems are different: they’re conversation-driven, adaptive, and capable of reasoning over time. In this talk, we’ll break down what makes AI systems "agentic" and the key components required to build them. You'll learn about the three essential stacks—training, inference, and runtime—and dive deep into what makes an agentic runtime work: durable execution, memory, agent lifecycle orchestration, and tool use. Finally, we’ll explore the open-source ecosystem powering agentic AI systems, including popular open source projects such as vLLM, LangGraph, and AutoGen, and explain where they fit in the agentic stack.

Intrigued by quantum computing but unsure where to begin? This beginner-friendly session charts a practical path using accessible, open-source tools. Discover how open-source Python libraries like Cirq and Qiskit makes defining your first quantum circuits for simulation surprisingly straightforward. We'll then explore how to take these Python-based simulations, package them into standard containers, and run them directly on Kubernetes – the ubiquitous platform for modern applications.

See a live demo running a basic containerized Python-based quantum simulation as a standard Kubernetes Job, showcasing deployment in this powerful environment.

We'll also map the road ahead: as needs scale, understand how the open Kubernetes ecosystem could support advanced management via CNCF tools (like Kueue) for K8s-native queueing and HPC scheduler integrations (like Slurm) for larger batch workloads.

Get a clear roadmap from your first Python script to running Quantum Simulations on K8s, understanding the path towards tackling larger challenges using open, cloud-native approaches.

Most Linux users use it every day: the bash shell. While Linux newbies only sporadically access the command line (terminal), their familiarity with it increases with continued use.

However, very few people take advantage of the sheer power of the bash. A basic understanding of the Bash grammar will help you get started: from simple commands, pipelines (|), lists, to compound commands, coprocesses, shell function definitions.

The Bash is incredibly versatile.

Quoting, for example, is used to remove the special meaning of certain characters or words to the shell. Values can be stored in parameters - of which there are several: positional parameters, special parameters, shell variables (e.g. $BASH, $LANG, $PATH, ...), arrays. Functions, arithmetic evaluation, conditional expressions and exit status are features often used in Bash scripts. Last but not least, shell bulletin commands are also part of the bash feature list.

Join Werner's talk and discover many possibilities for your favourite shell that you may have only dreamed of.

As the demand for intelligent sensing solutions increases, integrating real-time AI capabilities into edge devices can lead to development inefficiencies. The fragmentation of various IoT devices and software stacks adds to this challenge, requiring advanced embedded software development that considers resource limitations. At the same time, technologies like WebAssembly (Wasm) and image recognition AI models are becoming more accessible. To effectively leverage these innovations, we must expand the development ecosystem for edge sensing devices and simplify the development process.

In this session, we will explore strategies to provide a consistent and scalable approach across different hardware environments. We will introduce our open-source software suite that enables:
- Easily develop Wasm-based applications using our SDK
- Integrate seamlessly into edge AI camera devices
- Deploy Wasm applications on the edge with a graphical user interface

Join us to discover how our platform is changing the edge AI landscape and making intelligent sensing more accessible.