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Camille Nigon is an AI Solutions Architect at Red Hat, where she helps bring cutting-edge, open source AI solutions to life. With a strong background in data science and a passion for solving real-world problems, Camille loves using AI to tackle tough challenges and make a meaningful impact.

She's a big believer in the power of collaboration and open innovation, and she’s especially passionate about creating more inclusive spaces in tech.

Camille is actively involved in initiatives that promote diversity and help make technology accessible to everyone.

When she isn’t architecting AI solutions or demystifying Kubernetes operators, you can find Camille walking the streets of Zurich or starting her day with a mandatory, well-brewed flat white.

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16.04.2026

Running Your Own AI

Local Language Models and Models-as-a-Service with Open Source

LOCATION: Zürich
KEYWORDS: AI, Open Source

AGENDA:18:15-19:30h: Talk incl. Q/A
After the talk, you will have the opportunity to exchange ideas and network with the speaker and professional colleagues over beer and rich finger foods.

SPEAKER: Camille Nigon   COMPANY: RedHat

Most people use AI through cloud APIs like OpenAI or Anthropic. But there's another way: running your own LLM locally or on your own infrastructure. This gives you more control, better data privacy, and often lower costs.

In this talk, we'll explore how to use open-source models like LLaMA or Mistral, and how to serve them internally using a Models-as-a-Service or MaaS approach. We'll look at what’s required to run these models locally, and how open-source projects can help turn them into shared services via APIs.

The talk is an introduction for developers or teams who want to:

  • Understand the difference between hosted and local LLMs
  • Learn about open-source models
  • Explore how to serve models internally, securely, and efficiently
  • Get started without relying on commercial providers

LANGUAGE: Talk: en / Slides: en


Camille Nigon is an AI Solutions Architect at Red Hat, where she helps bring cutting-edge, open source AI solutions to life. With a strong background in data science and a passion for solving real-world problems, Camille loves using AI to tackle tough challenges and make a meaningful impact.

She's a big believer in the power of collaboration and open innovation, and she’s especially passionate about creating more inclusive spaces in tech.

Camille is actively involved in initiatives that promote diversity and help make technology accessible to everyone.

When she isn’t architecting AI solutions or demystifying Kubernetes operators, you can find Camille walking the streets of Zurich or starting her day with a mandatory, well-brewed flat white.

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