speaker-photo

Sander van Vugt

Technical Linux trainer
I'm a technical Linux trainer, authorized to deliver courses for Red Hat, SUSE and Ubuntu. Specialized in High Availability and Linux performance issues. Up to date I have completed 62 books on Linux related topics, including best sellers such as Red Hat RHCE® / RHCSA™ 7 Cert Guide (2015), Beginning the Linux Command Line (2008) and Red Hat 6 Administration (2013). Also, I am the author of over 20 Linux related video courses, published by Pearson Education - Pearson IT Certification and I provide live training at the O'reilly platform. As a trainer I believe it is important to stay in touch with reality, and that's why I have a select number of consultancy customers as well, which I help in realizing their Linux solutions. SPECIALTIES: Linux High Availability, Linux Storage, Linux Virtualization, SUSE Linux, Red Hat Linux, Linux Performance, Linux Foundation, Linux on Azure, Kubernetes, Ansible.
09:00 AM - 05:00 PM

2-day Track AI Masterclass

Understanding GenAI

  • What is it?
  • What are the components?
  • What is the role of an LLM

09:00 AM - 05:00 PM

2-day Track AI Masterclass

Taking a GenAI Test Drive

  • ChatGPT
  • ​Claude
  • Deepseek

09:00 AM - 05:00 PM

2-day Track AI Masterclass

Optimizing Linux for AI

  • Running GenAI with or without GPUs
  • ​Which GPU should you use
  • Getting the best performance out of the GPUs
  • ​Hosting GenAI without GPU

09:00 AM - 05:00 PM

2-day Track AI Masterclass

Understanding how an LLM learns

  • Base LLMs
  • Adding knowledge and skills to LLMs with instructlab
  • Using RAG to connect the AI system to your own data

09:00 AM - 05:00 PM

2-day Track AI Masterclass

Zooming in to Instructlab

  • Running instructlab on your own hardware
  • ​Adding knowledge to your LLM with instructlab
  • Optimizing the procedure for best possible performance

09:00 AM - 09:00 PM

2-day Track AI Masterclass

Running AI workloads on Kubernetes

  • Why bother running AI on Kubernetes?
  • Exposing GPUs to Kubernetes
  • ​Running Kubernetes applications that need GPU access