Build practical on-premises infrastructure.

I help companies, teams, and technical founders design, learn, and prototype modern infrastructure using Proxmox and Kubernetes for AI-ready workflows.

Offerings

Infrastructure as CodeProxmox · OpenTofu
KubernetesBeginner → Production
MLOps LifecycleKubeflow · Slurm · vLLM

individual

training & prototypes

100%

On-premises focus

DK

Denmark sjaelland-based

Services

Training, consulting, and prototypes for teams that need infrastructure to work.

Training & Prototyping

Infrastructure as Code

Proxmox VE · OpenTofu

Hands-on workshops and guided prototypes for declarative infrastructure on Proxmox and Linux. Learn to provision VMs, networks, and storage as reproducible, version-controlled OpenTofu code — from first apply to a working lab environment.

Beginner Training & Consulting

Kubernetes

From zero to cluster operations

A practical beginner training covering containers, deployments, services, ingress, storage, and observability. Plus targeted consulting for teams preparing a Kubernetes environment for production readiness.

Prototyping & Implementation

MLOps Lifecycle Stack

End-to-end on-premises AI

A complete on-premises MLOps platform covering the full AI model lifecycle — experiment tracking and pipelines with Kubeflow, MLFlow and AirFlow, distributed training jobs with Slurm, and production inference via vLLM.

Exploration

Kubeflow

Training

Slurm

Inference

vLLM

Why work with me

From ideas to working labs, platforms, and proof-of-concepts.

Upskill your team with practical labs, not abstract slide decks

Validate AI infrastructure concepts before committing to large investments

Bridge virtualization, containers, automation, and AI workload requirements

Accelerate time-to-production with hands-on knowledge transfer

RL

Ralf Lübben

Prof. Dr.-Ing.

  • Professor of Computer Networks

About

Research depth. Practical infrastructure.

I am a professor of computer networks at Flensburg University of Applied Sciences, located right at the German-Danish border. My background spans over 15 years across academic research and industrial R&D.

My research covers network infrastructure, machine learning in networking, network virtualization, and performance evaluation — the same foundations that underpin modern Kubernetes networking, observability stacks, and AI workload distribution. I have hands-on experience applying ML to real-world traffic forecasting, federated learning for QoS, and Internet performance analysis.

AI Vikings bridges that research depth with practical implementation: helping companies design, learn, and prototype the infrastructure they need to run modern cloud and AI workloads on their own terms.

Built for companies exploring AI infrastructure, cloud computing, and automation

Whether you are modernizing an internal lab, evaluating private AI workloads, or preparing your technical team for Kubernetes operations, I provide pragmatic support that fits.

Technology focus

Proxmox VEOpenTofuKubernetesDockerKubeflowSlurmvLLMGitOpsAnsibleLinuxObservabilityGPU Workloads

Process

A clear path from uncertainty to implementation.

01

Discover

I map your current environment, goals, constraints, and AI use cases.

02

Design

You get a clear architecture, training plan, or prototype scope built around your needs.

03

Build

I implement, test, document, and transfer knowledge through practical sessions.

Available for Denmark-based engagements

Ready to validate your AI infrastructure idea?

Let’s discuss your environment, goals, and the fastest path to a useful Proxmox, Kubernetes, or AI prototype.

Contact me

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