Ecosystem

Reproducible AI/HPC labs, offline documentation and a shared environment for learning Linux, data science and distributed computing.

A traceable foundation to reproduce environments, share images and use CPU/GPU resources without rebuilding every stack from scratch.

Workstations and servers that are easier to deploy, monitor and maintain, with professional support and isolated operation options.

A consistent path from the user workstation to the cluster: Slurm, containers, monitoring, provisioning and harmonised security policies.

A local foundation to train, adapt and run models while keeping sensitive data under control.

Reusable recipes, tests, documentation and field feedback, with governance intended to become transparent and contribution-driven.