How you get to the equipment
Members and clients can use the facility by individual agreement. It is not an automatic entitlement; purpose, capacity and data handling decide.
About the Lab
The Lab rests on two things: equipment you can actually measure on, and people who know what to measure and how to read the result.
The technical facility is in Ostrava. It serves model comparisons, load testing and checks of local deployment, the work that cannot be done on paper.
The exact configuration, free capacity and access conditions are confirmed for each brief. Equipment on temporary loan from partners is distinguished from the Lab's own.
01 / Equipment
According to the Lab's founding document the facility consists of the following. Parameters and availability are checked for each test.
Members and clients can use the facility by individual agreement. It is not an automatic entitlement; purpose, capacity and data handling decide.
Before access is granted we define the purpose, the duration, the available capacity, the price or membership allowance, the access method and the data handling rules.
02 / Team and members
The Lab brings together developers, AI and infrastructure specialists and people from companies. Listed below are members whose involvement is confirmed and verifiable.

Founding member · the Lab's first member
AI agents · DevOps · MLOps
He has worked in IT for more than twenty years, moving from development and academic research through Big Data and cloud infrastructure to DevOps, MLOps and artificial intelligence. He has taken part in projects at VŠB-TUO and IT4Innovations, at Merck and Cognizant, and in public administration projects.
Today he combines experience running production systems with the development of AI agents and multi-agent systems, from design to deployment.
03 / Community and taking part
Members bring practical problems, domain knowledge and experience. They help decide which topics are worth testing.
Membership by itself does not define the scope of a paid service. Tests, development and reserved compute are agreed separately.
04 / Services
The services build on each other. You can start with any of them, depending on where you are.
Can AI handle a task our people do today?
Service detailsWhich solution has the quality and handles our workload?
Service detailsShould it run on-premise, in the cloud, or both?
Service details