LUMI AI Factory Hubs
We bring AI, advanced technology, and community straight to you
Step into the AI Factory Hubs where ideas, people, and our world-class resources come together.
A core part of the LUMI AI Factory community are our AI Factory Hubs – vibrant spaces where students, researchers, and companies learn, connect, and turn ideas into real solutions.The idea is simple: make high-performance computing, AI expertise, and community support easier to access where innovation already happens. The hubs are homes for AI communities, offering space for events, day-to-day work, and hands-on collaboration.
Who are the hubs for?
AI Factory Hubs are for everyone who wants to explore, learn, and apply Al and HPC in practice:

LUMI AI Factory Hubs
LUMI AI FACTORY HUB OTANIEMI

TUAS Building
4th floor, Maarintie 8, Espoo, Finland
(Access is provided with the assistance
of our staff.)
LUMI AI FACTORY HUB KUMPULA

Exactum Building
University of Helsinki Kumpula Campus
Pietari Kalmin katu 5
00560 Helsinki, Finland
LUMI AI FACTORY HUB OSTRAVA

VIVA Building
Conference room, 2nd floor
Technologicka 375/5, 708 00
Ostrava – Pustkovec, Czechia
How to collaborate with us?
Companies, student organisations, and research groups can host events with us. Whether it’s a workshop, seminar, hackathon, meet-and-greet, or a completely new concept, we’re excited to explore creative ideas and develop them together. We’ll work with you to bring your idea to life, using the hubs’ facilities, expertise, and community to make it a success.
Have an idea? Let’s plan together.
This code applies to all AI Factory Hub activities and spaces, both physical and virtual. Its goal is to create a safe, inclusive, and collaborative environment for learning, research, and innovation. Compliance with this code ensures that all hub activities—from training and workshops to co-working and online collaboration—support the hub’s mission and success.
The code covers all hub facilities and events, online platforms and communities, interactions between community members and use of computational resources and AI tools.
Core principles
- Respect, inclusion, and openness for all participants.
- Zero tolerance for harassment or discrimination.
- Transparency and fair recognition of contributions.
- Responsible and safe use of AI technologies.
Expected behaviours
Community members are expected to maintain a constructive, respectful, and collaborative environment by:
- Communicating respectfully and giving space for others to contribute.
- Crediting authors, sources, datasets, and models appropriately.
- Criticising ideas, not individuals.
- Following data protection rules and licensing agreements.
- Supporting newcomers and peers in their learning journey.
- Sharing knowledge while respecting confidentiality.
- Using resources efficiently and fairly.
- Reporting concerns or technical issues promptly (“See something → say something”).
Unacceptable behaviours
Examples of behaviours that will not be tolerated:
- Harassment, sexist/racist/condescending language, threats.
- Unwanted contact, stalking, or deliberate disruption of events.
- Spreading harmful content (misinformation, malware).
- Misuse of system access or data (HPC resources, internal repositories).
- Violation of academic integrity or research ethics.
AI-specific guidelines
- Do not process personal or sensitive data without authorization and a legal basis.
- Label synthetic content and cite the model/tool used.
- Do not present model outputs as facts without verification; acknowledge limitations.
- Respect dataset/model licenses and intellectual property terms.• Document methods and be transparent about AI use in research.
Privacy and documentation
- Respect designated “no recording” zones.
- Ask for consent before photographing individuals.
- Keep sensitive discussions (e.g., company data) within agreed circles.
- Follow institutional policies on data sharing and privacy.