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.

Our main hub will be opened on Aalto University’s Otaniemi campus in December 2025. From there, we’re building a network of hubs on other campuses across our partner countries, and in the beginning of 2026 we will launch a virtual hub to bring the community together online. Our vision is to offer you more flexible ways to collaborate with peers, connect with experts, and take part in events, and training – regardless of where you are.

Who are the hubs for?

AI Factory Hubs are for everyone who wants to explore, learn, and apply AI and HPC in practice:

Students – whether you’re starting your bachelor’s, deep in your PhD, or anywhere in between, the hubs give you access to tools, training, and a community to grow your skills.
Researchers and academic staff – strengthen your projects with advanced computing power and expert support.
Startups and companies – from small teams to large enterprises, test and scale your AI ideas with world-class resources.
Government organisations and public sector – turn data into evidence-based solutions that benefit society.

Do you want to host your own event in the hub?

We warmly invite companies, student organizations, and research groups to 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.

OTANIEMI AI FACTORY HUB

To be opened in December 2025

Located in Otaniemi, Espoo – in the heart of research and student life – we warmly welcome you to use our flexible workspaces, including individual desks, meeting rooms, and open area for events and informal gatherings.

Location: 4th floor, Maarintie 8, Espoo, Finland

Premises:

~121 m² dedicated to the AI Factory hub including individual work desks
and open space for trainings and events.
Meeting rooms can also be booked from the Ellis Institute Premises
on the same floor.
Additional premises on the 4^th floor: Sauna and terrace available
upon request for special occasions.

OSTRAVA AI FACTORY HUB

To be opened at the end of 2025 / beginning of 2026

IT4Innovations National Supercomputing Center
(IT4I) will establish a dedicated AI Factory Hub at
VSB – Technical University of Ostrava (VSB-TUO).

Location: IT4Innovations National Supercomputing Center at VŠB-TUO,
Studentská 6231/1B, 708 00 Ostrava-Poruba, Czech Republic

Premises

The hub encompasses multiple spaces across the IT4Innovations building:

4th floor (~30 m²): Dedicated hub space for consultations and collaborative work
Room 237 (2nd floor): Training room for workshops and courses
Atrium (3rd floor): Event space with 50+ person capacity
Additional facilities available through VŠB-TU Ostrava departments,
especially Faculty of Economics

Special Features:

Access to HPC, QC and LUMI AI Factory resources
AI Campus programs for students specializing in artificial intelligence
Regional hub serving the Moravian-Silesian Region
Strong integration with local industry and educational institutions

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:

Reporting concerns or technical issues promptly (“See something → say something”).
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.