Deliverables
D2.2 Customer needs analysis template
This document outlines the definition and purpose of the customer needs analysis, detailing its role in enhancing customer engagement.
D2.3 HPC and AI Maturity
This document presents the HPC and AI Maturity survey developed by the LUMI AI Factory as a strategic tool to support customers in assessing their potential to adopt HPC and AI technologies.
D2.4 Knowledge Base for Trustworthy and Sustainable AI
This document helps users navigate legal and regulatory obligations, conduct risk assessments, promote transparency and accountability, mitigate bias, and monitor model performance.
D3.1 Report on state of AI expert support
This document provides an overview of the current practices, plans, and development needs related to customer consultation and user support.
D4.1 AI software environment
This document focuses on producing comprehensive, reliable, and high-performance software stack packaged as ready-to-use container images with accompanying documentation and support.
D4.2 MLOps environment
This document describes the LUMI AI Factory MLOps environment, which will provide easy-to-use tools for developing and using AI software.
D4.3 Inference service documentation
This document describes two inference platforms: Aitta and EXA4MIND. Aitta inference platform is developed by CSC, and EXA4MIND developed by the EXA4MIND project consortium (IT4I and METU).
D4.4 Containerized workflows
This document provides an update on the status of the Containerized Workflows development and outlines the next steps in this ongoing effort.
D4.5 HPC API and documentation
This document describes HPC-API (High Performance Computing Application Programming Interface) development for the LUMI AI Factory.
D5.1 Tooling for object storage
This document describes object storage concepts, implementation and available tooling that should be provided along with support of the LUMI AI Factory users.
D5.3 Tools for integrating dynamic and real-time data streams
This document outlines the technical, architectural, and operational requirements for integrating dynamic and real-time data streams into the LUMI environment.
D5.4 Connectors for Common European Data Spaces
This document presents the initial strategy and technical foundation for integrating the LUMI AI Factory with Common European Data Spaces through standardized connector components.
D5.5 Tools for managing confidential and sensitive data
This document presents the requirements for sensitive data management in an HPC environment and discusses briefly existing national implementations by the consortium members.
D5.6 Guidelines for data governance
This document sets the foundation for a coherent, practical, and future-proof data governance framework for the LUMI AI Factory.
D6.2 Review of ecosystem collaboration
This document reviews the ecosystem collaboration work during the first year, including a summary of activities, assessment of successes and challenges, as well as lessons learned and future steps.
D6.3 AI Factory Hub Handbook
This document provides a strategic and practical guide for planning, establishing, and operating AI Factory Hubs within universities and research environments.
D7.1 Survey of customer needs and HPC/AI maturity
This document outlines the customer needs and maturity survey, which was distributed among the LUMI AI Factory consortium countries from mid-June to mid-August 2025.
D7.4 Service portfolio
This document describes the roadmap of the core services of the LUMI AI Factory as well as when the services will be deployed, and to whom the services will be available.