Services provided
HammerHAI provides a comprehensive range of services designed to facilitate the adoption and advancement of artificial intelligence in industry and research. At the core of its offerings is a high-performance, AI-optimized supercomputing infrastructure that enables the training and inference of complex AI models. By combining the computational power of supercomputing with cloud-like accessibility, HammerHAI ensures that companies and research institutions can develop and deploy AI-driven solutions efficiently and at scale.
A key aspect of HammerHAI’s service portfolio is personalized consulting and technical support. Experts guide users through the entire AI lifecycle, offering strategic advice on identifying relevant AI applications, optimizing models for scalability and performance, and estimating computational costs. Additionally, the initiative ensures compliance with European regulatory frameworks, including the General Data Protection Regulation (GDPR) and the AI Act, providing a secure and legally compliant environment for AI development.
HammerHAI offers a selection of pre-trained models and containerized AI development environments to accelerate AI adoption. These resources allow companies and researchers to reduce development time and integrate AI solutions more seamlessly. The main objective is to ease the migration of existing solutions to HammerHAI. Furthermore, the platform facilitates secure collaboration, enabling teams to share datasets and AI models while maintaining strict data governance standards.
Beyond infrastructure and technical support, HammerHAI places significant emphasis on knowledge transfer and skills development. Through tailored training programs, workshops, and university collaborations, it fosters an AI-ready workforce, equipping professionals and researchers with the expertise needed to implement AI effectively. These educational initiatives and hands-on experimentation opportunities ensure that users can apply AI technologies in a practical and impactful manner.
By providing this comprehensive suite of services, HammerHAI lowers the barriers to AI adoption, empowering organizations across industry and academia to securely, efficiently, and sustainably leverage AI-driven innovation.
This initiative, coordinated by the High-Performance Computing Center of the University of Stuttgart (HLRS) and four core partners (GWDG, KIT, LRZ, and SICOS), aims to provide businesses and researchers with secure, scalable, and easily accessible AI resources for training and inference, covering the key aspects of the entire AI lifecycle. The primary objective of HammerHAI is to lower the barriers for start-ups, SMEs, large enterprises, and scientific institutions that need powerful computing capabilities to create and deploy AI-driven solutions. By blending state-of-the-art supercomputing know-how with modern “cloud-like” features, HammerHAI will speed up innovation, help train an AI-ready workforce, and foster a robust and secure AI ecosystem in Germany and Europe. In this context, Germany’s Gauss Centre for Supercomputing (GCS) and associated HPC sites follow a coordinated approach to support Europe’s AI needs.
| Key Sectors | Healthcare, Energy, Manufacturing, Climate Change and Environment, Education, Culture and Media, Public Sector, Finance, Insurance |
| Services Available from | NA |
| Contact | jaif fz-juelich [dot] de (Send us an email), Follow us on LinkedIn, , Mastodon, Bluesky or X |
Services provided
Model Development Services
- High-Speed Data Transfer, Storage, and Management: Ensuring secure and efficient management and transfer of large datasets for AI tasks
- Virtual Development Spaces: Providing configurable, cloud-based HPC environments suitable for a range of AI workflows
- Development of AI MVPs: Offering pre-configured architectures that facilitate rapid prototyping and initial AI product development
- Foundation Model Catalog & Custom Hosting: Delivering access to foundation models and other pre-trained models along with custom model hosting capabilities
- Task-Specific Model Derivation and Fine-Tuning: Supporting the development and refinement of customized ML models derived from large-scale foundation models
- HPC Model Training: Providing resources and infrastructure for training of ML models requiring significant computational power
- Reinforcement Learning: Supplying efficient execution of simulation environments and training for reinforcement learning experiments
- Model Performance Improvement: Implementing structured processes and tools to systematically analyze and improve model effectiveness
- Hyperparameter Optimization & Meta Experiments: Offering automated experimentation frameworks for extensive hyperparameter tuning
Data Services
- Data Acquisition: Guiding the process of identifying and sourcing relevant datasets for AI applications powered by JAIFs data spaces
- Data Annotation & Preparation: Automating data annotation, preprocessing and augmentation with high performance resources to minimize manual effort
- Synthetic Data Generation: Producing synthetic datasets through generative AI and simulation techniques to enhance available data resources
Productisation Services
- Model Complexity Reduction: Providing methods and tools to streamline AI models for effective deployment on target hardware
- Collaborative Model Benchmarking & Validation: Offering benchmarking frameworks to objectively assess model performance against competing applications
- Model Deployment: Creating standardized, automated deployment workflows applicable across various hardware platforms
- Monitoring and Performance Tracking: Establishing systems for ongoing monitoring and real-time analysis of AI applications
- Legal Assessment for AI Products: Assisting with regulatory compliance through advisory services and automated compliance checking tools
Onboarding Services
- Introductory Self-Learn Resources: Providing educational materials to facilitate understanding and initial use of AI technologies
- User-Centered Development Interfaces: Designing user-friendly interfaces accessible to varying levels of technical expertise
- Co-working with AI Experts: Offering structured collaboration opportunities including physical co-working spaces with AI experts for knowledge sharing and joint development
Consulting Services
- Exploration Consulting: Conducting consultations to identify suitable opportunities for AI application within specific business contexts
- Feasibility Assessment & Roadmapping: Evaluating technical feasibility and developing clear implementation roadmaps
- Lifecycle Consulting: Providing comprehensive strategic guidance through each phase of AI product development
HPC Optimization Services
- First-Level Support: Offering initial guidance to facilitate user access to HPC systems
- HPC Deployment and Monitoring: Supporting deployment and performance monitoring of AI workflows on HPC infrastructure
- Parallelisation of Training and Inference: Advising on techniques to effectively parallelize computational workloads for ML training and inference
- Reduction of Memory Usage: Addressing memory limitations through specialized optimization techniques
- HPC-Efficient Application Scale-Out: Providing solutions for effectively scaling applications on HPC systems
The JUPITER AI Factory (JAIF) consortium, led by Forschungszentrum Jülich (FZJ), is establishing a world-class AI ecosystem targeting for European startups, SMEs, industry and cutting-edge research with the most powerful European supercomputer, JUPITER, at its core. Four main partners from the federal states of North Rhine-Westphalia and Hesse work closely with other established associated partners combining exascale supercomputing, data and support structures, excellence in science and in methodological research on AI, including largest foundation models, closest links to industry and SMEs, and community building. JAIF’s main partners are Jülich Supercomputing Centre (JSC) at FZJ, the Center for Artificial Intelligence at RWTH Aachen University (AI Center), the Fraunhofer Institutes for Intelligent Analysis and Information Systems (IAIS) and for Applied Information Technology (FIT), and the Hessian Centre for Artificial Intelligence (hessian.AI). Associated partners include the German AI Association (KI Bundesverband), WestAI, hessian.AISC, and the Institute for Machine Learning and Artificial Intelligence (LAMARR). JAIF will collaborate strongly with all other AI Factories in Europe to establish a European AI innovation cluster, starting with a collaboration with the AI Factory France, taking advantage of their exascale capacities (JUPITER, Alice Recoque) toward training of leading AI models, and particularly, to develop federated learning applications.
The project is co-funded by the European Commission (through the EuroHPC Joint Undertaking), the German Federal Ministry of Education and Research (BMBF), the Ministry of Culture and Science (MKW) of the state of North Rhine-Westphalia (NRW) and the state of Hesse.
