Hybrid and Advanced Machine Learning Platform for Manufacturing, Engineering, and Research
HammerHAI is a European initiative with the goal of promoting the use of artificial intelligence (AI) in industry and science in Germany.
Together with our partners, we are using HammerHAI to build a secure, scalable, and user-friendly AI infrastructure aimed at European companies, start-ups, and research institutions.
Starting in spring 2026, HammerHAI will operate an AI-optimized supercomputer at the High Performance Computing Center Stuttgart (HLRS), which is designed for large-scale training and inference of AI models. A cloud-like platform will enable existing solutions to be easily migrated, in strict compliance with applicable data protection regulations such as the GDPR and the EU AI Act. This makes it ideal for highly sensitive data and data with high security requirements, as it guarantees confidentiality, integrity, and availability.
In addition to computing power, HammerHAI bundles other components such as consulting, technical support, training, pre-trained models, and collaboration tools to enable efficient development and application. The “concierge” model personally and proactively accompanies users through all phases of an AI project.
HammerHAI is one of 13 “AI factories” in Europe, each with its own focus. The German factory HammerHAI focuses on manufacturing, engineering, the automotive sector, start-ups, SMEs, and academic research.
The project is co-financed by the European Commission and several German federal and state ministries.
Project Goals
- Provision of a scalable, secure, and cost-effective infrastructure, combined with comprehensive services and support
- Lowering barriers that have previously hindered the introduction of AI in industry: the high cost of proprietary hardware, the lack of specialized personnel, and concerns about data security and compliance
- Tailored to the needs of manufacturing companies, engineering firms, automotive manufacturers, SMEs, and academic institutions
- Personalized consulting from the initial inquiry to AI implementation
- Workshops, hands-on labs, and university courses to impart AI expertise
- Provision and optimization of AI models
- Cloud-like access to computing resources
- Secure, GDPR-compliant infrastructure that ensures data management and data protection
- Shared platforms for exchanging data sets and AI models with strict data protection
- Integration of automated monitoring tools and MLOps best practices for continuous optimization and performance improvement
GWDG’s Role in the project
The GWDG is significantly involved in the design and implementation of the following central components of the AI Factory:
- Further development and adaptation of the existing Scalable Artificial Intelligence Accelerator (SAIA) platform to enable models from any HPC center to be integrated into a globally available offering
- Porting the Secure HPC workflow to the AI supercomputer and integrating it with the AI stack to enable highly sensitive data to be processed and comply with applicable data protection regulations
- Cloud infrastructure, including implementation of scalable MLOps (machine learning operations) workflows based on existing workflow technologies in KISSKI to create a robust and secure basis for AI applications
- Development and implementation of a data facility to manage and provide data required for training and applying AI models
- Use of the Academic Cloud as a solution for identity and access management
- Transfer of expertise and training
- Compliance with the requirements of the General Data Protection Regulation (GDPR) and the European AI Act
- Public relations
Project Partners
