Hardware

HammerHAI will host a new AI-optimized, EuroHPC Joint Undertaking supercomputer at the High-Performance Computing Center Stuttgart. This powerful system will be designed to support medium- to large-scale AI workloads. It will combine high computational efficiency with cloud-like usability, allowing users to seamlessly integrate existing solutions with the HammerHAI system and access high-performance AI resources on demand. Delivery of the system is scheduled for the second quarter of 2026 and it is expected to go into operation in the second half of 2026.

Cables in a server rack
A hand reaching for an abastract visualization of a neural network and touching one of the nodes causing it to emit light.

Test now and grow

The HammerHAI consortium currently operates a variety of computing systems based on NVIDIA, AMD, or Intel processors. These existing systems can already run many commonly used artificial intelligence applications and workflows, putting AI capabilities at your fingertips. By beginning now, you can also prepare to use the new HammerHAI supercomputer as soon as it becomes available.

During a one-on-one meeting with a representative of the HammerHAI concierge service, we can provide detailed specifications concerning the computing systems best suited for your application. 

Explore services

  • HammerHAI Training Platform

    HammerHAI Training Platform

    The HammerHAI Training Platform provides HammerHAI users GPU-based high-performance computing resources for AI training tasks in research, development and technology.

    Read more

  • Test Access to GPU Systems

    Test Access to GPU Systems

    HammerHAI can provide you with a test account for a pilot study, making it possible to begin developing or optimizing your deep learning and AI applications.

    Read more

Funding

The acquisition and operation of the EuroHPC Al-optimised supercomputer is funded jointly by the EuroHPC Joint Undertaking, through the European Union’s Digital Europe Programme, as well as by the German Federal Ministry of Research, Technology and Space (BMFTR) and the Baden-Württemberg Ministry of Science, Research and the Arts.

Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the EuroHPC JU. This project has received funding from the European High Performance Computing Joint Undertaking under grant agreement No. 101234027. It is co-funded by the European Commission, the German Federal Ministry of Research, Technology and Space (BMFTR), the Baden-Württemberg Ministry of Science, Research and the Arts, the Bavarian State Ministry of Science and the Arts and the Lower Saxony Ministry of Science and Culture.

Logo of the Federal Ministry of Research, Technology and Space of Germany. A black eagle icon (coat of arms of Germany) on the left, a vertical strip in the colors of the German flag (black, red, yellow) to the right of it and even further to the right the wordmark "Bundesministerium für Forschung, Technologie und Raumfahrt".
Logo of the Federal Ministry of Research, Technology and Space of Germany. A black eagle icon (coat of arms of Germany) on the left, a vertical strip in the colors of the German flag (black, red, yellow) to the right of it and even further to the right the wordmark "Bundesministerium für Forschung, Technologie und Raumfahrt".