The EuroHPC Joint Undertaking (EuroHPC JU) has signed a procurement contract with Bull to deploy a new AI supercomputer in Linköping, Sweden. The system will underpin the next phase of the Mimer AI Factory (AIF) initiative, expanding Europe’s AI infrastructure. According to Innovation News Network, the AI supercomputer will be hosted and operated by the National Academic Infrastructure of Supercomputing in Sweden (NAISS) at Linköping University.
It will support the Mimer AIF in combining cloud-enabled supercomputing, large-scale sensitive data storage, and advanced software layers to accelerate AI development across multiple industries. The immediate result is a significant increase in computing capacity and service capability within the Mimer AIF ecosystem.
This expansion is expected to strengthen Sweden’s role in Europe’s AI Factory network while enabling more advanced applications across healthcare, materials science, and autonomous systems. The new AI supercomputer is designed to move Mimer AIF from a support platform into a high-capacity AI development hub.
It integrates compute, storage, and specialised expertise into a single environment aimed at production-level AI workloads. This includes infrastructure for handling sensitive datasets, which is critical for sectors like healthcare and life sciences.
Alongside raw compute power, the platform provides software tooling and vertical expertise to help organisations design, train, and deploy AI systems more efficiently. Since its launch in April 2025, Mimer AIF has already supported more than 200 European companies. These organisations have used the platform to prepare data for AI use, access high-performance computing resources, and receive technical training.
The new system is intended to scale those services rather than replace them. Mimer AIF has a defined sector focus, reflecting both Swedish industrial strengths and broader European priorities. In practical terms, this means enabling workloads such as generative models for structural biology, large-scale AI training for personalised medicine, and simulation-heavy development in autonomous technologies.
The gaming industry is also included, where high-performance AI can support real-time rendering, behavioural modelling, and large-scale simulation environments. The system is structured to support both experimentation and deployment.
One key use case is the development of foundation models in collaboration with international partners. These models can then be adapted for specific industrial or academic applications. Another focus is enabling generative AI in scientific research. For example, structural biology and drug design require large datasets and intensive compute cycles, both of which the new infrastructure is designed to handle.
Access is not limited to large institutions. The platform is primarily aimed at startups and SMEs, although it will also be available to the wider research community. Resource allocation will be jointly managed by EuroHPC JU and NAISS, reflecting their shared investment.
The Mimer AI Factory expansion is backed by a total budget of €29.76m, with funding split evenly between European and national sources. Half of the funding comes from the Digital Europe Programme (DEP) via EuroHPC JU. The remaining 50% is provided by the Swedish Research Council. Installation of the AI supercomputer is scheduled to begin in 2026.
Once operational, it will mark the transition of Mimer AIF into a fully scaled AI Factory within the European network. The broader objective is to create a distributed ecosystem of AI Factories across Europe, each contributing specialised capabilities while maintaining interoperability.
For Sweden, the expansion reinforces its position in the European AI landscape. For participating companies and researchers, it provides access to infrastructure that would otherwise be out of reach. The contract signals a shift from early-stage enablement to large-scale deployment.
With the addition of this AI supercomputer, Mimer AIF moves closer to functioning as a full-stack AI Factory capable of supporting both innovation and production workloads at scale.
