High-performance computing at AAU
High-performance computing (HPC) means using powerful computers to run analyses, simulations, and AI workloads that would be slow or impractical on a laptop alone. At Aalborg University, CLAAUDIA helps researchers, lecturers, and students choose and use the right environment for their data, security requirements, and workflow.
Not sure where to begin?
Start with the HPC Decision Tree if you want a guided recommendation. You can also use the HPC Comparison Table for a side-by-side overview. If you already know your requirements, jump directly to the AAU HPC overview and External HPC overview tables below.
News
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7 May 2026
Mistral AI for AAU researchers
AI Studio and Le Chat are now available for research API and chatbot workflows.
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27 March 2026
New UCloud data centre
See migration deadlines, expected downtime, and practical next steps for users.
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20 March 2026
RAGFlow on UCloud
Use AI over your own documents and data with grounded retrieval on UCloud.
Service status and planning
- Check upcoming maintenance in Service windows.
- Upcoming migration to new SDU datacenter
- UCloud is moving to a new SDU datacenter. If you have data in the AAU/K8s or AAU/VM providers, you will need to transfer it to SDU/K8s before the migration deadline.
- Read the step-by-step AAU/K8s / AAU/VM migration guide UCloud datacenter migration.
- See the full, technical description from the consortium behind UCloud New SDU Datacenter.
- UCloud is moving to a new SDU datacenter. If you have data in the AAU/K8s or AAU/VM providers, you will need to transfer it to SDU/K8s before the migration deadline.
AAU HPC overview
Choose among AAU-managed platforms for virtual machines, GPU computing, student projects, and sensitive-data workflows.
| Platform | Details | Target users | Quicklinks |
|---|---|---|---|
| Strato | Virtual-machine platform where researchers launch customizable instances with CPU/GPU resources and access them via terminal from their local computer. | Researchers | About How to access Application form |
| UCloud | High-performance research platform with an intuitive web interface, interactive computing, and preloaded apps for analytics and visualization workflows. | Researchers | About How to access Application form |
| AI Cloud | NVIDIA GPU cluster for machine-learning workloads, accessed through terminal with job submission and file management on frontend nodes. | Researchers | About How to access Application form |
| AI-LAB | Student-focused HPC environment with GPU resources for deep learning, simulations, and high-speed data analysis in courses and projects. | Students | About How to access Application form |
| TAAURUS | Secure, flexible, and scalable research platform for sensitive-data processing with compliance-focused project governance and GPU-capable compute. | Researchers | About How to access Application form |
External HPC overview
Beyond AAU’s local platforms, you can apply for compute time on national Danish and European facilities.
| Platform | Details | Target users | Quicklinks |
|---|---|---|---|
| DeiC Throughput HPC | National Danish throughput resources (Computerome, GenomeDK, Sophia) with access via DeiC local or national resource pools and call-based applications. | Researchers | About Application form |
| LUMI | EuroHPC-funded supercomputer in Finland for scalable CPU/GPU projects, where AAU users can start with local pool access and scale to larger national/EuroHPC grants. | Researchers | About Application form |
| EuroHPC | European access-call system for applying to multiple supercomputers (e.g., benchmark, development, regular, and extreme-scale allocations). | Researchers | About |