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High-performance computing at AAU

Explore the high-performance computing (HPC) resources available for AAU students and researchers, how they work and what they can be used for in your projects. HPC provides the necessary power to train machine learning models, run simulations, perform data analysis, and conduct modeling, among other tasks

AAU HPC

Find the most suitable system for your project. You can also complete the HPC Decision Tree Quiz or check out the HPC Comparison Table to assist you in exploring the HPC options fitting your specific needs.

For researchers

Strato

Strato provides virtual machines users can launch as needed, accessible from a terminal on their local computer.

About Strato How to access Application form
For researchers

UCloud

UCloud is a research platform providing high-performance computing with an easy-to-use interface for data analytics.

About UCloud How to access Application form
For researchers

AI Cloud

AI Cloud is a GPU cluster designed for demanding machine learning workloads, accessed via terminal for job submission.

About AI Cloud How to access Application form
For students

AI-LAB

AI-LAB offers Aalborg University students HPC access, ideal for deep learning, simulations, and fast data analysis.

About AI-LAB How to access Application form

News: National DeiC HPC call H2-2026 now open

Has your research outgrown your computer’s capacity and do our local facilities and budgets no longer meet your computational needs?

Then this news is for you. Through competitive calls, researchers can apply for access to DeiC National HPC resources, Denmark’s national pool of high-performance computing systems.

  • Application period: 13 January 2026 – 10 March 2026
  • Resources available: 1 July 2026
  • HPC systems in the call: DeiC Interactive HPC/UCloud, Sophia, GenomeDK, Computerome 2 andLUMI

For more information, see: DeiC national resources page and the official DeiC H2-2026 call announcement

External HPC

DeiC Throughput HPC

DeiC Throughput HPC offers queued job execution on large CPU clusters, including DTU Sophia, GenomeDK, and Computerome 2.0.

About Deic HPC Application form

LUMI

LUMI is AAU’s largest supercomputer, providing CPU and GPU processing via a queue-based, containerized job system.

About LUMI Application form

EuroHPC

Aalborg University researchers can access EuroHPC supercomputers by applying for computing time, like external research funding.

About EuroHPC