AI Cloud
Researchers
Students
Sensitive Data
CPU processing
GPU processing
Unlimited compute
Terminal interface
Pre-installed apps
Collaboration friendly
Working interactively
Possible to add GUI
Not for storage
Introduction
AI Cloud is a GPU cluster made up of a collecton of NVIDIA GPU's, designed for processing GPU-demanding machine learning workloads. The platform is accessed through a terminal application on the user's local machine. From here the user logs in to a front end node, where files management and job submission to the compute nodes takes place.
Not for confidential data
With AI Cloud you are only allowed to work with data that is not confidential according to AAU’s data classification model (classified as level 1).
If you would like to work with a higher data classification level (levels 2 and 3), then we support HPC platforms UCloud and TAAURUS.
Features
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High-Performance GPU Cluster
Harness powerful NVIDIA GPUs to process large datasets and complex models quickly and efficiently.
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Containerization for Flexibility
Keep software environments consistent across nodes, supporting flexible workflows and reproducible experiments.
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Efficient Batch Processing
Use Slurm for reliable scheduling, streamlined batch execution, and efficient management of large workloads.
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Quota and job control
Manage large workloads with clear quotas, partitions, and scheduling controls for predictable platform usage.
