Strato

Researchers

Indicates if the platform is accessible for researchers (e.g., PhD students, postdocs, faculty) for research purposes.

Students (CPU processing)

Indicates if the platform is accessible to students for educational purposes (e.g., coursework, projects, thesis).

Sensitive Data

Whether the platform supports processing and storing sensitive or confidential data

CPU processing

Indicates if the platform supports computational tasks that only require CPU resources.

GPU processing

Indicates if the platform supports computational tasks that require GPU resources for acceleration (e.g., deep learning).

Unlimited compute

Whether the platform allows unrestricted compute usage, without limitations on the amount of usage time.

Terminal interface

The method used to access the platform.

Pre-installed apps

Indicates if the platform comes with pre-installed applications or frameworks for convenience (e.g., Ansys, PyTorch, TensorFlow).

Collaboration friendly

Indicates if the platform supports collaborative work (e.g., sharing resources, co-editing, team projects).

Working interactively

Indicates if the platform supports interactive workflows where users can interact with running processes (e.g., Jupyter notebooks).

Possible to add GUI

Whether it is possible to run graphical user interfaces (GUIs) on the platform (e.g., remote desktops, JupyterLab).

Introduction

Strato is a cluster of hardware that is virtualised to create instances that essentially function as a regular computer environment. Strato Instances are virtual machines, that can be launched by the user when they need it. When the instance has been created, it can be accessed from a terminal application on the user's local computer.

Getting Started

How to access

Learn how to access Strato

Guides for Strato

Learn the basics on how to use Strato

Terms and Conditions

Get an overview of the Terms and Conditions for Strato

Key Features

Customizable Virtual Machines

Adjust CPU, RAM, and storage to match research needs, providing flexibility for diverse workloads.

Scalable Computing Power

Effortlessly scale resources up or down for optimal performance and cost-efficiency during intensive computations.

CPU & GPU Support

Leverage powerful CPU and GPU resources for simulations, machine learning, and complex model training.

Common Use Cases

IoT and smart system control

Blockchain and distributed systems

Data processing and analytics

Internet and network technologies

Server and client application hosting

Simulation and modeling tasks

Machine learning model training

Parallel computing and optimization

Natural language processing

Important Information

Not for confidential or sensitive data

With Strato you are only allowed to work with public or internal information according to AAU’s data classification model (classified as levels 0 and 1, respectively).

If you would like to work with confidential or sensitive data (classified as levels 2 and 3), then we support another HPC platform called UCloud.

Review the terms and conditions

Before getting started, take a few moments to review the terms and conditions of using Strato, and don't hesitate to reach out to our support team if you have any questions or concerns.