Strato
Built on a Linux-based system, Strato supports data-driven research that requires enhanced processing power with both CPU and GPU capabilities. It allows users to configure virtual machines to address a variety of computational challenges, ranging from quick tasks to long-term projects.
What is Strato?
The Strato platform 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. The required software can then be installed and configured to the user's needs. By using Strato your research can benefit from additional RAM, CPU and GPU hardware. Strato can thus provide you with flexibility and additional computational power, when your research needs it.
Introduction to Strato
Basic information and instructions for first-time users of Strato.
- Running CPU/GPU-intensive simulations for scientific research.
- Scaling virtual machines for data-driven research projects.
- Developing and testing algorithms on configurable virtual machines.
- Experimenting with cloud computing in a flexible, personal environment.
- Running short-term GPU-heavy computations efficiently.
Operating Strato involves running your own Linux virtual machine and learning how to use the Linux terminal environment. It can also be useful to understand secure connections through SSH and secure file transfer protocols.
Learn the Key Features
Discover the essential features of Strato.
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Customizable Virtual Machines
Strato enables users to create and manage virtual machines, adjusting resources such as CPU, RAM, and storage to fit their specific research needs.
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Scalable Computing Power
With Strato, you can scale computing resources up or down depending on the intensity of your workload, ensuring optimal use of resources and cost-efficiency.
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CPU & GPU Support
Utilize powerful CPU and GPU resources for tasks like machine learning model training and simulations of complex systems.
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Network Storage
Provides substantial network storage capabilities, allowing researchers to store and process large datasets directly within the platform without the need for external storage solutions.
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Self-managed Environment
Strato offers a Linux-based environment where users have full control over their virtual machines, ensuring the ability to install and manage necessary software.
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User Flexibility
Whether for data-driven research, minor services, or experimentation, Strato provides a personal server environment that users can customize and adapt to their research needs.
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.