I started this project to help myself and my fellow master students then. Although we were studying at a well-funded university, computation resources for education were still scarce. As far as I can tell, all machines listed in this project are retired. And I'm glad that the students now have more channels to find these computation resources.
From now on, I primarily maintain this repository for a single purpose: have a no-pain installation guide in setting up a GPU machine for Deep Learning.
👉 Click here and follow the instruction.
If you have any questions on this guide, submit issues.
If you want to contribute, submit pull request.
The following contents are archived.
The GPU machines are intended to help NSC Master for managing computing intensive applications.
Machine Name | GPU Spec | Status | System Version |
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zucca |
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zpaghetti |
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zabaglione |
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zampone |
You can request the GPU resources if you are an (with priority)
- INI NSC Master student
- Master student who is working on a project at INI
- INI member if you need the machine to run some jobs for a short time.
Please follow this guide after you received username and password.
If you have any questions on machine, reach admin via email.
The machines will be regularly updated by the administrator. Emails will be sent to users 1 week prior to the update if there is a scheduled maintenance.