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Jupyter makes it possible to write and execute programs and analyze data in popular programming languages such as Python, R and Julie. It can be accessed from any location via a fast, interactive and secure web interface. The advantage of Jupyter is the quick start-up of a virtual environment with pre-prepared tools, so users do not have to worry about maintaining the computer infrastructure. Data storage and sharing is possible through the PUH system included in Jupyter.
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Users have a range of processor cores and RAM at their disposal. The lower limit for the resource is clearly defined and these are guaranteed values that cannot be lower in the environment:
| Name | CPU | RAM | GPU | Total Disk | PUH | ||
|---|---|---|---|---|---|---|---|
| Min | Max | Min | Max | ||||
| Srce server | 2 | 12 | 6 GB | 20 GB | 10 GB | ||
| Wolfram engine server | 2 | 12 | 6 GB | 20 GB | 10 GB | ||
| GPU server | 2 | 8 | 16 GB | 24 GB | 10 GB |
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*The GPU server consists of a Multi-Instance GPU (MIG) mig-1g.5gb which is about 1/7 the power of the A100.
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