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# CSC Supercomputers | ||
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![](./images/lumi2.jpg) | ||
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Name | CPUs | GPUs | Pre-installed GIS tools | Finnish spatial data locally | Scope | | ||
--- | --- | --- | --- | --- | --- | | ||
**Puhti** | 28 000 | 240 Nvidia V100 | **20** | **Yes** | Finland | | ||
**Mahti** | 90 000 | 96 Nvidia A100 | 1 | No | Finland | | ||
**LUMI** | **100 000** | **10 000** AMD MI250X | 5 | No | EU | | ||
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Puhti: | ||
* From interactive single core to medium scale parallel analysis | ||
* **The first option to consider for Finnish academic projects** | ||
* [CSC Docs: Technical details about Puhti](https://docs.csc.fi/computing/systems-puhti/) | ||
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Mahti: | ||
* For medium and large scale parallel analysis | ||
* Projects move from Puhti to Mahti, once Puhti recources become limiting. | ||
* [CSC Docs: Technical details about Mahti](https://docs.csc.fi/computing/systems-mahti/) | ||
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LUMI: | ||
* Owned by LUMI consortium: 11 countries + EU | ||
* For very large scale analysis | ||
* Mainly GPU-machine -> for deep learning projects | ||
* **For companies and international projects** | ||
* [LUMI Docs: Hardware overview](https://docs.lumi-supercomputer.eu/hardware/) | ||
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## Puhti compared to other options | ||
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| | Puhti supercomputer| cPouta virtual machine| my laptop | | ||
|---|---| ---|---| | ||
|Max per job: CPU | **4000** | 48 | 4 | | ||
|Max per job: memory, Gb | **1500** | 240 | 18 | | ||
|Max per job: GPU | **80** | 4 | 1 | | ||
|Pre-installed GIS tools | **Yes** | No | No | | ||
|Main Finnish datasets | **Yes** | No | No | | ||
|Admin rights | No | **Yes** | Yes | |