Skip to content

Commit ca25bb8

Browse files
committed
make platform pages more accessible from index
2 parents a3b4068 + 0b085ef commit ca25bb8

File tree

2 files changed

+24
-32
lines changed

2 files changed

+24
-32
lines changed

docs/index.md

Lines changed: 18 additions & 28 deletions
Original file line numberDiff line numberDiff line change
@@ -1,27 +1,30 @@
11
# CSCS Documentation
22

3-
<div class="grid cards" markdown>
4-
- <p style="text-align:center">Visit <a href="https://status.cscs.ch/">status.cscs.ch</a> for the status of Alps systems, and the latest announcements.</p>
5-
</div>
6-
7-
The Alps Research infrastructure hosts multiple platforms and clusters targeting different communities
3+
The Alps Research infrastructure hosts multiple platforms and clusters targeting different communities.
4+
A good spot to get started is with the documentation for the platform that your project is running on.
85

96
<div class="grid cards" markdown>
107

118
- :fontawesome-solid-layer-group: __Platforms__
129

1310
Projects at CSCS are granted access to [clusters][ref-alps-clusters], which are managed by platforms.
14-
Start by finding the platform for the cluster that you want to use.
1511

16-
[:octicons-arrow-right-24: Platforms overview][ref-alps-platforms]
12+
[:octicons-arrow-right-24: HPC Platform (__Daint__, __Eiger__)][ref-platform-hpcp]
13+
14+
[:octicons-arrow-right-24: Machine Learning Platform (__Clariden__)][ref-platform-mlp]
1715

18-
Go straight to the documentation for the platform that hosts your project:
16+
[:octicons-arrow-right-24: Climate and Weather Platform (__Santis__)][ref-platform-cwp]
1917

20-
[:octicons-arrow-right-24: HPC Platform (Daint, Eiger)][ref-platform-hpcp]
18+
For an overview of the different platforms:
2119

22-
[:octicons-arrow-right-24: Machine Learning Platform (Clariden)][ref-platform-mlp]
20+
[:octicons-arrow-right-24: Platforms overview][ref-alps-platforms]
21+
22+
</div>
2323

24-
[:octicons-arrow-right-24: Climate and Weather Platform (Santis)][ref-platform-cwp]
24+
Alps is a general-purpose compute and data Research Infrastructure (RI) open to the broad community of researchers in Switzerland and the rest of the world.
25+
Find out more about Alps...
26+
27+
<div class="grid cards" markdown>
2528

2629
- :fontawesome-solid-mountain-sun: __Alps__
2730

@@ -37,26 +40,13 @@ The Alps Research infrastructure hosts multiple platforms and clusters targeting
3740

3841
[:octicons-arrow-right-24: Alps Storage](alps/storage.md)
3942

40-
- :fontawesome-solid-layer-group: __Accounts and Projects__
41-
42-
The first step is to get an account and a project
43-
44-
[:octicons-arrow-right-24: Accounts and Projects][ref-account-management]
45-
46-
- :fontawesome-solid-key: __Logging In__
47-
48-
Once you have an account, you can set up multi factor authentication
49-
50-
[:octicons-arrow-right-24: Setting up MFA][ref-mfa]
51-
52-
Then access CSCS services
53-
54-
[:octicons-arrow-right-24: Accessing CSCS Web Services][ref-access-web]
55-
56-
[:octicons-arrow-right-24: Using SSH][ref-ssh]
43+
</div>
5744

45+
<div class="grid cards" markdown>
46+
- <p style="text-align:center">Visit <a href="https://status.cscs.ch/">status.cscs.ch</a> for the status of Alps systems, and the latest announcements.</p>
5847
</div>
5948

49+
6050
## Tutorials and Guides
6151

6252
Learn by doing with our guides and tutorials.

docs/platforms/mlp/index.md

Lines changed: 6 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -3,17 +3,19 @@
33

44
The Machine Learning Platform (MLP) provides compute, storage and expertise to the machine learning and AI community in Switzerland, with the main user being the [Swiss AI Initiative](https://www.swiss-ai.org/).
55

6+
## Getting started
7+
68
<div class="grid cards" markdown>
7-
- :fontawesome-solid-mountain: [__Tutorials__][ref-tutorials-ml]
9+
- :fontawesome-solid-mountain: __ML Guides__
10+
11+
For an overview of how to use common machine learning software, tools and workflows, read our [machine learning documentation][ref-software-ml].
812

913
Tutorials on how to set up and configure a machine learning environment in order to run LLM workloads such as inference, fine-tuning and multi-node training can be found in the [tutorials section][ref-tutorials-ml].
1014

11-
Also check out the [PyTorch documentation][ref-software-ml-pytorch] for information about how to run PyTorch.
15+
Check out the [PyTorch documentation][ref-software-ml-pytorch] for information about how to run PyTorch.
1216

1317
</div>
1418

15-
## Getting started
16-
1719
### Getting access
1820

1921
Project administrators (PIs and deputy PIs) of projects on the MLP can to invite users to join their project, before they can use the project's resources on Alps.

0 commit comments

Comments
 (0)