From 1b7b346d0bce16e6d66e4bc40c50477f2553a852 Mon Sep 17 00:00:00 2001
From: Tim Kreuzer <t.kreuzer@fz-juelich.de>
Date: Mon, 11 Nov 2024 14:55:28 +0100
Subject: [PATCH] update overview in juniq
---
docs/index.md | 12 ++++++------
1 file changed, 6 insertions(+), 6 deletions(-)
diff --git a/docs/index.md b/docs/index.md
index bace7f5..240a9ba 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -10,25 +10,25 @@ For users with HPC accounts, you can harness the power of JSC's supercomputers l
By using JUNIQ, you gain access to:
-### 1. **Supercomputing and Cloud Power in Your Browser**
+<h3> 1. <strong>Supercomputing and Cloud Power in Your Browser</strong></h3>
JUNIQ connects you to world-class supercomputing systems such as **JUWELS**, **JEDI**, **JURECA** and more. But even if you don't have access to HPC resources, you can still use **JSC-Cloud**, offering scalable computing power for your workflows, including smaller data analysis tasks, web applications, and development environments.
-<h3> 2. <strong>Easy-to-Use Interface</strong> </h3>
+<h3> 2. <strong>Easy-to-Use Interface</strong></h3>
The platform uses the popular **Jupyter Notebook** interface, making it easy for users of all skill levels to interact with powerful computational resources. Whether you're using HPC resources or the cloud, you can run code, develop models, and perform analyses all from your web browser.
-### 3. **Scalable Workflows**
+<h3> 3. <strong>Scalable Workflows</strong> </h3>
With JUNIQ, you can start with lightweight jobs on the **JSC-Cloud** or scale up to thousands of cores and GPUs on **HPC systems** for large-scale simulations and analysis.
<h3> 4. <strong>Interactive Development</strong> </h3>
Develop and test code interactively with instant feedback, enabling fast iteration of data science workflows, simulations, and machine learning models. You can choose between the **HPC infrastructure** or the **cloud** based on your project's needs.
-### 5. **Use Custom Docker Images**
+<h3> 5. <strong>Use Custom Docker Images</strong></h3>
JUNIQ supports **custom Docker images**, meaning you can define and use your own computing environment. This flexibility allows you to pre-install specific dependencies, configure your environment exactly as needed, and run reproducible computational workflows across multiple sessions.
-### 6. **GitHub-Based Environment with Binder**
+<h3> 6. <strong>GitHub-Based Environment with Binder</strong></h3>
Through **repo2docker** integration, JUNIQ allows you to use the **mybinder.org** infrastructure to build Docker images directly from your GitHub repositories. This feature enables you to turn a GitHub repo into a fully functional environment without manually building Docker images, making your code and environment highly portable and shareable.
-### 7. **Access to Specialized Libraries and Tools**
+<h3> 7. <strong>Access to Specialized Libraries and Tools</strong></h3>
JUNIQ provides pre-configured environments with libraries optimized for both **HPC** and **cloud** use cases, including scientific computing and machine learning tools such as TensorFlow, PyTorch, and more.
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GitLab