@@ -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.
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.
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.
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.
