Interactive AI Workflows Made Easy with SyncHPC-AI

Introduction

Data scientists and ML engineers need accessibility and ease of use for their development environment. SyncHPC-AI bridges this gap by offering a seamless, browser-based interface to powerful tools like Jupyter Notebooks, VS Code via Code-Server, and Pod Terminals. This blog explores how SyncHPC-AI empowers users to interactively access these tools without the need for complex setups or local installations.

1. Jupyter Notebooks via JupyterHub

SyncHPC-AI integrates with JupyterHub, allowing users to request and launch Jupyter Notebooks directly from their browser. This is particularly useful for data scientists and researchers who want to:

• Run Python, R, or Julia code interactively.
• Visualize data using libraries like Matplotlib, Seaborn, or Plotly.
• Access HPC resources without leaving the notebook interface.

How it works:

• Users authenticate via the SyncHPC-AI portal.
• A Jupyter Notebook is provisioned on a worker node with specific ‘pod’ (container). It can be configured with required computation power (like CPU, GPU and Memory).
• The notebook interface opens in the browser and ready for use.

2. VS Code in the Browser with Code-Server

For developers who prefer a full IDE experience, SyncHPC-AI offers Code-Server, a browser-based version of Visual Studio Code.

Key benefits:

• Access your codebase and HPC files from anywhere.
• Use extensions, terminal, and Git integration just like in desktop VS Code.
• No need to install anything locally.

Workflow:

• Launch Code-Server from the SyncHPC-AI dashboard by creating a new ‘pod’ of given specifications (CPU, GPU, Memory).
• Work on your code with full syntax highlighting, debugging, and version control.
• Run jobs or scripts directly from the integrated terminal.

3. Pod Terminal for Direct Shell Access

Sometimes, you just need a terminal. SyncHPC-AI provides Pod Terminal access, giving users a secure shell into their compute environment.

Use cases:

• Run shell scripts or command-line tools.
• Monitor jobs or system performance.
• Manage files and directories on the cluster.

Features:

• Secure, browser-based terminal.
• No SSH client required.
• Integrated with user authentication and resource management.

Conclusion

SyncHPC-AI transforms the HPC user experience by making powerful tools accessible through a simple web interface. Whether you’re coding in Jupyter, developing in VS Code, or managing jobs via terminal, SyncHPC-AI ensures you can do it all interactively and efficiently from your browser.