Introduction

Welcome to the CSUF Nautilus JupyterHub User Guide. Use the left navigation sidebar to browse through our step-by-step documentation.

Nautilus Data Storage Limits¶

Usage Policy¶

The JupyterHub environment provided by the National Research Platform (NRP) is a shared, research-focused computing platform. Users must follow strict guidelines for appropriate use:

• Do NOT store protected or sensitive data, including: HIPAA (Health Information), PID (Personal Identifiable Data), FISMA-regulated data, and FERPA-protected student records.

• Persistent storage is provided but not permanent; data may be DELETED per Acceptable Use Policy.

• By accessing Nautilus, you agree to comply with the Acceptable Use Policy (AUP). The site has Cluster Policies and acceptable use policy statement.

• The environment is actively monitored, and AUP violations may result in loss of access to NRP resources.

• Please purge any data you don’t need. We’re not an archival storage, and can only store the data actively used for computations. Any volume that is not accessed for 6 months can be purged without notification.

• When publishing work that has benefited from NRP services or resources, please include an acknowledgment statement (see documentation).

System Overview¶

Hardware¶

• 16 CPU nodes: 56 cores, 405.6 GB RAM each

• 6 GPU nodes: 64 cores, 16× NVIDIA L4 (24 GB), 1.2 TB RAM each

• 3 Storage nodes: 1.3 PB usable storage

Software¶

• Jupyter Notebook / JupyterLab supports multiple languages for Python, R, Julia, GIS, etc.

• JupyterHub

• Nautilus uses Kubernetes, an open-source container orchestrator, to execute interactive or batch type workloads within containerized environments.

Network¶

• Network connectivity on the CSU Fullerton campus is provided by Corporation for Education Network Initiatives in California (CENIC).

• All nodes utilize a 10G network connection to the Science DMZ to isolate research-related traffic.

JupyterHub Images¶

• Jupyter Stack Minimal Notebook

• Jupyter Stack R Notebook

• Jupyter Stack Scipy Notebook

• Jupyter Stack TensorFlow Notebook

• Jupyter Stack PyTorch Notebook

• Jupyter Stack Julia Notebook

• Jupyter Stack Datascience Notebook

• NRP R Studio Notebook

• Eclipse C/C++ Notebook

• Kube Notebook

• SageMath Notebook

• GIS Notebook

• Health Informatics Notebook

• Astronomy Notebook

• LLM Notebook

• Molecular Dynamics Notebook

• NRP Deep Learning & Data Science Full, PyTorch (CUDA)

• NRP Deep Learning & Data Science Full, TensorFlow (CUDA)

For more information please visit Nautilus JupyterHub - Image & Resource Guide.

About This Guide¶

The latest version of this guide is made using Jupyter Book. Jupyter Book is an open source project for building beautiful, publication-quality books and documents from computational material.

Jupyter et al. (2025)