The 'Jupyter Notebook' Service

JupyterLab is the latest web-based interactive development environment for notebooks, code, and data. Its flexible interface allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and machine learning. A modular design invites extensions to expand and enrich functionality.

The Jupyter Notebook is the original web application for creating and sharing computational documents. It offers a simple, streamlined, document-centric experience.

Primarily this service caters to Data Scientists who wish to use Python-based or R-based environments to process their data. Each instance is launched on one of Hex's worker nodes and can use up to 20 CPU cores, and approximately 32GB of RAM. The storage for notebooks is handled by a centralised VM ucrel-hex-nas which provides synchronised storage between instances. It is however somewhat limited in its current configuration, and we are looking to upgrade this to a colocated storage server in the future.

If you have specific requirements or concerns, please contact us via the links below.

If you require GPU accelerated notebooks, please contact us for access to the Managed Metal service. Although do please make sure your notebooks work on a CPU instance first before attempting them on the limited GPU resources.

I understand that this is a BETA service, and while persistent storage between instances is now provided, no backups are currently available so users are responsible for their own data retention. It is the user's responsibility to ensure a suitable backup strategy is used to prevent unexpected data loss, and it is understood that this service is supplied with no guarantee, implied or otherwise.