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Azimuth science platforms are powered by Azimuth, a self-service portal for managing cloud resources with a particular focus on simplifying the use of cloud for scientific computing, high-performance computing (HPC) and artificial intelligence (AI).

If this is your first visit to the Azimuth portal, or you would just like to know more about how to get access to a cloud project - get started with Azimuth science platforms.

Platforms

Platforms can be deployed directly from the Azimuth Platforms interface.

Linux Workstation

A versatile Linux compute instance, which can be accessed using a web-browser.

Jupyter Notebook

A Jupyter notebook created from a repo2docker-compatible repository.

Slurm Cluster

A multi-node Slurm batch-compute cluster.

Kubernetes

A fully-featured Kubernetes container orchestration cluster.

Kubernetes Applications

Kubernetes Applications require an existing Kubernetes cluster before they can be deployed.

JupyterHub

A multi-user JupyterHub on Kubernetes, powered by zero-to-jupyterhub.

GPU-enabled Jupyter Notebooks

Launch a GPU-enabled Jupyter Notebook using JupyterHub.

DaskHub

A multi-user DaskHub on Kubernetes. Dask is a flexible library for parallel computing in Python.


Last update: December 14, 2023
Created: December 14, 2023