When to use the DSRI

The DSRI is particularly useful if you need to:

    • Gain access to more computing resources (memory and CPUs), which enables you to load larger amounts of data, or use more threads for parallelised tasks 
    • Run jobs that need to run uninterrupted 
    • Deploy any database or service you need, and connect to it from your workspace easily 
    • Book and start a workspace that uses one of our powerful GPUs

Want to use the DSRI?

Register on our DSRI website to gain access to the DSRI and its powerful resources and popular workspaces.

Register now

Workspaces at the DSRI

The DSRI proposes several popular workspaces to work with data:

    • Multiple flavours of JupyterLab (SciPy, TensorFlow, all-Spark, and more) 
    • JupyterHub, a multi-user Hub to spawn single-user Jupyter Notebooks 
    • Visual Studio Code environment  
    • RStudio, with a complementary Shiny server 
    • MATLAB
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You can then install anything you want in your workspace using conda, pip, or apt. 

How do you deploy an application on the DSRI?

Want to know more?

Visit our DSRI website for more information.