Details

The Alan Turing Institute is offering access to The Joint Academic Data Science Endeavour (JADE) high performance computing (HPC) facility for research projects in the fields of artificial intelligence (AI) and data science.

JADE is a Tier2 HPC resource designed specifically for applications in machine learning and data science. The system features 22 Nvidia DGX-1 deep learning systems, each with 8 Nvidia V100 GPUs connected via NVlink. For details on the JADE Tier 2 service and how to access it, please see the JADE website.

The aim of this call is to extend access to multiple high performance GPUs to projects that would benefit from them. Particularly projects that, due to the high demand and cost of GPUs, might not be able to use them otherwise. We would like to encourage adventurous, high-risk, high-reward projects that will benefit from this opportunity.

Eligibility

The call is open to all with the following exceptions,

  1. Members of a JADE partner institution
  2. Researchers affiliated with the Turing (Turing Fellows, Turing Research Fellows, Turing Visiting Researchers and Turing Research Associates)

Researchers who are a member of a JADE partner institution should contact their local institutional support. Those who are affiliated with the Turing may request access to JADE through the normal process.

How to Apply

To apply for this call complete the application form and email to [email protected]

The form has been designed to ask minimal information and simplify the process for applicants. When making allocations, the panel will consider the following factors,

  • The suitability of the software for JADE
  • The reasonability of the compute time requested
  • The potential of the scientific impact of the research in the fields of AI or data science.

Call Schedule

Event Date
Applications welcome 8 June 2020
Application deadline 29 June 2020
Panel meeting 1 July 2020
Project start date July–August 2020

 

More information

For more information on the call or the JADE supercomputer please contact the Research Computing Platforms team at [email protected]