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 of the latest 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 the access to the flagship Nvidia Tesla V100 GPUs which, currently in high demand and short supply, might not be available 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,
- Members of a JADE partner institution
- Researchers affiliated with the Turing (Turing Fellows, Turing Research Fellows, Turing Visiting Researchers and Turing Research Associates)
Researchers who are interested in accessing JADE and 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 little 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 time requested
- The potential of the scientific impact of the research in the fields of AI or data science.
Call Schedule
| Applications welcome | 13th January 2020 |
| Application deadline | 10th February 2020 |
| Panel meeting | 13th February 2020 |
| Project start date | February–March 2020 |
More information
For more information on the call or the JADE supercomputer please contact the Research Computing Platforms team at [email protected]