Introduction

The PEARL service, provided through a collaboration between The Alan Turing Institute and Science and Technology Facilities Council, is a state-of-the-art GPU-based system for AI and machine learning research. The system includes two NVIDIA DGX2 nodes, and a 600TB storage, linked by a fast interconnect. The system has several thousands of GPU cores, and a large amount of memory to support most AI or machine learning operations, such as training on large datasets. You can see the full specs of the system below.

The system was commissioned in 2019 through The Alan Turing Institute's AI for Science and Government programme and hosted by the Rutherford Appleton Laboratory, Science and Technology Facilities Council.

The system is accessible only to researchers of The Alan Turing Institute, Science, Technology Facilities Council and their collaborators, for research falling under the AI for Science theme.

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Hardware configuration

PEARL consists of two DGX2 nodes. Each of the two DGX2 nodes has the following hardware specifications:

Hardware

Details

GPUs

16 x NVIDIA® Tesla® V100, interconnected by NVLINK and NVSwitch

GPU Memory

512GB

CPU

Dual Intel Xeon Platinum 8168, 2.7 GHz, 24-cores

System Memory

1.5TB

Storage

Operating System: 2x 960GB NVME SSDs

Internal Storage: 30TB (8X 3.84TB) NVME SSDs

 

Registration

PEARL is only available for scientific and academic research purposes, and primarily intended for The Alan Turing Institute and STFC staff, and in some cases their collaborators. Access to PEARL is different depending on whether you are a member of staff at STFC/The Alan Turing Institute or an external collaborator, and this will be verified.

For Turing and STFC staff access please fill in the application form below, and once approved we will contact you.

If you are not a member of the Turing or STFC, you will have to contact your collaborator at the Turing or STFC, prior to submitting the form.

 

Privacy notice

PEARL and Data Protection

At STFC (being a Council under, and part of, United Kingdom Research and Innovation), we intend to make sure that we maintain the UK as a world-leader in science and technology research - integral to this is our commitment to protecting and safeguarding your data privacy.

It is part of STFC’s public purpose to provide services such as PEARL. In order to effectively provide that service to you, we need to collect information about you and may need to contact you from time to time with regards to its provision.

STFC considers it in the legitimate interest of anyone who has signed up to access the PEARL service that it should be able to effectively and efficiently manage the service for their benefit. STFC therefore requests and securely holds the data which it requires for these purposes. Please ensure that, for so long as you are accessing the PEARL service, you notify us if your information needs to be updated, to do so you can use the Contact Us link at the bottom of this page

PEARL stores your name, affiliation and e-mail address in our user management and helpdesk systems. In addition our webserver and login nodes store the IP address you used to connect to them in their standard logs. We store information on the jobs you submit, including any scripts you pass to the batch system, and also which modules of our modules system you have loaded. Your e-mail address is shared with the JiscMail service - as part of our user registration process you will be registered to our PEARL-USERS mailing list hosted on JiscMail. You are free to unsubscribe from this mailing list at any time.

UKRI and Data Protection

UKRI and STFC comply with the requirements of the GDPR with regard to the collection, storage, processing and disclosure of personal information and is committed to upholding the GDPR's core data protection principles. A full notice of UKRI’s position with regards to Freedom of Information and the General Data Protection Regulations (GDPR) (EU) (2016/679) can be found at: https://www.ukri.org/freedom-of-information/

Application form

(Below only for external users)