All of our events may be recorded and shared via the University of Sheffield Kaltura platform so those who cannot attend may still benefit. We will consider your attendance implict consent to this.
In this second workshop, Ludo Enault will discuss and advise on Bede’s data science tools.
Bede’s unique GPU-accelerated architecture makes it ideal for AI and machine learning research using well-known common frameworks. However there are also exclusive IBM toolsets that further this advantage.
This workshop will cover:
There will be plenty of time for questions and discussion about how best to run your code on Bede.
This session is only open to those working or studying at one of the N8 universities.
When registering for this event, please use your academic (.ac.uk) e-mail address.
This will help us to verify your eligibility for the session.
For queries relating to collaborating with the RSE team on projects: rse@sheffield.ac.uk
Information and access to JADE II and Bede.
Join our mailing list so as to be notified when we advertise talks and workshops by subscribing to this Google Group.
Queries regarding free research computing support/guidance should be raised via our Code clinic or directed to the University IT helpdesk.