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:

• OpenCE overview : What has changed compared to WMLCE ?
• How to build your customized Conda setup with OpenCE.
• Resources, ecosystem and support

There will be plenty of time for questions and discussion about how best to run your code on Bede.

This course is being led by technical experts from IBM. It will feature a higher-level overview of Bede and its capabilities alongside examples of code that have been improved and optimised for Bede's GPU-accelerated architecture.

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.