Try out the latest processor technology for HPC and AI workload experiments

Performance improvement and energy efficiency of HPC and AI workloads

Due to continuous developments in high-performance computing, AI and upgrades to large-scale research facilities such as CERN’s Large Hadron Collider, the size of datasets is growing exponentially. Specific expertise is required to process datasets with a range from gigabytes to petabytes as efficiently as possible on a high-performance computer such as our national supercomputer Snellius. Furthermore, energy-efficient operation is becoming increasingly important for energy-intensive processes such as high-performance computing.  

With the new processor technology via the Fujitsu MONAKA processor, users of the Experimental Technologies Platform can gain experience and share knowledge to keep working with demanding, computationally intensive tasks manageable and affordable. This is relevant for universities, research institutions and other organisations with demanding computing tasks.

Official handover moment: Vivek Mahajan, CTO/System Platform Head of Fujitsu & Hans Louwhoff, member of the board of directors of SURF.

About the Experimental Technologies Platform

SURF’s Experimental Technologies Platform is an open environment for collaborative experimentation and tackling future challenges in research and computing. Here, we explore various cutting-edge ICT technologies and methodologies in the fields of advanced computing and data driven science. 

Interested in trying out?

SURF invites its members to try out and test the latest processor technology on the Experimental Technologies Platform. Are you interested? Then share your HPC and AI workload challenges with us! Contact SURF: etp-support@surf.nl.