TRANSPARENT, DYNAMIC, AND DEMOCRATIC AI SOLUTION: Data INDUSTRY: Health and life sciences COUNTRY: Canada EXPLORE DIGITAL GAME CHANGERS “Before utilizing the computational power of HPE Apollo, our development cycles were running for weeks. Today, research cycles are complete in days.” – DR. ALEXANDER WONG, ASSOCIATE PROFESSOR, CANADA RESEARCH CHAIR IN AI AND MEDICAL IMAGING, UNIVERSITY OF WATERLOO OBJECTIVES • Reduce the time it takes to train neural networks of all types on vast amounts of data • Optimize compute resources to accelerate research cadence • Establish platform for collaborative working REQUIREMENTS • Deploy computational power and a configurable GPU topology • Shift research from tabletop workstation to large-scale computing • Assist with solution design to

Join for free to read