Healthcare is one of the major success stories of our times with advances in medicine, supported by progress in public health, research, innovation and technology, significantly reducing mortality and morbidity. As longevity increases, healthcare systems face growing demand for their services, rising costs and a workforce that is struggling to meet the needs of its patients. 

By 2030, AI will be able to reveal patterns in disease and aid treatment and care. Today, we’re already seeing AI-powered solutions addressing routine, repetitive and largely administrative tasks on a daily basis. The value AI and ML create in giving decision makers the ability to take meaningful action is clear to see. What’s not so clear is the long list of challenges facing the deployment of the necessary computing power required to run these AI/HPC workloads.