A New Frontier of AI and Deep Learning Capabilities

Powerful and cost-effective HPC platforms promote data fusion, reduce training time, and enable ultra-scale real-time data analytics to power deep learning systems. In today's digital climate, organizations of every size and industry are both collecting and generating enormous amounts of data that can potentially be used to solve the world's greatest problems--from national security and fraud detection to scientific breakthroughs and technological advancement. However, traditional analysis techniques and practices are not capable of rapidly delivering automated, real-time insights from the rising data volumes to the point that artificial intelligence (AI) is becoming vital to harnessing the full understanding of scientific and business data. The evolution of Big Data is driving a major paradigm shift in the field of AI, which is increasing the need for high performance computing (HPC) technologies that can support high performance data analytics (HPDA). According to an IDC report, the HPDA server market is projected to grow at a 26% CAGR through 2020, including an additional $3.9 billion in revenue by 2018.