Third-party performance benchmarks show CPUs with HBM2e memory now have sufficient memory bandwidth and computational capabilities to match GPU performance on many HPC and AI workloads. Recent Intel and third-party benchmarks now provide hard evidence that the upcoming Intel® Xeon® processors codenamed Sapphire Rapids with high bandwidth memory (fast, high bandwidth HBM2e memory) and Intel® Advanced Matrix Extensions can match the performance of GPUs for many AI and HPC workloads.
University of Hawaiʻi Cancer Center, Western Digital Leverage AI and Big Data in Fight Against Breast Cancer
February 17, 2021 by
Western Digital today said it has partnered with the University of Hawaiʻi Cancer Center to provide the storage infrastructure for from mammography scans cancer detection. The center’s AI Precision Health Institute (AI-PHI) has deployed the company’s Ultrastar Data60 Hybrid Storage Platform with 720TB of hard disk drives (HDDs) in support of artificial intelligence (AI), machine learning and deep learning […]
Pioneers in Deep Learning to Receive ACM Turing Award
March 27, 2019 by
Today ACM named Yoshua Bengio, Geoffrey Hinton, and Yann LeCun recipients of the 2018 ACM Turing Award for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. “The ACM A.M. Turing Award, often referred to as the “Nobel Prize of Computing,” carries a $1 million prize, with financial support provided by Google, Inc. It is named for Alan M. Turing, the British mathematician who articulated the mathematical foundation and limits of computing.”
