Authors: Alex Norton, Bob Sorensen, Earl Joseph and Steve Conway
Publication Date: July 2018
Length: 3 pages
First quarter 2018 HPC server revenues were strong, with notable high quarter over quarter growth from the first quarter of last year. Hyperion Research has been analyzing the data to ascertain what these numbers mean and what they may indicate about full-year 2018 in HPC. These assessments incorporate Hyperion Research discussions with a global base of people in the HPC sector as well as an analysis of the Hyperion Research QView database, a long-standing collection of quarterly revenues and projections for the major HPC vendors.
This inaugural, two-day AI Hardware summit held in Mountain View, California, at the Computer History Museum, brought together researchers, vendors, and users to explore the development of the AI ecosystem from a hardware perspective. Large companies, startups, and analysts joined to hear over 30 speakers and roundtables. Although the overall theme was all AI hardware, many of the presentations focused on AI processors and the work that is being done to design hardware to further the development of the evolving and growing field of AI, machine learning, and deep learning.
November 2018 | Quick Take
The Department of Energy at Oak Ridge National Laboratory (ORNL) recently announced plans for the development of a 1.5 exaflops system called Frontier to be delivered in 2021. US HPC maker Cray and chip maker AMD are the two key US commercial partners in this effort. Despite numerous press articles centered on the 1.5 exaflops peak performance of Frontier, ORNL's original RFP released in April of 2018 clearly called out the diverse workload requirements that Frontier would have to successfully handle that span the traditional modeling and simulation sector, big data analysis, and AI applications, while demonstrating a 50X improvement in solving key DOE science problems that today run at the 20 petaflops level. To meet those ambitious goals, strong support from DOE's companion $1.7 billion Exascale Computing Project (ECP) will be critical.
May 2019 | Quick Take