United States: AI Capabilities and Prospects
Authors: Michael Feldman, Earl Joseph
Publication Date: May 2020
Length: 5 pages
By most objective measures, the United States is the leader in AI capability, both in its AI technology and its application. Whether looking at R&D spending, research capability, ecosystem support, or commercial deployment, the US is at the top or near the top of its global competition. That strength is derived largely from successes in the US private sector. In particular, computer companies in Silicon Valley and elsewhere have been at the forefront in developing new AI hardware and software technologies. A receptive user environment in areas such as web services, financial services, healthcare, and scientific research, among others, has created a virtuous dynamic between supply and demand for AI technologies and products. As a result, the depth and breadth of AI capability in the US is such that the country is well positioned to maintain its lead position in the near-term.
A Growing and Changing HPC Applications Landscape
Melissa Riddle, Mark Nossokoff
The application software landscape is quickly evolving along with HPC workloads. Independent software vendor (ISV) applications, as opposed to open-source or home-grown, have traditionally been considered the gold standard as the source for many HPC applications and were frequently cited as HPC users' top applications. While ISV revenues continue to rise, open-source application use is growing as well. Although HPC users can be reluctant to change the applications used at their site, developments such as the onset of AI, new types of hardware, and the cloud have spurred many users to explore new applications they may not have considered otherwise. Overall, the HPC application software landscape is rapidly developing in tandem with new HPC infrastructure and use cases.
4 202022 | Special Report
Forecasts of ARM-based On-premise HPC Servers
Earl Joseph, Steve Conway, Alex Norton
Since the dawn of the Supercomputer Era in the 1960s, a succession of base processors (CPUs) has attempted to satisfy HPC users' nearly insatiable demands for fast solution times on a wide spectrum of challenging problems, combined with affordability and energy efficiency. Chief among these entrants were vector processors, which ruled the HPC market through the 1990s, then RISC processors, and then x86-based processors, which began their steep ascendancy at that time and continue to dominate the market today, often in tandem with GPUs or other accelerators.
January 2021 | Special Report