2022 Year-End Worldwide HPC On-premises Market Closes at $30.8B, with Servers Representing Half of the Broader Market
Authors: Mark Nossokoff, Melissa Riddle, and Earl Joseph
Publication Date: August 2023
Length: 6 pages
The global on-premises HPC broader market closed 2022 at $30.8B. This represents a 3.6% growth rate over 2021 and a 5.1% CAGR from 2017-2022. The modest growth over 2021 is largely a result of 2021 being such a high growth year, along with global economic uncertainties in 2022. The overall market from 2017-2022 experienced some major inconsistencies, such as supply chain issues caused by the covid-19 pandemic on the downside and the acceptance of what are now the two systems atop the current Top500 list, Frontier and Fugaku.
IBM’s Q System One: One More Piece of the Larger Puzzle
IBM's recent announcement of their new Q System One universal quantum computer is yet another milestone in the firm's long-term commitment to transitioning quantum computing (QC) hardware from one-off research status into a capable commercial offering. Although the new Q System One, as announced, does not demonstrate any significant advances in current quantum computing capability, as measured by the number of qubits per system, it does show that IBM can design and manufacture a system that, at the right price, could be attractive to a wide range of users looking to integrate quantum computing into their overall R&D process.
January 2019 | Quick Take
The AI Hardware Summit: A Recap
Alex Norton, Bob Sorensen, Steve Conway and Earl Joseph
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