
Worldwide HPC in the Cloud Forecast, 2020-2026
$5,000.00
Authors: Alex Norton, Mark Nossokoff, Earl Joseph
Publication Date: June 2022
Length: 6 pages
The cloud market for HPC has undergone a fundamental shift in the past two years. Historically, user sites treated cloud resources primarily as additional to on-premises HPC systems to address peaks in workload demand. Generally, funds for HPC cloud resources were separate from the HPC system budgets and were not commonly critical components in future system procurement planning. Over the past two years, that paradigm has changed dramatically. Hyperion Research has conducted a number of studies that suggest cloud is becoming a major component in future resource planning for many HPC user sites. Many sites are now weighing cloud next to on-premises procurement strategies and altering the size and timing of future on-premises deployments to increase their budget for cloud resources.
Related Products
Worldwide HPC Server Market Forecast Update, 2018–2023
Earl Joseph, Steve Conway, Bob Sorensen and Alex Norton
This Hyperion Research study presents our latest five-year forecast (2018-2023) for HPC server systems. Worldwide revenue for the HPC technical server market grew 15.6% from 2017 to 2018 to a record $13.7 billion. Hyperion Research predicts the HPC technical server market will grow at a 7.8% CAGR between 2018 and 2023 to reach $19.9 billion by 2023.
June 2019 | Market Forecast
Worldwide HPC-based Artificial Intelligence (AI) Market Forecast, 2020-2025
Alex Norton, Steve Conway, Earl Joseph
As AI and Big Data/HPDA applications continue to grow in importance and focus for HPC data centers and users worldwide, the demand for dedicated HPDA and AI systems are increasing at a rate nearly double that of the overall HPC market. By 2025, Hyperion Research expects roughly one-third of all system revenue to be dedicated to HPDA and AI-centric systems, in a category defined as Data[1]Centric HPC Systems. The portion of the data-centric market focused on AI applications is experiencing even higher growth, nearly 23% CAGR over the five year period, driven by the influx of AI workloads not only for new application spaces but also as a supplemental tool for the traditional simulations that have dominated the HPC space for decades. Some important HPDA workloads require analytics alone, while many benefit from combining established simulation and newer analytics methods, especially machine and deep learning.
November 202021 | Market Forecast