This report forecasts revenue from high performance computing systems used for artificial intelligence workloads, including servers, software, networking, and storage. The forecast is broken down by end-user industry, workload type, and geographic region, from 2020 to 2027.
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High Performance Computing for Artificial Intelligence Applications – 2022 Data
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The Analyst Team
Neil Dunay
Follow AnalystPrincipal Market Forecaster
Neil Dunay is Principal Market Forecaster, forecasting on enterprise technology, particularly for AI and other emerging technologies. His focus is on leveraging statistical tools to discover interrelationships among technological, economic, demographic, and sales trends that drive market evolution.
Neil joined Omdia in March 2020, following more than 20 years of experience researching ICT markets. Before joining Omdia, he was an engagement manager at International Planning and Research in Waltham, Massachusetts, where he assisted leading global technology companies in their strategic planning decisions by estimating their technology product market positions and forecasting market opportunities. Before IPR, Neil was a telecommunications industry analyst for KMI/PennWell in Newport and Providence, Rhode Island, where he estimated and forecast markets for fiber-optic cable and optoelectronic equipment for telecom clients. Neil holds a Master of Arts in international economics from The Johns Hopkins School of Advanced International Studies in Washington, D.C.
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Vladimir Galabov
Follow AnalystSenior Research Director, Enterprise Infrastructure
Vlad is responsible for the enterprise infrastructure teams at Omdia, including the cloud and data center research practice and the cybersecurity research practice. He guides the teams’ research strategy and produces research with a focus on disruptive trends, such as infrastructure upgrades necessary to enable broad adoption of AI, as well as the impact of AI on the enterprise infrastructure stack.
Vlad joined Omdia, formerly IHS Markit Technology, in 2016. He assumed the responsibility for the cloud and data center research practice in 2021, developing many of its unique, industry-leading technical analyses, including its flagship “single source of truth” data center capex and capacity model. He held senior positions at Intel and Ciena, where his data-led insights served as a central input into the companies’ strategies. Key market models he developed include an in-depth analysis of telecommunications network operations costs, a PC inventory tracker, and an actionable IoT market forecast. Vlad’s work has even facilitated decision-making in the British Parliament. He holds a Bachelor of Science degree in economics and management from Aston University, the UK.
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Alexander Harrowell
Follow AnalystPrincipal Analyst, Advanced Computing for AI
Alexander covers the market for semiconductors as it relates to AI and machine learning. This includes GPUs, dedicated AI ASICs and ASSPs, FPGAs, and future technologies, as well as companies such as Arm, NVIDIA, Cerebras Systems, Hailo, and Ambarella. He can help you with market forecasting, technology strategy, and positioning.
Starting as a journalist at Mobile Communications International magazine, Alexander has 17 years’ experience. Since joining Omdia in 2016, Alexander has covered technologies for small and medium enterprises, with a focus on mobile and, more recently, 5G for enterprises. He developed the Omdia Enterprise 5G Innovations Tracker to monitor the emerging enterprise 5G and CBRS ecosystem. He was the second employee of start-up consulting firm STL Partners, where he worked on mobile, open source, distributed computing, and the two-sided business model.
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Manoj Sukumaran
Follow AnalystPrincipal Analyst, Data center IT
Manoj is Omdia’s data center computing and networking expert. He covers trailblazing technologies such as processors that enable the programmability of compute and networking hardware, edge computing, composable infrastructure, and the adoption of open compute hardware. He has over 15 years of experience in engineering and financial services, consulting, and research.
Before joining Omdia, Manoj was the founder and director of QWave India, a hardware engineering services company that specializes in designing data center hardware for clients such as Facebook and LinkedIn. His team delivered Facebook’s first three open compute switches, pioneering the bare metal switching technology that has revolutionized the data center. He also worked on the architecture and design of Open19’s first switch and server. Manoj has also held senior positions in financial services, consulting, and media companies. He holds two bachelor’s degrees—one in physics and one in information technology—and an MBA from India’s Mahatma Gandhi University.
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Natalia Modjeska
Follow AnalystResearch Director, AI and Intelligent Automation
Natalia Modjeska leads the AI & IA research team at Omdia. She has 15+ years of experience in developing and deploying analytics and AI. Her diverse career includes R&D, product and program management, sales, consulting, and client advisory. She has worked with organizations of all sizes and levels of maturity across many industries and geographies helping clients to harness the power of data, advanced analytics and AI for transformative change. She has advised 200+ organizations around the globe on topics ranging from AI strategy and use cases, to execution, best practices, governance, ethics, emerging trends, and vendor due diligence.
Natalia is passionate about helping clients to demystify AI/ML and to deploy these technologies responsibly. As part of that effort, she serves as an expert on the ISO/IEC JTC 1/SC 42 - AI Standards working group and she volunteers with several non-profits to develop responsible AI certification; increase AI literacy and improve government through innovative technologies. Natalia holds a PhD in AI (NLP) from the University of Edinburgh in Scotland and an Executive MBA from the Ivey School of Business (Western University).
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