In this article, Omdia discusses our new high performance computing forecasts and the forces that will define the market outlook.
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The forces that could disrupt Omdia’s new HPC market forecast
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High Performance Computing Tracker – 2022
Data / 10 Nov 2022 / Vladimir Galabov
Current and future revenue of HPC systems, segmented by product type (servers, software, networking, and storage), end-user industry, workload type, and geographic region.
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High Performance Computing for Artificial Intelligence Applications – 2022 Data
Data / 08 Nov 2022 / Neil Dunay
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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The Analyst Team
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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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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