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Implications for investing in a new microprocessor: essential checklist

By Michael Azoff, Distinguished Analyst, Ovum, and Aditya Kaul, Research Director, Tractica

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As new innovative microprocessors are being brought into the market, one of the biggest drivers is artificial intelligence (AI), especially machine learning (ML) workloads, but other use cases exist as well, from processing traditional analytics applications on big data to high performance computing (HPC). When enterprises are evaluating whether to make use of a new chip, they are often making considerable investment decisions. For example, a cloud-based product or service with a global audience may require millions of data processing operations per hour, providing the right processor in the data center is a major undertaking in terms of costs, resources, and effort. This report is designed to help users of such chips or those considering the need for such chips, when making large investment decisions for supplying data centers or massively distributed edge devices, with pointers to what should be evaluated beyond basic performance statistics.

Download Michael and Aditya's latest whitepaper to find out more.

Implications for investing in a new microprocessor essential checklist

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