As emerging AI use cases like autonomous vehicles, continuous health monitoring and real-time fraud analysis enter the mainstream, businesses increasingly need ultra-fast data processing close to where data is generated and used. Meanwhile, data privacy concerns, data sovereignty laws and other regulations are motivating them to keep data as close as possible to the source. With the rapid growth of AI as an essential enterprise technology, companies have begun recognizing the importance of edge deployments in their overall IT architecture. Those that have relied on the cloud or an on-premises data center are experiencing the limitations of centralized processing models…

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