As the amount of data generated at the edge increases, it is prudent to process it at the source – instead of moving massive datasets to a remote centralized location for cost, latency and privacy reasons. In addition, most AI applications need to access multiple external sources of data that are spread across public clouds, private data centers, data brokers and from internet of things (IoT) devices at the edge. So, it makes sense to host the artificial intelligence (AI) stack at an interconnection hub for greater performance and secure access to these numerous data sources.
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