[jandrewrogers]

Yes, there are big data applications where direct-attached storage density has a large impact on the economics of working with and analyzing that data. This is mostly due to bandwidth constraints and the fact that many analytical workloads can run efficiently with limited compute/memory relative to storage. Using a vast number of servers when they are not actually required introduces its own challenges. Sensing and telemetry data models sometimes have this property.