
Software-defined Memory in the Wild
The era of large, software-defined memory is upon us. In fact, it is “in the wild” now and is already delivering dramatic performance and cost benefits to many organizations.

The era of large, software-defined memory is upon us. In fact, it is “in the wild” now and is already delivering dramatic performance and cost benefits to many organizations.

The DRAM era of memory – volatile, scarce, and expensive – is drawing to a close. The era of big memory – large, persistent, virtualized, and composable — is about to replace it.

The article title, “Network Entropy is Decomposing Memory” may call up ghoulish images from a B-Horror movie, but it shouldn’t. It refers to a positive dynamic described by Rob Gingell, former chief engineer at Sun Microsystems. He said that, “Over time networks have this property of wanting to decompose things into constituent parts, have those parts get specialized and then reintegrated.”

Persistent Memory is bringing a revolution in performance, cost and capacity that will change server, storage system, data center and software design over the next decade. This article describes some ways storage vendors are integrating persistent memory into enterprise storage systems in 2019.
The SNIA Persistent Memory Summit held in late January 2019 provided a good view into the current state of industry. Some key technologies and standards related to persistent memory are moving forward more slowly than expected. Others are finally transitioning from promise to products. This article summarizes a few key takeaways from the event as they relate to enterprise storage systems.
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