In today’s information-driven economy, quickly processing ever-increasing volumes of data into actionable information to win customers and edge out the competition have become table stakes.  Unfortunately, the statistics for converting data into information is DISMAL.

“Though about 90 percent of the digital data ever created in the world has been generated in just the past two years, only 1 percent of that data has been analyzed”

Source: Straight talk about big data – McKinsey & Company (2016)

Despite the emergence of various analytics platforms over the past decade, the McKinsey statistic clearly points to a bottleneck that appears to be preventing enterprises from moving to an information-centric organization.  One major contributor to this bottleneck is storage technology.  Data loses value the older and more stale it gets so the ability to access and process data quickly is a significant competitive advantage.  Simply put, modern CPUs are starving for data to process and peripheral storage solutions keep data too far away, hindering CPU ability to process data quickly – until recently.

Hello world, I’m persistent memory.

“The ROI is bigger memory footprint that can be more economical than DRAM, favorable TCO, and potentially better application boot-up speeds, which has high availability and productivity implications.”

Source: Joe Unsworth – Gartner (2019)

Persistent memory represents a fundamentally disruptive new category of memory and storage.  Enterprises of all sizes can now affordably persist large multi-terabyte datasets in-memory and benefit from the superior latency, bandwidth, and IOPS of the memory channel versus peripheral storage.  In this webinar, Intel, Formulus Black, and Lenovo talk about how they are working together to enable cost-effective AND high performance in-memory computing and adoption in the enterprise.