How ‘Flash as System Memory’ Will Revolutionize Enterprise Computing

by Jerome McFarland

Modern businesses have a historic opportunity to transform big data into life-changing benefits for their customers and partners.  With vast amounts of data being generated at unprecedented rates, a wealth valuable information lies at their fingertips. In many situations, however, simply collecting information is not enough. Instead, the ability to quickly understand, and act upon, the information is often the difference between winning and losing.

For many enterprises, instantaneous analysis and real-time decision-making are already critical aspects of their daily business operations.  Increasing competition for the hearts, minds, and wallets of lucrative customer bases will only serve to accelerate the uptake of relevant monitoring, capture, and analysis technologies. In-memory computing lies at the heart of this revolution.

In recent years, dramatic advances in CPU technology have provided massive increases in processing power.  In-memory data, unlike remotely stored data, is readily accessible to powerful CPUs, which eliminates wasted cycles and enables full utilization of the processors.  Simultaneously, software infrastructures have rapidly evolved to support these critical and emerging requirements.  Powerful new databases, data grids, caching platforms, and Big Data processing engines have emerged, facilitating real-time, in-memory data management and accessibility.

The last remaining barrier to the in-memory revolution is the availability and economics of the memory itself.  Unfortunately, DRAM has critical capacity and cost limitations that typically make large memory deployments both technically and financially infeasible.  However, system designers have historically had no choice, since DRAM was their only option…until now.

Top Reasons To Use Flash as System Memory:

  • Powers Big Data analytics– Using Flash as System Memory enables critical data to reside in-memory and supports larger data sets.  This provides huge benefits for analytic applications, where memory capacity constraints typically hamper performance and increase solution cost.
  • Minimizes TCO – Using Flash as System Memory can provide up to 4X the capacity of DRAM, enabling dramatic infrastructure consolidation, minimizing CAPEX, OPEX, and Total Cost of Ownership (TCO).
  • Improves data availability – By making more memory available within each server, deploying Flash as System Memory eliminates performance bottlenecks that plague traditional solutions.  Slow data transfers from storage…or worse, from across a network…are minimized or completely eliminated.
  • Integrates seamlessly – Via solutions like Diablo Technologies’ Memory1™, Flash can deployed as System Memory within standard servers and with no changes to CPUs, motherboards, operating systems, or applications.  Memory1 uses JEDEC-compliant LRDIMM/RDIMM hardware and fits into standard DDR4 memory slots.

Jerome McFarland is the director of marketing at Diablo Technologies.

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