Press Releases

Nimbus Data Granted Patent for Parallel Memory Architecture

Purpose-Built Design Outperforms Legacy Scale-up Approaches by 6x

Aliso Viejo, Calif., December 21, 2016 – Nimbus Data, developer of ExaFlash, the world’s most advanced flash memory platform for cloud infrastructure and big data, today announced the granting of a patent for its non-blocking all-flash architecture. Nimbus Data’s Parallel Memory Architecture scales capacity and performance linearly within each ExaFlash system, offering latency and throughput performance up to 6x faster scale-up designs.

Patent number 9,268,501, is entitled “High Performance Solid-state Based Computer Data Storage Array”. Thomas Isakovich, CEO and founder of Nimbus Data, is the noted inventor.

The patent announcement follows Nimbus Data’s recent unveiling of its ExaFlash Platform, a next-generation all-flash system that offers unprecedented scale and record-setting efficiency. The ExaFlash Platform offers up to 50x greater rack density while requiring 95% less energy than the competition. ExaFlash enables cloud providers and enterprises to build high performance data centers with the lowest possible operating cost.

“Conventional HDD-centric architectures employed by the majority of all-flash array vendors trap flash performance behind legacy shared bus and scale-up designs,” stated Thomas Isakovich, CEO and Founder. “Now patented, Nimbus Data’s Parallel Memory Architecture overcomes the limitations of generic off-the-shelf servers, capturing the full performance potential of all-flash technology.”

About Nimbus Data

Nimbus Data has developed the world’s most advanced flash memory platform for cloud infrastructure and big data. The ExaFlash™ platform offers virtually infinite on-demand scalability, 95% lower energy consumption, unmatched multiprotocol support, and over 50x greater rack density, all at less than half the cost of competing approaches. For more information, visit nimbusdata.com, email us at info@nimbusdata.com, and follow us at twitter.com/nimbusdata.