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 develops advanced flash memory solutions for cloud infrastructure. ExaFlash® offers infinite on-demand storage scalability, unmatched multiprotocol support, and market-leading energy efficiency. ExaDrive® powers the next-generation of software-defined multiprocessor SSDs, enabling flash memory to become the dominant storage media in the data center. For more information, visit nimbusdata.com, email us at [email protected], and follow us at twitter.com/nimbusdata.