Smart IOPS’ Data Engine SSDs Complete Certification to Work in GIGABYTE X-86 Based Servers and Provide Superior Read and Write Performance for I/O Intensive Data Center Applications

MILPITAS, Calif., May 29, 2017
– Smart IOPS, Inc. a leading flash storage solution provider, announced today that its Data Engine PCI Express (PCIe) NVM Express (NVMe) enterprise solid state drives (SSDs) have been certified to support GIGABYTE’s Rack servers. GIGABYTE is introducing a new series of high-performance enterprise Rack servers that target enterprise Compute and software-defined storage (SDS) tier that pools server direct-attached SSDs to create a highly efficient shared storage, optimized for the virtual infrastructure.

“GIGABYTE servers are designed to handle the most demanding data center applications with optimal efficiency and availability. The Data Engine SSDs integrated into these servers offer compelling customer benefits, including higher performance and availability, as well as more compelling TCO economics,” said Etay Lee, GM at GIGABYTE. “We have joined forces with Smart IOPS to do the certification work upfront, in order to enable our customers to deploy systems confidently; and reduce time and resources required to scale their infrastructure.”

The addition of Smart IOPS Data Engine enterprise NVMe SSDs as a pre-integrated option enables performance and scalability, while maximizing I/O and storage bandwidth for mixed use workloads. GIGABYTE’s powerful and reliable Rack servers combined with Smart IOPS’ superior SSDs reset the standard for performance, efficiency and sheer storage bandwidth across the demanding enterprise-class infrastructure.

“Smart IOPS’ game changing enterprise NVMe SSD offerings center around high performance, reliability and response time, and the certification of our SSDs in GIGABYTE Rack servers is representative of our continued commitment to quality assurance,” said Ashutosh Das, CEO at Smart IOPS. “Data Engine NVMe SSDs, powered by Smart IOPS’ patented TruRandom® technology are increasingly gaining traction with server and storage OEMs due to their cost-effective $/IOPS and high-performance architecture that enables end user customers to confidently deliver storage performance to meet business needs and enhance data center infrastructures.”

For additional information about Smart IOPS Data Engine SSDs, please visit smartiops.com.
Learn more about the new GIGABYTE Rack server platform.

About GIGABYTE
GIGABYTE, headquartered in Taipei, Taiwan, is a global leading brand in the IT industry, with employees and business channels in almost every country. Founded in 1986, GIGABYTE started as a research and development team and has since taken the lead in the world’s motherboard and graphics card markets. On top of Motherboards and Graphics cards, GIGABYTE further expanded its product portfolio to include PC Components, PC Peripherals, Laptops, Desktop PCs, Network Communications, and Servers & Datacenter systems to serve all aspects of digital life in the home and office. Everyday GIGABYTE aims to “Upgrade Your Life” with innovative technology, exceptional quality, and unmatched customer service. Visit their website for more information.

ABOUT SMART IOPS
Smart IOPS is an innovative leader in storage solutions whose TruRandom™ technology creates new possibilities for flash technology to have a profound impact on current and next generation data center applications. Powered by TruRandom, Smart IOPS SSDs substantially increase IOPS and bandwidth to remove the I/O storage bottleneck that plagues the modern data center. Smart IOPS’ flash storage solutions enable Cloud Service Providers (CSP), High Performance Computing (HPC) and enterprise data centers to confidently deploy I/O-intensive applications with greater reliability and SLA, at a fraction of the cost of other flash-based storage products. Visit the company website at www.smartiops.com for more information.

NVMe and NVM Express are a trademark of NVM Express, Inc.

Media Contact:
George Tehrani
Smart IOPS, Inc.
408-216- 8100
gt@smartiops.com


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