|By Marketwired .||
|June 3, 2014 08:00 AM EDT||
MILPITAS, CA -- (Marketwired) -- 06/03/14 -- SGI (NASDAQ: SGI), a trusted leader in high performance computing and Big Data and an SAP global technology partner, will preview a single-node appliance at the SAPPHIRE® NOW conference being held June 3-5 in Orlando, Florida. Building on SGI's in-memory computing leadership and SGI's January development announcement for the SAP HANA® platform, the forthcoming solution is expected to enable real-time business at extreme scale and high availability, without complexity.
Utilizing a scale-up, single-node architecture with breakthrough coherent shared memory, the appliance is being built to enable organizations to run enterprise resource planning (ERP), data warehouse, and other applications on a single, in-memory system and scale beyond 6TB. Freed from the limits and complexity of clustered appliances, large enterprises across industries will be able to perform analytics, transactions, and processes in real time for faster, smarter decisions and greater competitive advantage.
- Bankers can view customers holistically to enhance long term value;
- Manufacturers have real-time knowledge of operations to optimize costs and assets;
- Retailers can consolidate point of sale (POS), e-commerce, and ERP data for a 360-degree view of customer activity;
- Healthcare organizations can analyze clinical data from greater sample sizes to improve patient care.
The SGI appliance will feature a new offering in the SGI UV server line designed for in-memory data management and application platforms, and leverages seventh generation SGI technology and over 100 SGI patents in shared-memory innovation. The first release of the appliance will contain an 8-socket UV system utilizing Intel® Xeon® E7 8890 v2 processors coupled with 6TB of shared memory that is designed to scale to 32 sockets and 24TB of shared memory as a single-node system. By simply adding sockets and memory, enterprises will be able to expand their platform seamlessly and overcome the performance degradation and complexity challenges of clustered solutions. Performance will scale linearly, automatically, and without need to re-distribute data or balance I/O.
Shared memory communication within the appliance will be achieved using ultra-fast, low latency SGI NUMAlink® 7 interconnects. To protect data against memory power loss, data and log files will be stored on disk using dual NetApp® E2700 RAID arrays. And to further simplify deployment and accelerate time to value, the appliance will arrive pre-racked and pre-configured with SUSE® Linux® Enterprise Server.
To fulfill the uptime demands of global, online environments, maintain high service levels, and guard against costly downtime, the appliance will provide high availability with simplified administration. Utilizing two single-node systems, enterprises will be protected against logical, system, and site failure, and restore critical applications and data analytics in seconds.
"Large enterprises are striving for the performance and simplicity of single node systems beyond the current threshold for an appliance running SAP HANA," said Jorge Titinger, president and CEO of SGI. "Drawing on the experience gained in the delivery of hundreds of shared-memory solutions to HPC customers, SGI is designing a single-node system with unprecedented scale that will enable our customers to confidently leverage the full power of SAP HANA to achieve their business objectives."
Preview at SAPPHIRE NOW
In partnership with Enterprise Analytics experts Cognilytics, SGI will preview the appliance in its booth (#136) during SAPPHIRE Now in Orlando, Florida, June 3-5, 2014. SGI will also present the solution architecture and joining with Cognilytics, present business use cases, at scheduled attendee sessions. Learn more about SGI UV technology at www.sgi.com.
SGI, the trusted leader in high performance computing (HPC), is focused on helping customers solve their most demanding business and technology challenges by delivering technical computing, Big Data analytics, cloud computing, and petascale storage solutions that accelerate time to discovery, innovation, and profitability. Visit sgi.com (sgi.com/) for more information.
© 2014 Silicon Graphics International Corp. All rights reserved. SGI, the SGI logo, SGI UV, SGI InfiniteData and SGI NUMAlink are trademarks or registered trademarks of Silicon Graphics International Corp. or its subsidiaries in the United States and/or other countries. Intel and Xeon are registered trademarks of Intel Corporation. SAP, SAP HANA, SAPPHIRE and all SAP logos are trademarks or registered trademarks of SAP AG in Germany and in several other countries. SUSE is a registered trademark of SUSE LLC. NetApp is a registered trademark of NetApp, Inc. in the United States and/or other countries. All other product and service names mentioned are the trademarks of their respective companies.
Any statements contained in this document that are not historical facts are forward-looking statements as defined in the U.S. Private Securities Litigation Reform Act of 1995 (the "Reform Act"). Words such as "anticipate," "believe," "estimate," "expect," "forecast," "intend," "may," "plan," "project," "predict," "should, " "will" and similar expressions as they relate to the certification, commercial release and other aspects of UV are intended to identify such forward-looking statements for purposes of the safe harbor provisions of the Reform Act. SGI undertakes no obligation to publicly update or revise any forward-looking statements. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. The factors that could affect SGI's future financial results are discussed more fully in SGI's respective filings with the U.S. Securities and Exchange Commission ("SEC"), including SGI's most recent Quarterly Report on Form 10-Q. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date of this release.
Grayling Public Relations
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