silicon graphics internation (SGI) Key Developments
Atomic Weapons Establishment Selects Silicon Silicon Graphics International Corp.'s ICE X Systems
Nov 20 13
Silicon Graphics International Corp. announced that the Atomic Weapons Establishment (AWE) in the United Kingdom has selected three SGI(R) ICE(TM) X systems to rapidly advance sophisticated scientific and technological capabilities, and to enhance the simulation methods used to verify the safety and reliability of the Trident warhead. The new SGI ICE X systems will help AWE accelerate results by modeling more accurately and scaling up to perform more scientific models quickly -- while also enabling them to easily add capacity for future simulation needs. The ICE X system, with its integrated blade design, offers rack-level redundant power and cooling via air, warm water or cold water, for enhanced reliability and availability. The result is a system with unmatched efficiency, performance and overall value. AWE is installing two SGI ICE X M-Cell systems and a single ICE X D-Cell test system with a combined peak performance of 1.8 Petaflops. The SGI ICE X M-Cell Systems jointly utilise in excess of 8,000 Intel Xeon processors, specifically Ivy Bridge E5-2680 v2 2.8GHz (115w). Each system has a visualisation sub-system based on SGI VizServer and some High-Memory nodes for legacy applications. The Network is an FDR Infiniband and the Storage is provided by 6 x DDN SFA12k delivering an aggregate performance of over 150GB/second via the Lustre parallel filesystem. SGI ICE X is the only system in its class offering expandability within and across technology generations while maintaining uninterrupted production workflow, and is the only platform capable of seamless scalability from tens of Teraflops to tens of Petaflops.
SGI Supports New NVIDIA Tesla K40 GPU Accelerators Delivering 10x Performance
Nov 18 13
SGI announced the availability of NVIDIA(R) Tesla(R) K40 GPU accelerators in fully managed and integrated solutions across its entire server product line. The NVIDIA Tesla K40 GPU accelerator is the first and highest-performance accelerator optimized for Big Data analytics and large-scale scientific workloads. It delivers double the memory and up to 40% higher performance than its predecessor, and 10 times higher performance than CPU. SGI customers in financial services, academia and homeland security continue to see significant performance improvements using NVIDIA Tesla accelerators. Example applications are edge trading in financial services, weapons testing, seismic wave applications at Princeton University, along with Sendai Nation College of Technology using SGI with Tesla for electromagnetic field analysis. Swinburne University is another SGI customer that has continued to leverage the NVIDIA Tesla technology for astrophysics research. Based on the NVIDIA Kepler(TM) computing architecture, the NVIDIA Tesla K40 GPU accelerator provides 2,880 CUDA parallel processing cores, 4.29 teraflops single-precision and 1.43 teraflops double-precision peak floating point performance, 12GB of ultra-fast GDDR5 on-board memory and a memory bandwidth of 288 GB/s. NVIDIA Tesla K40 GPU accelerators are available in the following SGI platforms: SGI(R) UV(TM) 2000, with scalability out to 64 TB of coherent main memory for in-memory GPU, the UV 2000 can support up to 16 NVIDIA Tesla K40 GPUs; Dense Rackable(R) servers, featuring the dense C1104G or C2110G servers for up to 4 NVIDIA Tesla K40 GPUs in a single server; The Rackable C2108 and UV 20 servers that offer larger memory and I/O footprints and up to 2 NVIDIA Tesla K40 GPUs vs. typical dual-socket servers and in less dense configurations, NVIDIA Tesla K40 GPUs can be hosted in an SGI ICE X fabric via Rackable service nodes.
SGI Introduces SGI InfiniteData Cluster, SGI ObjectStore and SGI LiveArc AE
Oct 31 13
SGI has introduced SGI InfiniteData Cluster, SGI ObjectStore and SGI LiveArc AE for SGI InfiniteStorage Gateway as part of the company's portfolio of big data solutions. Factory-integrated with the Cloudera Hadoop distribution running on Red Hat Linux software and SGI Management Center, InfiniteData Cluster solutions arrive pre-racked, pre-configured, and pre-tested, saving 100s to 1,000s of IT man hours and providing business with a world-class analytics platform in days versus months. The InfiniteData Cluster platform architecture offers broad flexibility and scalability to address a wide range of customer needs, with choice of drives, network connectivity and more processor cores. SGI Management Center provides automated, policy-driven power management. And to further reduce energy consumption, all components are serviced from the front of the rack to support hot aisle/cold aisle floor plans. SGI's new InfiniteData Cluster is part of a comprehensive suite of HPC solutions for Big Data analytics addressing two principle metrics - data analysis and time to value. If data relationships are sufficiently understood to allow parsing into chunks using Hadoop, and the need for results allows hours to days, InfiniteData Cluster is an ideal solution. If parsing warrants the use of a NoSQL database to provide organizational structure or if value can be gained from results measured in minutes, SGI DataRaptor with MarkLogic Database is optimal. And for business environments looking for hidden data relationships using graph analytics or wanting to perform analysis in real-time, SGI UV system is the industry's most powerful shared memory platform. Delivering intelligent management for active archives, LiveArc AE provides fast search, facilitates compliance, and helps achieve disaster recovery. As infrequently accessed data is moved to the InfiniteStorage Gateway, LiveArc AE automatically indexes metadata and file content, enabling a variety of valuable capabilities. Users can quickly search across the archive using free-text queries to locate needed files. Version history can be captured with audit trails. Write Once Read Many (WORM) functionality can be implemented such as restricting file deletion or changes. Data retention periods can be set. And remote replication of archived data can be automated based on policies, with inline encryption for security and file level de-duplication to reduce storage consumption.
Silicon Graphics International Corp. Presents at Wells Fargo 12th Technology, Media & Telecom Conference, Nov-13-2013 02:20 PM
Oct 31 13
Silicon Graphics International Corp. Presents at Wells Fargo 12th Technology, Media & Telecom Conference, Nov-13-2013 02:20 PM. Venue: The Waldorf Astoria Hotel, 301 Park Avenue, New York, NY 10022, United States. Speakers: John Swenson, VP, IR & Corp Treasurer.
Silicon Graphics International Corp. Reports Unaudited Consolidated Financial Results for the First Quarter Ended September 27, 2013; Provides Financial Guidance for the Fiscal Year Ending June 27, 2014
Oct 30 13
Silicon Graphics International Corp. reported unaudited consolidated financial results for the first quarter ended September 27, 2013. Total revenue for the first fiscal quarter was $148 million, which compares with $171 million in the previous quarter and $193 million in the first fiscal quarter of 2013. GAAP net loss for the first quarter was $6.823 million, or $0.20 per share, which compares with a net loss of $4 million, or $0.13 per share, in the prior quarter, and a net loss of $8.680 million, or $0.27 per share, in the first quarter of fiscal 2013. Non-GAAP net income for the quarter was $1.284 million, or $0.04 per diluted share, which compares with non-GAAP net income of $6 million, or $0.17 per diluted share, in the prior quarter and a non-GAAP net loss of $3.313 million, or $0.10 per share, in the year-ago period. Adjusted EBITDA in the quarter was approximately $5 million, which compares with $8 million in the prior quarter and $0 million in the same quarter a year ago. Loss from operations was $7.190 million against $6.993 million a year ago period. Loss before income taxes was $6.894 million against $8.255 million a year ago period. Non-GAAP income before income taxes was $1.824 million against $2.888 million a year ago period. Non-GAAP EBITDA was $4.572 million against $0.206 million a year ago period.
In addition, SGI's actual growth in revenue and profitability for the fiscal year ending June 27, 2014 could differ materially from expectations for a number of reasons, including, but not limited to, changes driven by new accounting, regulations, interpretations or guidance and other risks as detailed in SGI's filings with the Securities and Exchange Commission.