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Press Release
SGI Introduces Next-Generation ICE X Scale-Out Bladed HPC Cluster The World's Fastest Supercomputer Just Got Faster Fremont, Calif. — November 14, 2011 — SGI (NASDAQ: SGI), the trusted leader in technical computing, today announced the introduction of SGI® ICE X, the next-generation of the award-winning ICE scale-out high performance computing (HPC) blade server product line. With this product introduction SGI expands its ability to deploy multi-petascale supercomputer solutions on a platform that can be upgraded without any production downtime, potentially saving millions of core hours in the process. SGI ICE X easily meets the needs of the world's most demanding supercomputing deployments. Its design is optimized for technical computing with integrated InfiniBand® switch blades for outstanding throughput, performance and reliability. The system's innovative blade design makes it easy and affordable to move to petascale computing and beyond with its integrated single- or dual-plane FDR InfiniBand backplane interconnect. SGI ICE X supports hypercube, enhanced hypercube, all-to-all and fat-tree topologies, enabling each deployment to meet the customer's specific needs. The system's open x86 architecture simplifies deployment of commercial, open source or custom applications without any changes on completely unmodified SUSE® Linux Enterprise Server or Red Hat® Enterprise Linux operating systems. The ICE platform is also capable of economically scaling from a half-rack to hundreds of racks. "ICE X represents the next generation of our market-proven high performance computing platform," said Praveen K. Mandal, senior vice president of engineering at SGI. "This is our first fully choreographed engineering cycle for the new SGI with Intel, bringing Intel's next generation Romley architecture to market. We expect to extend our share in the large-scale cluster market significantly with the new SGI ICE X, as it is designed for scale, speed and density." SGI ICE X contains significant enhancements over prior ICE generations, including new cooling options at the node level and a higher density form factor through unique blade design, supporting up to 2,304 processor cores per rack. The ICE X system also supports independently scalable power at the enclosure level, along with Fourteen Data Rate (FDR) 56Gb/second InfiniBand support, including options for single-port, dual-port, and dual single-port Mellanox® ConnectX®-3 InfiniBand HCA mezzanine cards. "Norwegian University of Science and Technology (NTNU) and the Norwegian Meteorological Institute (met.no) have worked together for over 20 years on high performance computing systems for research and numerical weather prediction," said Roar Skalin, Director of Information Technology at the met.no. "With the newest SGI ICE X, the compute resources available for our numerical weather prediction will increase by a factor of 20 without increasing space in the data center." "HPC customers require constant innovation and cutting edge technology to perform increasingly complex and data intensive computations," said Rajeeb Hazra, general manager of Technical Computing at Intel. "SGI's ICE X leverages the performance of the Intel® Xeon® processor E5 family together with engineering innovations like the new blade design to deliver on the needs of leading customers. Intel has worked closely together with SGI to enable a product that delivers on energy efficient performance and density, and we are excited to see this product in the market." Performance Leadership "We are pleased to collaborate with SGI on delivering a leading performance solution that addresses the ever-growing compute needs of their customers," said Eyal Waldman, chairman, president and CEO of Mellanox Technologies. "Leveraging the I/O performance, scalability and efficiency benefits of Mellanox's FDR 56Gb/s InfiniBand solutions, SGI ICE X provides researchers and scientists with unprecedented computation capabilities for their most demanding workloads." Fully Integrated Environment One Unified Blade Enclosure Model
Two Compute Blade Models
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