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Terrascale Intros Fastest Clustered Storage Solution


Terrascale Technologies will demonstrate its new Storage Brick hardware platform -- for the first time ever -- at Supercomputing 2005.

Storage Bricks are data servers loaded with Terrascale's TerraGrid software. This hardware/software solution forms virtual network disk drives that offer a single data repository (known as a "global name space file system") up to 18 Exabytes (18 million terabytes) in size with input/output (I/O) rates that exceed 10GBps. This performance makes TerraGrid-enabled Storage Bricks the fastest clustered storage solution available.

Previously, system architects had to choose between: (A) direct attached storage resources (DAS or SAN) to individual computer systems -- costly because a single copy of data could not be accessed by more than one system;or (B) sharing data via legacy network attached storage (NAS) protocols (for example, NFS) -- reduces costs by increasing access but limits overall performance. By providing previously unattainable levels of shared data throughput, TerraGrid-enabled Storage Bricks eliminate the need to choose.

"Bundled with our ground-breaking TerraGrid 2.0 software, Storage Bricks epitomize the second generation of storage networking solutions," said Gautham Sastri, president and CEO of Terrascale Technologies. "Enterprises now have increasingly faster networks and extremely powerful computer systems that demand data delivery rates that exceed the capabilities of first generation storage networking solutions. TerraGrid-enabled Storage Bricks help ensure that these computing environments are optimized by moving data at rates that are literally a measured order of magnitude above that of first generation products, and are ideally suited to a variety of data-intensive applications. Our customers have found that they can easily deploy Storage Bricks and eliminate legacy solutions, like NFS servers and other complex parallel file system products, to greatly improve productivity and accelerate ROI."

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Exploring the Potential of Heterogeneous Computing

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