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April 30, 2008
David Kirk, Chief Scientist at NVIDIA, is on the offensive. It is a very charming offensive, and it seems his message is a very compelling one. The summary is "GPGPU is dead, GPU Computing is the future for affordable supercomputing". Kirk is currently on a world tour giving seminars wherever he can. His presentation is all about how NVIDIA have moved the goalposts in the game of using GPUs (graphics processing units) as components in computing systems. In particular, how NVIDIA graphics cards can provide supercomputer processing power at workstation prices.
Full story at IT-Director.com
While the Microsoft juggernaut has been touting the joys of its new Windows HPC Server 2008, the Linux HPC contingent has been somewhat less vocal of late. But now Red Hat has come up with its version of an integrated cluster solution.
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Even though the cost of servers still dominates the datacenter budget, storage is actually on a steeper growth curve. HPC storage, in particular, is being singled out as high-growth opportunity. Vendors are scrambling to keep up.
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Google datacenters most energy efficient; Cluster Resources to demo Moab Hybrid Cluster; Red Hat Linux releases HPC distro. John West recaps those stories and more in our weekly wrap-up.
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Sep 04 | | Disk drives are approximately 250 times denser today than a decade ago. This is good news for users who are creating, manipulating and storing more data than ever before. It gives them an opportunity to derive more value from their stored data and lowers the capital acquisition and operating expense associated with that data.
BlueArc's Titan architecture represents an evolutionary step in file servers by creating a hardware-based file system that can scale bandwidth, IOPS, and overall data capacity well beyond conventional software-based devices. With its ability to virtualize a massive storage pool of up to four usable petabytes of tiered storage, Titan can scale with growing data requirements, offering a competitive advantage for businesses, researchers, or other enterprises seeking to better manage data growth while still ensuring optimal performance.
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