Avago Shows Off DataON’s CiB-9224

A 2 million IOPS file server…

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Last week at IDF we got to stop by the Avago booth and check out their new file server platform the DataON CiB-9224. Best described as a cluster-in-box the CiB-9224 uses two of LSI’s 9300 series 12 Gb/s SAS+SATA host bus adapters (HBAs) hooked up to as many as 24 SSDs and a pair of Intel’s new Grantley server processors to offer a no single point of failure system that’s capable of two million read IOPS and one point one million write IOPS along with 11 Gb/s of read throughput and 6.4 Gb/s of write. According to Avago, the new owner of LSI and PLX, it actually only takes 16 SSDs to reach this level of performance which leaves the other eight slots in the chassis open for slower redundant hard drive based storage if that’s your thing.

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Using Avago’s DataBolt technology you can hook up 6 Gb/s SATA hard drives and actually see higher than 6 Gb/s throughput when connected to their 12 Gb/s interconnect. Which is useful is you’re looking for better performance but don’t want to have to replace all your hard drive when you buy a new file server. Plus as your older 6 Gb/s drive fail you can replace them with faster 12 Gb/s drives on an as-needed basis and reap all the benefits of 12 Gb/s performance.

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As a mostly hardware solution the CiB-9224 is OS agnostic requiring only a platform specific driver for the host bus adapters. This is good since it’s a product targeted at multi-branch or medium-sized businesses who need reliably and performance but have limited space and budgets. It also comes in a svelte 2U form factor.

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All in all we have a neat little file server offering from DataON powered by Avago’s latest 12 Gb/s SAS HBAs and a stack of SSDs that’s ready to fire data onto your network faster than ever before.S|A

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Thomas Ryan is a freelance technology writer and photographer from Seattle, living in Austin. You can also find his work on SemiAccurate and PCWorld. He has a BA in Geography from the University of Washington with a minor in Urban Design and Planning and specializes in geospatial data science. If you have a hardware performance question or an interesting data set Thomas has you covered.