Learn new ways to harness big data and accelerate analytics with software-defined storage and cloud

Andrew Jolie | 2014-09-10 14:58:37.0 | Tags:  hadoop chicargo houston software sds boston bigdata event analytics platform cloud storage defined computing roadshow | 0 Comments

Big data, analytics, software defined storage and cloud computing are converging in new ways that can help your business reach its goals. That’s why IBM is offering this complimentary, informational, half-day seminar in October where you can learn more about these trends and best practices in a city near you. Who (...)


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Introducing Elastic Storage 4.1: Secure, Flash-Accelerated, Software Defined Storage

James Gutowski | 2014-07-10 12:57:08.0 | Tags:  flash elasticstorage storage platformcomputing gpfs cloud tape | 0 Comments

Part of IBM’s Software Defined Storage solutions, code named Elastic Storage Version 4.1, is now released ‒ delivering flash accelerated, software defined storage for cloud, big data & analytics, and technical computing ‒ now with enhanced security, performance and usability. Elastic Storage is built on IBM General Parallel File System (...)


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Making Hybrid Cloud Work for You

Louise Westoby | 2014-07-08 16:33:44.0 | Tags:  matters platform workload elastic storage infrastructure lsf hybrid computing softlayer service cloud management symphony | 0 Comments

If several large projects require the same technical computing resources for a two week period, what should you do? Or what happens if you are experiencing spikes in infrastructure demand at a certain period during the day--do you purchase additional infrastructure to accommodate that increase in demand even though those (...)


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Tapping the cloud with IBM Platform Computing

GORDON SISSONS | 2014-03-09 10:57:26.0 | Tags:  cloud computing service platform iaas hybrid | 0 Comments

A functional demonstration Many organizations are wrestling with the economics of cloud computing. This is especially true in high-performance computing (HPC) and analytics where applications often demand clustered, scaled-out infrastructure. These types of workloads are often “spiky” or unpredictable and the costs associated with infrastructure can be substantial. As a few examples: A (...)


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