IBM Platform Computing

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Why Elastic Storage is a good choice for OpenStack Object Store environments

john langlois | 2014-07-28 10:22:16.0 | Tags:  object gpfs platformcomputing hadoop sds storage bigdata data software_defined sde elastic_storage openstack objectstorage | 0 Comments

At this very moment, 80% of the data created will be unstructured. Much of the unstructured data is quite valuable. For example, sensors are collecting and generating continuous data streams from scientific experiments, wind turbines, and nuclear reactors. Marketers listen to sentiment data from social networks to quickly respond to your (...)


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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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Ten ways that IBM Platform Computing can help you save money

GORDON SISSONS | 2014-03-05 09:53:07.0 | Tags:  hadoop clusters sde platformcomputing workload infrastructurematters resource harvesting | 0 Comments

Let’s face it - IT infrastructure is expensive. This is especially true of the type of infrastructure used for clustered HPC and analytic applications. For people not familiar with distributed workload management, claims around cost-savings can sound fanciful, so in short this post I wanted to take the time to clearly (...)


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Can you address spikes in infrastructure demand quickly and cost-effectively?

Louise Westoby | 2014-02-25 11:23:20.0 | Tags:  platformsymphony analytics grid cloud technicalcomputing ibm clusters platformlsf softlayer platformcomputing | 0 Comments

Your organization might have deployed a cluster or grid on site. But can these resources always meet your peak demands? For example, what happens when several large projects move into the same simulation and design phase at the same time? Simply adding hardware to address peak workload requirements, especially if they (...)


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