Lustre Scalability, Affordability, Manageability

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The unique architecture of the Lustre file system has been proven to scale easily to petabytes of data that are immediately accessible to thousands of clients. The inherent scalability of Lustre aggregates storage capacity across many servers. I/O bandwidth also scales as more storage servers are added, and can be dynamically adjusted as needs change and demands for more storage capacity and bandwidth grow.

Enterprise Grade Lustre in the Clouds

commercial lustre

With the release of Intel® Cloud Edition for Lustre software in collaboration with key cloud infrastructure providers like Amazon Web Services (AWS), commercial customers have an ideal opportunity to employ a production-ready version of Lustre—optimized for business HPDA—in a pay-as-you-go cloud environment.

10 Ways IBM Platform Computing Saves You Money

data center cloud

IBM Platform Computing products can save an organizations money by reducing a variety of direct costs associated with grid and cluster computing. Your organization can slow the rate of infrastructure growth and reduce the costs of management, support, personnel and training—while also avoiding hidden or unexpected costs.

Understanding Active Risk Management with High Performance Data

This webinar is focus on understanding active risk management with high performance data and grid management.

Big Data Analytics: Gain a Performance Edge with a Hybrid Solution

simon garland head

With a hybrid approach to big data storage, companies can combine the high performance and speed capabilities of in-memory while solving the storage issues by putting the vast historical data sets on disk. By bridging available technologies, companies can deliver on all counts – including cost.

In-Memory Database vs. In-Memory Data Grid

Nikita Ivanov, CTO of GridGain

In-memory computing is comprised of two main categories: In-Memory Databases and In-Memory Data Grids. Nikita Ivanov, CTO of GridGain delves into the differences between the two and when to apply each technology.

Long Live In Memory Computing

Nikita Ivanov, CTO of GridGain

By Nikita Ivanov, CEO of GridGain in Memory Computing. In the last 12 months we observed a growing trend that use cases for distributed caching are rapidly going away as customers are moving up stack… in droves. Let me elaborate by highlighting three points that when combined provide a clear reason behind this observation.

Big Data – Quality or Quantity?


In this special guest feature, Anchita Magan from [x]cube DATA writes that the element of quality has to be considered in quantifiable data. Significance of Big Data The entire cosmos has been turned into an aggregated ocean of Data – structured or unstructured, systematic or unsystematic, useful or useless. This zillion of roughly organized data […]

Sponsored Post: Big Data for Enterprise – Free Report: Technology, Strategy, Adoption, Outlook

Clipped from: www.datadrivenbiz.com (share this clip) To mark the launch of their Big Data for Enterprise conference (June 27-28, San Francisco), Data Driven Business has commissioned a FREE 5000 word report full of practical advice, recommendations and predictions from big data experts. The report includes insights on the current big data technology landscape – advice […]