With Intel Cloud Edition for Lustre software, users can easily add, remove, or reconfigure AWS resources to match their workloads and budgets for optimal return on investment. In addition, new applications are being designed and deployed exclusively onto the AWS infrastructure for unmatched total cost of ownership (TCO).
insideAI News Guide to Retail
Few industries have greater access to data around consumers, products, and channels than the retail industry. Data coupled with insights are at the heart of what drives this business. It’s a logical consequence then that retail is the vertical market that adopted big data and technologies like Hadoop earlier than many other industries. Retail started with diverse transactional data but is now much more sophisticated in the way technology is being applied toward gaining competitive advantage. Learn more by downloading this guide.
insideAI News Guide to Scientific Research
This technology guide is geared toward scientific researchers working at universities and other research institutions (e.g. NASA, JPL, NIH, etc.) who may benefit from learning more about how big data is meaningfully transformative in the way it can be applied to the data collection and analysis part of their projects. Further, we’ll illustrate how Dell big data technology solutions powered by Intel are actively helping scientists who are focused on their data, on their models and on their research results. Learn more by downloading this guide.
insideAI News Guide to Big Data for Manufacturing
Manufacturing concerns consistently have sought ways to reduce waste and variability in their production processes to dramatically improve product quality and yield (e.g. the amount of output per unit of input). Further, these companies need a granular approach toward recognizing and correcting manufacturing process flaws. Big data technology provides just such an approach and many hightier manufacturers possess a significant degree of interest and motivation in adopting the big data technology stack.
insideAI News Guide to Big Data for Finance
Introduction to Big Data for Finance According to the 2014 IDG Enterprise Big Data research report, companies are intensifying their efforts to derive value through big data initiatives with nearly half (49%) of respondents already implementing big data projects or in the process of doing so in the future. Further, organizations are seeing exponential growth in the amount of data managed with an expected […]
insideAI News Guide to Big Data Business Solutions in the Cloud
In this Guide, we take a look at what Lustre on infrastructure AWS delivers for a broad community of business and commercial organizations
struggling with the challenge of big data and demanding storage growth. Learn more by downloading this Guide.
Intel Scalable System Framework Facilitates Deep Learning Performance
In this special guest feature, Rob Farber from TechEnablement writes that the Intel Scalable Systems Framework is pushing the boundaries of Machine Learning performance. “machine learning and other data-intensive HPC workloads cannot scale unless the storage filesystem can scale to meet the increased demands for data.”
Adding Security and More to Intel® Enterprise Edition for Lustre* Software version 3.0
Intel Enterprise Edition for Lustre* Software has taken a leap toward greater enterprise capabilities and improved features for HPC with release of version 3.0. This latest version includes new security enhancements, dynamic LNET configuration support, ZFS snapshots, and other features asked for by the HPC community inside and outside the enterprise. Additionally, it adds the Intel Omni-Path Architecture drivers.
Efficiency: Big Data Meets HPC in Financial Services
Converging High Performance Computing (HPC) and Lustre* parallel file systems with Hadoop’s MapReduce for Big Data analytics can eliminate the need for Hadoop’s infrastructure and speeding up the entire analysis. Convergence is a solution of interest for companies with HPC already in their infrastructure, such as the financial services Industry and other industries adopting high performance data analytics.
SGI Deploys over 200 Terabytes in Total Systems Running SAP HANA
Today SGI announced that global deployments of the SGI UV 300H single-node system provide in total over 200 Terabytes of in-memory computing capacity to organizations running the SAP HANA platform. Introduced just one year ago, more than 50 SGI UV 300H systems have been installed in organizations to run a variety of applications on SAP HANA, including the SAP ERP, SAP Supply Chain Management (SCM), SAP Bank Analyzer, and SAP Business Warehouse applications, as well as advanced analytics.