Explore   >   IBM PartnerWorld
 |  |  |  |  | 
Translation
中文(简体)中文(漢字)EnglishFrançaisItaliano日本語한국어PortuguêsРусскийEspañol
by Transposh - translation plugin for wordpress

A translation widget is provided for your convenience to facilitate translation of the English language version of this blog into several languages. If you choose to utilize this automated translation facility, please understand there may be deviations between the automated translation and the original English version. IBM is not responsible for any such automated translation deviations and offers the translated version "AS IS" without warranties of any kind.

ANALYTICS Generating Demand Infrastructure Worldwide

IBM Spectrum Computing: Solving the BIG problems

Solving the BIG problems

Dramatically transform business with IBM Spectrum Computing

Whether your client is a designer, an energy company, a manufacturer, a researcher or an investment bank, high-performance computing (HPC) has been a fundamental tool for decades. Clustered computing is also a basic archetype for e-commerce, retail and logistics companies that are rapidly investing in big data analytics with Hadoop and streaming analytics with Spark. Alongside these platforms, there is an opportunity for large storage, data management, cloud and workload scheduling.

IBM Spectrum Scale is the leader for clustered computing due to its stability, performance and ability to support file, object and HDFS workloads. Recent enhancements enable transparent cloud tiering to IBM Cloud Object Storage or other Swift/S3 platforms. This unique feature lowers TCO for archives without sacrificing data availability.

Organizations that depend on timely results from HPC or Big Data Analytics can transform their operations using IBM Spectrum Computing. Whether they need improved pipeline and workload management, or faster big data insights, we have the solution. Our case studies demonstrate dramatic improvements in manageability and time to insight in numerous industries. Watch the latest video from Red Bull Racing on the many ways they use IBM Spectrum Solutions.

Our clients are the best advocates for these technologies. We invite you to meet some of them and the technical experts behind the solutions at SuperComputing (SC16) in Salt Lake City, Utah, November 13–18. We kick off the week on Sunday with IBM Spectrum Scale User Group meeting—and the experience doesn’t stop until Friday morning with SC16 panel discussions. A highlight of the week will be the IBM Spectrum LSF User Group lunch on Wednesday.

This is a chance to join forces with IBM to get your clients excited about the IBM solutions for high-performance computing (HPC), Big Data Analytics and Cognitive. You and your clients are invited to:

  • Check out IBM booth #1018 to view live and virtual demonstrations of IBM’s key HPC solutions, including IBM Spectrum Computing, IBM Spectrum Storage, Tape, IBM FlashSystem, POWER and OpenPOWER Foundation
  • Attend the 20 ten-minute presentations delivered by IBM and IBM Business Partners, showcasing recent client successes. Also at booth #1018.

 
The best part about any conference is the opportunity to network. I encourage you to setup meetings at SC16 with your clients and IBM experts, and I look forward to seeing you in Salt Lake City! You can also let me know what you think by using the comments feature below.

Doug O’Flaherty,
Manager, IBM Spectrum Solutions Marketing

 

 

For more information:

-read the article: IBM named A Leader in Gartner’s Magic Quadrant for Distributed File Systems and Object Storage

-watch the Accelerate High Performance Applications with IBM Spectrum Computing video

-check out the IBM Spectrum Computing public site

Douglas O'Flaherty leads the IBM Spectrum Solutions marketing teams, which includes the IBM Spectrum Storage and IBM Spectrum Computing portfolios. His background includes both large companies and startups and he has been with IBM since 2015. Mr. O’Flaherty is a long-time evangelist for HPC and Big Data in commercial applications.

Related Articles

POST YOUR COMMENTS

Your email address will not be published. Required fields are marked *

Name *

Email *

Website