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HPC Moves to the Cloud – What You Need to Know

While some domains that rely on computing systems are satisfied with the performance gains that are continuously delivered from processor manufacturers, others require performance that can only be attained through massive parallelism. High-performance computing is for those that need the highest performance in order to solve many of today’s most difficult scientific challenges.

Accelerate MySQL for Demanding OLAP and OLTP Use Cases with Apache Ignite

MySQL® is a widely used, open source relational database management system (RDBMS) which is an excellent solution for many applications, including web-scale applications. To learn more about MySQL and open source database management systems, download this white paper.

How to Leverage HPC in the Enterprise

Despite the proven benefits of HPC in the enterprise, many businesses still struggle to overcome the complexity of deploying HPC solutions in their enterprise. To read several successful case studies and learn more about how to leverage HPC in your enterprise, download this white paper.

Accelerating the speed and accessibility of artificial intelligence technologies

As AI technologies become even faster and more accessible, the computing community will be positioned to help organizations achieve the desired levels of efficiency that are critically needed in order to resolve the world’s most complex problems, and increase safety, productivity, and prosperity. Learn more about AI Technologies … download this white paper.

Accelerate MySQL for Demanding OLAP and OLTP Use Cases with Apache Ignite

MySQL is a widely used, open source relational database management system (RDBMS) which is an excellent solution for many applications, including web-scale applications. To learn more about accelerating MySQL for demanding OLAP and OLTP use cases with Apache Ignite download this guide.

insideBIGDATA Guide to Use of Big Data on an Industrial Scale

In this document, our focus is on “industrializing” big data infrastructure—bringing operational maturity to the Hadoop data ecosystem, making it easier and cost-effective to deploy at enterprise scale, and moving companies from the proof of concept stage into production-ready deployments. Download this Guide to Big Data on an Industrial Scale to learn more.

insideBIGDATA Guide to Artificial Intelligence & Deep Learning

In this guide we explain the difference between AI, machine learning and deep learning, and includes highlights of the insideBIGDATA audience survey. To learn more about AI and deep learning download this guide.

insideHPC Special Report: A Trusted Approach for High Performance Networking

The high performance networking interconnect landscape is in transition. InfiniBand and Intel Omni-Path will compete for the performance crown, while Ethernet will remain the ubiquitous standard for commercially oriented systems.

Nine Critical Features for Object Stores

Object stores represent a simpler, more scalable solution and one that is easily accessed over standard web-based protocols. To learn more about Object Stores download this guide.

Paradigm and DDN: Achieving the Ultimate Efficiency for Seismic Data Analysis

For this report, DDN performed a number of experimental benchmarks to attain optimal IO rates for Paradigm Echos application workloads. It present results from IO intensive Echos micro-benchmarks to illustrate the DDN GRIDScaler performance benefits and provide some detail to aid optimal job packing in 40G Ethernet clusters. To find out the results download this guide.