HPC in the data center

June 12, 2019

GPU, for example, can deliver exceptional processing power inside some HPE ProLiant servers and clusters.  GPU compute touches many applications, from engineering analysis and seismic processing to medical imaging and ray trace rendering. HPC capable GPUs broadly fall into two camps  those that are optimized for single precision operations and those that are optimized for both single and double precision operations. Single precision operations are used in applications where high performance takes precedence over extreme accuracy.  Examples include video enhancement, signal processing, video transcoding, deep neural networks (DNN) and digital rendering applications. Double precision operations are used in applications where numerical precision is critical. Examples include Computational Fluid Dynamics (CFD), Structural Mechanics, Reservoir Simulation and Aerodynamics applications.

Spotlight

Quest America Inc.

Quest America is a global technology-consulting firm providing innovative solutions through Strategy, Consulting and Outsourcing to its clients since 1995. Headquartered in San Jose, CA and with offices in Germany and India, QuestAm offers a complete range of strategy and consulting services with emphasis on packaged solution implementation for products from Oracle and SAP, custom application development using Java, .NET, RIA and Web 2.0 frameworks. Our global delivery center in Chennai, India provides outsourcing services. Additionally, our Big Data solutions group provides training and consulting services leveraging our expertise with products from Oracle, SAP and Apache Hadoop.

OTHER WHITEPAPERS
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Data Analytics Integrity Challenges to Implementation of the Automated Data Collection Processes

whitePaper | March 12, 2020

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of the everchanging Data Collection requirements, it did not have the scope to address technicalities of the RDC processes along with the specific Data Collection tools and methods. The purpose of this paper is to fill the void by looking into implementation of the automated data collection processes.

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The Path to Self-Service Analytics on the Data Lake: Asset

whitePaper | May 2, 2022

Download this white paper to get a step-by-step roadmap for adopting Dremio and migrating workloads while maintaining coexistence and interoperability with existing systems and technologies.

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Fault-Tolerant Components on AWS

whitePaper | November 15, 2019

Fault-tolerance is the ability for a system to remain in operation even if some of the components used to build the system fail. Even with very conservative assumptions, a busy e-commerce site may lose thousands of dollars for every minute it is unavailable. This is just one reason why businesses and organizations strive to develop software systems that can survive faults. Amazon Web Services (AWS) provides a platform that is ideally suited for building fault-tolerant software systems. The AWS platform enables you to build fault-tolerant systems that operate with a minimal amount of human interaction and up-front financial investment.

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Replanteamiento del acceso a las aplicaciones gestión de una fuerza laboral moderna

whitePaper | February 26, 2020

El cambio de paradigma que se está extendiendo por el ámbito tecnológico y empresarial es cada día más evidente. La transición a cloud computing está llegando a su punto de inflexión. Las fusiones y adquisiciones han proliferado. Además, con un número cada vez mayor de usuarios finales que operan fuera del entorno empresarial, los departamentos de TI deben prestar servicio a un ecosistema de usuarios cada vez más diverso, distribuido y exigente

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Introducing Apache Druid

whitePaper | January 31, 2020

Many companies have invested heavily in specialized enterprise data warehouses (EDW) and Extract, Transform and Load (ETL) technologies to analyze their operational data. But these technologies were never designed to be truly real-time.They were originally built for batch, and that original design limits how real-timeEDWs and ETL can become. They were also designed to support a focused group ofanalysts, not a larger group of employees spanning operational functions, or even partner and end customers.

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THE COMPUTEINFRASTRUCTURE NEEDED FOR PREDICTIVE ANALYTICS

whitePaper | November 26, 2019

Modernized organizations are leveraging the transformative benefits of predictive analytics to propel their business forward. Predictive analytics arm you with knowledge and insights that can make the difference between profits and losses. They use modeling, machine learning, and artificial intelligence to analyze current data and make predictions about the future. Every industry can benefit from predictive analytics. Those who ignore the potential here are squandering a huge opportunity to grow or create better experiences. The recent dramatic progress in AI-based predictive analytics and machine learning provides organizations with the power to unlock tremendous value from previously hard to decipher data. Through the power of AI-enabled infrastructure, you can harness the predictive analytics/machine learning wave and gain business advantages that will not only keep you in the game, but at the leading edge. Automated server capabilities and the right server for the job will get you where you need to go. This eBook focuses in on how server automation, along with the right servers for the workload, empowers companies to make great strides in the world of machine learning and predictive analytics.

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Spotlight

Quest America Inc.

Quest America is a global technology-consulting firm providing innovative solutions through Strategy, Consulting and Outsourcing to its clients since 1995. Headquartered in San Jose, CA and with offices in Germany and India, QuestAm offers a complete range of strategy and consulting services with emphasis on packaged solution implementation for products from Oracle and SAP, custom application development using Java, .NET, RIA and Web 2.0 frameworks. Our global delivery center in Chennai, India provides outsourcing services. Additionally, our Big Data solutions group provides training and consulting services leveraging our expertise with products from Oracle, SAP and Apache Hadoop.

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