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Published By: Pure Storage     Published Date: Apr 15, 2019
This year, businesses will increasingly turn to AI to power their business transformation. Machine learning and deep learning workloads are quickly becoming a mission-critical workload in the enterprise data center. As an IT leader, are you ready for the impending wave of AI applications that will demand new approaches to computing, storage and networking? Do you have the right strategy for scaling AI workload in your data center? We’ll introduce you to the IT visionaries who have made it happen. In this webinar we’ll explore how one IT leader accelerated his company’s success with an AI infrastructure strategy, sharing their best practices and insights. By watching this webinar, you'll learn: - Why it’s now critical for enterprise IT to have an AI infrastructure strategy that supports the business - Explore one IT leader’s experience developing and implementing a best-of-breed platform for scaling AI workload in the data center - Gain insights that can drive your AI infrastructur
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
This document describes the technical reasons for and benefits of an end-to-end training system and why the Pure Storage® FlashBlade™ product is an essential platform. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and Pure FlashBlade, a scale out, high performance, dynamic data hub for the entire AI data pipeline.
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Pure Storage, a pioneer in block-based flash arrays, has developed a technology called FlashBlade, designed specifically for file and object storage environments. With FlashBlade, IT teams now have a simple-to-manage shared storage solution that delivers the performance and capacity needed to bring Spark deployments on premise. To help gain a deeper understanding of the storage challenges related to Spark and how FlashBlade addresses them, Brian Gold of Pure Storage sat down with veteran technology journalist Al Perlman of TechTarget for a far-reaching discussion on Spark trends and opportunities.
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly, and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Splunk® has become a mission critical application. Thousands of organizations are gaining insight from their machine data and transaction logs using Splunk, and many more are planning to deploy Splunk. No matter what stage you’re in, having guidelines to follow can help improve the Splunk experience. Since a mission critical data application deserves a mission critical data platform, Pure Storage® built the solution on the Pure FlashStack™ converged infrastructure solution. FlashStack is a joint offering from Cisco® and Pure Storage. This paper is intended to provide a framework for designing and sizing a high-performance, scalable, and resilient Splunk platform. Pure Storage is a leading all-flash array provider focused on reducing storage complexity while improving Splunk performance, resiliency, and efficiency.
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Pure Storage
Published By: Pure Storage     Published Date: Feb 04, 2019
Download the new report from Pure Storage to find out how to tap into the world of big data and emerging AI technology.
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pure storage, data storage, ai technology, artificial intelligence, big data
    
Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
"Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Dive into machine learning concepts in general, as well as deep learning in particular Understand how deep networks evolved from neural network fundamentals Explore the major deep network architectures, including Convolutional and Recurrent Learn how to map specific deep networks to the right problem Walk through the fundamentals of tuning general neural networks and specific deep network architectures"
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Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.
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Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
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Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights for the massive amounts of data. Many organization are now using AI for leading-edge research or as a competitive advantage. This Datanami white paper not only covers the societal impacts of deep learning, but it also discusses why traditional storage can't meet deep learning needs and how having the right data hub can help deliver data throughput for AI.
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Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
Data is the new currency. Is your organization capitalizing on the full potential of data analytics? In this big data primer, you will learn about the 3 key challenges facing organizations today: managing overwhelming amounts of data, leveraging new complex tools/technologies, and developing the necessary skills and infrastructure. And since storage is where your organization's data lives, it’s a pivotal part of the infrastructure jigsaw puzzle. Thus with a “tuned for everything” storage solution that is purpose-built for modern analytics, you can confidently harness the power of your data to drive your enterprise forward.
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Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
With the growth of unstructured data and the challenges of modern workloads such as Apache Spark™, IT teams have seen a clear need during the past few years for a new type of all-flash storage solution, one that has been designed specifically for users requiring high levels of performance in file- and object-based environments. With FlashBlade™, it addresses performance challenges in Spark environments by delivering the consistent performance of all-flash storage with no caching or tiering, as well as fast metadata operations and instant metadata queries.
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Pure Storage
Published By: Veritas / PureStorage     Published Date: Nov 16, 2018
Step-by-step guide to configure Pure Storage FlashArray with Veritas CloudPoint.
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Veritas / PureStorage
Published By: Veritas & PureStorage     Published Date: Nov 14, 2018
Step-by-step guide to configure Pure Storage FlashArray with Veritas CloudPoint.
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Veritas & PureStorage
Published By: Pure Storage     Published Date: Oct 09, 2018
Man AHL is a pioneer in the field of systematic quantitative investing. Its entire business is based on creating and executing computer models to make investment decisions. The firm has adopted the Pure FlashBlade™ solution from Pure Storage to deliver the massive storage throughput and scalability required to meet its most demanding simulation applications.
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Pure Storage
Published By: Pure Storage     Published Date: Oct 09, 2018
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude
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Pure Storage
Published By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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Pure Storage
Published By: Pure Storage     Published Date: Oct 09, 2018
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits.
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Pure Storage
Published By: Pure Storage     Published Date: Oct 09, 2018
Bewerkstelligen en Toch de Kosten en Complexiteit in de Hand
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Pure Storage
Published By: Pure Storage     Published Date: Oct 09, 2018
Digital technology is so intrinsic to our personal lives that we barely think about the fitness trackers and smartphones that are as much a part of us as the clothing we wear. For organizations, the shift to digital is more disruptive and the stakes far higher. Digital transformation has been high on the executive agenda for a few years and, for many, harnessing data has become a significant force for value and revenue creation. Agility has emerged as an organizational superpower as businesses grapple with change and uncertainty in their own customer bases and in the global political and economic landscape. IT has been thrust into the spotlight as the unwitting hero of the story – tasked with delivering on the digital vision, implementing all manner of applications and building firm infrastructure foundations to support the latest digital initiatives. In an increasingly on-demand world, it is this final point that often gets overlooked in the rush for the next shiny new technologies. E
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Pure Storage
Published By: Pure Storage     Published Date: Oct 09, 2018
Merci pour tous les services rendus, chères reprises après sinistre. Sans vous à nos côtés toutes ces années, rien n'aurait été pareil. Oubliez la logique de sinistre/reprise des années 70. Adoptez un modèle de continuité opérationnelle adapté au monde d'aujourd'hui, en constante activité, un modèle :
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Pure Storage
Published By: Pure Storage     Published Date: Oct 09, 2018
Alors que le stockage flash se généralise dans le monde de l'informatique, les entreprises commencent à mieux comprendre non seulement ses atouts en termes de performances, mais également les avantages économiques secondaires de son déploiement à grande échelle. La combinaison des avantages des baies 100 % flash - latence réduite, débit plus élevé et bande passante plus large, densités de stockage plus élevées, consommation énergétique et encombrement considérablement réduits, meilleure exploitation des UC, réduction du nombre de serveurs nécessaires et, en conséquence, coûts de licences amoindris et fiabilité matérielle accrue – en a fait une option économiquement attrayante comparée aux architectures de stockage d'ancienne génération, mises au point à l’origine pour les disques durs (HDD). Alors que les baies flash hybrides (HFA) se développent à un rythme exponentiel et que le taux d’utilisation de baies 100 % HDD chute vertigineusement, les AFA enregistrent une progression parmi le
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Pure Storage
Published By: Pure Storage     Published Date: Oct 09, 2018
Flash-Storage dringt immer mehr in die Mainstream-Datenverarbeitung vor. Dadurch verstehen die Unternehmen zunehmend nicht nur die Performance-Vorteile, sondern auch die sekundären wirtschaftlichen Vorteile, die mit einer Flash-Implementierung im großen Maßstab verbunden sind. Dank der Kombination all dieser Vorteile – geringere Latenzen, höherer Durchsatz und größere Bandbreite, höhere Storage-Dichten, deutlich geringerer Energie- und Platzbedarf, höhere CPU-Auslastung, geringerer Bedarf an Servern und damit verbunden geringere Softwarelizenzgebühren, geringere Administrationskosten und eine größere Zuverlässigkeit auf Einheitenebene – erweist sich die Verwendung von AFAs als eine wirtschaftlich überzeugende Alternative zu den herkömmlichen Storage -Architekturen, die ursprünglich für Festplattenlaufwerke (HDDs) konzipiert waren. Während die Wachstumsraten für Hybrid-Flash-Arrays (HFAs) und für ausschließlich in Verbindung mit HDDs verwendete Arrays steil nach unten gehen, gehören die
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Pure Storage
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