storage system

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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: Jul 03, 2019
Deep learning opens up new worlds of possibility in artifi cial 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-fl ash storage infrastructure that is built specifi cally to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artificial intelligence within the Financial Services industry, 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
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: 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: Quest Software     Published Date: Jul 28, 2011
In this white paper Quest's data protection experts offer five tips for effective backup and recovery to help you avoid the challenges that might keep you from fully protecting your virtual assets and infrastructure.
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quest, storage virtualization, it management, systems management solutions, virtualization managemen, windows, database, application
    
Quest Software
Published By: Quocirca     Published Date: Jul 03, 2008
Small and medium sized organizations have similar issues to large companies when it comes to the processing and storage of information and data, yet often have little capability to attract, retain and maintain the skills for managing their data assets compared to large organizations.  Blade systems offer an effective way to address the specific challenges faced by smaller organizations in managing their IT assets, and allows then to gain greater value from them.
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storage, blade, blade systems, small business, smb, smbs, mid-sized business, quocirca
    
Quocirca
Published By: Red Hat     Published Date: Mar 16, 2015
This white paper examines the economics of deploying Red Hat's Storage Server. Based on GlusterFS, a distributed file system that Red Hat acquired as part of Gluster, Red Hat Storage Server is ushering in a new era of software-based storage (also known as software-defined storage by many suppliers) solutions. Such solutions leverage commodity x86-based hardware from server vendors and a distributed shared nothing architecture that allows businesses to build out a service-based storage infrastructure in an economically feasible manner.
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storage server, software-based storage solutions, it management
    
Red Hat
Published By: Red Hat     Published Date: Sep 08, 2017
Intuit needed a fast, reliable, and cost-effective storage solution for its TurboTax suite of tax preparation offerings. TurboTax is a Software-as-a-Service (SaaS) suite of offerings, so system responsiveness was a critical goal.
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Red Hat
Published By: Red Hat     Published Date: Dec 19, 2017
IT leaders are looking to deliver agile, scalable and cost-effective storage for ever-increasing amount of unstructured data. This research assesses the key attributes, vision and executional prowess of distributed file systems and object storage vendors.
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Red Hat
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
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it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data
    
Red Hat, Inc.
Published By: Riverbed     Published Date: Sep 05, 2014
Storing data in the cloud using a Whitewater™ cloud storage gateway from Riverbed Technology overcomes what is becoming a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. Whitewater eliminates concerns about data security, data transmission speeds over the Internet, and data availability, while providing great flexibility and a favorable return on investment. Moving data to the cloud replaces the high costs of tape and disk storage systems with a pay-as-you-go cloud storage tier. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.
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data storage, cloud, it departments, security, transmission speeds, storage, data management
    
Riverbed
Published By: Sanbolic     Published Date: Dec 03, 2007
A Windows-based Storage server can utilize its internal disk drives, or connect to an external storage array, which provides more flexibility for expansion and allows file services to be integrated into an existing SAN.
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windows, storage, san, nas, sanbolic, network attached storage, storage area networks, windows server
    
Sanbolic
Published By: Sanbolic     Published Date: Dec 03, 2007
Clustered volume manager enables administrators to centrally configure and assign storage assets in a SAN storage environment in Microsoft System Management Server 2003 and Microsoft Operations Manager 2005 environments.
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windows, storage, san, nas, sanbolic, network attached storage, storage area networks, windows server
    
Sanbolic
Published By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. It’s also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. What’s new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
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SAS
Published By: SDL     Published Date: Sep 20, 2019
Component Content Management: A New Paradigm in Intelligent Content Services While technology has changed the world, the way that companies manage information has inherently stayed the same. The advent of near-ubiquitous connectivity among applications and machines has resulted in a data deluge that will fundamentally alter the landscape of content management. From mobile devices to intelligent machines, the volume and sophistication of data have surpassed the ability of humans to manage it with outdated methods of collection, processing, storage, and analysis. The opportunity afforded by the advent of artificial intelligence (AI) has stimulated the market to search for a better way to capture, classify, and analyze this data in its journey to digital transformation (DX). The paradigm of document-based information management has proven to be a challenge in finding, reusing, protecting, and extracting value from data in real time. Legacy systems may struggle with fragmented information
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SDL
Published By: Seagate Technology     Published Date: Apr 14, 2015
You can have all the latest features of iOS 8 on your iPhone, but if you’re still using an iPhone 4s, you won’t be able to take advantage of most of them. This should serve as an appropriate metaphor for this audience because when it comes to data storage, many of today’s storage solutions have been around since the 1970s…as in the the world of mobile, today’s data storage needs are revealing just how limited those older solutions are. Even if a company has updated almost everything in its IT ecosystem, it takes only one unchanged layer to prevent them from realizing the benefits of the latest technology. With petabyte scale, reliability, performance, and efficiency the order of the day we are fast approaching that point with storage. There is without question a need to change in the current storage paradigm. In this webinar you will learn about current IT storage challenges and useful insights about next-generation storage solutions.
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storage solutions, mobile data storage, it ecosystem, petabyte scale, network architecture, network attached storage, storage management, data integration
    
Seagate Technology
Published By: Seagate Technology     Published Date: Apr 14, 2015
Download this case study to learn how Seagate/Xyratex partnered with HP to develop an innovative storage system solution with the scalable performance the Institute needed to continue its groundbreaking work.
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seagate, storage system, healthcare, network performance, network performance management, network attached storage, application performance management
    
Seagate Technology
Published By: Seagate Technology     Published Date: Apr 14, 2015
Finding a better place to store an ever-expanding volume of valuables is a near universal challenge—for individuals and their businesses. From physical holes in the ground to the ethereal cloud and beyond, the range of options for stashing stuff is immense. And, depending on what you’re storing and how easily you want others to find it, some options are better than others. Read this white paper to learn how a Network Attached Storage (NAS) system provides the customization, speed, ease-of-use, security and affordability needed to protect and share digital assets for many small business owners.
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cloud, security, network attached storage system, customization, affordability, network security, network attached storage, storage management
    
Seagate Technology
Published By: Seagate Technology     Published Date: May 15, 2015
Server virtualization, the cloud, and big data are all combining to force changes at the storage layer so that IT organizations can deliver improved strategic value to the organization.
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storage, cloud, server virtualization, it ecosystem, big data, network security, small business networks, best practices
    
Seagate Technology
Published By: SolidFire_NetApp     Published Date: May 10, 2016
When comparing the architecture for Ceph and SolidFire, it is clear that both are scale-out storage systems designed to use commodity hardware, and the strengths of each make them complementary solutions for datacenter design.
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data management, business practices, data center. data application, enterprise applications, business intelligence, solutions, application integration, best practices
    
SolidFire_NetApp
Published By: SolidFire_NetApp     Published Date: May 10, 2016
When comparing the architecture for Ceph and SolidFire, it is clear that both are scale-out storage systems designed to use commodity hardware, and the strengths of each make them complementary solutions for datacenter design.
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SolidFire_NetApp
Published By: Sponsored by HP and Intel®     Published Date: Nov 02, 2012
This report covers the challenges of first generation deduplication technology and the advantages of next-gen deduplication products. Next generation Dedupe 2.0 systems use a common deduplication algorithm across all storage systems.
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deduplication, dedupe 2.0, it resources, it infrastructure, it management, data management, data center
    
Sponsored by HP and Intel®
Published By: Sponsored by HP and Intel® Xeon® processors     Published Date: Dec 01, 2011
HP and Intel are building a multifaceted storage product portfolio with a common foundation that will enable the integration of server and storage into Converged Systems.
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storage management
    
Sponsored by HP and Intel® Xeon® processors
Published By: Sponsored by HP and Intel® Xeon® processors     Published Date: Feb 19, 2013
This Enterprise Strategy Group paper examines the specific demands facing any mid range storage system offering with a focus on HP 3PAR StoreServ 7000’s ability to deliver.
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intel, comtemporary, meaning, midrange storage, hp 3par, it management, data management, data center
    
Sponsored by HP and Intel® Xeon® processors
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