AI storage
Learn about artificial intelligence storage, the way it is impacted by machine learning and the effect AI services will have on NAS, big data, data privacy and scalable storage. Because AI applications require large volumes of data to train, test and validate their algorithms, these applications can provide stiff challenges for data center administrators.
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Your 33-Page Guide to Modern Data Management
Data availability and recovery are critical to business success and outages can create serious business problems. That’s why nearly 77% of organizations are using SaaS data management tools to point themselves towards a more sustainable future, according to Veeam. In this Cloud Data Management Report, explore how poor data management makes staying competitive virtually impossible and how cloud data management simplifies the way you protect your data.
AI storage News
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November 07, 2019
07
Nov'19
New API lets Azure Stack connect to Scality object storage
New Azure Blob API will enable Microsoft Azure Stack Hub and Edge hybrid and private cloud customers to use scale-out Scality Ring object storage on premises.
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November 01, 2019
01
Nov'19
SwiftStack 7 storage upgrade targets AI, machine learning use cases
SwiftStack's latest upgrade extends its ProxyFS file system to the edge and cloud namespace to file data namespace to cater to artificial intelligence, machine learning workloads.
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October 24, 2019
24
Oct'19
New NVMe IBM storage for Spectrum Scale cuts install time
IBM introduces new NVMe-based flash storage system bundled with Spectrum Scale, enables Spectrum Discover to access backup date, and updates pay-as-you-grow pricing.
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March 20, 2019
20
Mar'19
SwiftStack adds a disk object-based AI reference architecture
SwiftStack's reference architecture for AI and machine learning bundles Nvidia servers for compute and disk-based Cisco or Dell EMC servers to scale object storage.
AI storage Get Started
Bring yourself up to speed with our introductory content
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8 factors that make AI storage more efficient
AI workloads need storage optimized for performance, capacity and availability. Discover everything you'll want to consider when planning storage for AI applications. Continue Reading
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AI for storage management gets real
AI for storage is popping up everywhere, though much of what we're seeing is the automation of routine tasks. Discover what vendors are doing to use AI more creatively. Continue Reading
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Predictive storage analytics, AI deliver smarter storage
Predictive analytics, AI and machine learning are coming together to create more intelligent data storage. Find out how your organization could benefit. Continue Reading
Evaluate AI storage Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Evaluate your machine learning and AI data storage requirements
Learn how your business can use high-performance and long-term data storage to address data storage requirements for its AI and machine learning workloads. Continue Reading
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Leading storage for AI tools address workload capacity, performance
Today's AI storage platforms provide organizations stand-alone and prepackaged products designed to address the data storage and capacity needs of their AI workloads. Continue Reading
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Why application intelligence is the linchpin of modern data centers
AI-based application intelligence tools help IT cope with growing scale and complexity by automatically detecting workloads, analyzing requirements and making recommendations. Continue Reading
Manage AI storage
Learn to apply best practices and optimize your operations.
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Machine learning for data analytics can solve big data storage issues
Discover how AI and machine learning -- with support from major vendors and technologies like Lambda architecture, FPGAs and containers -- address big data analytics challenges. Continue Reading
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Machine learning for data storage optimizes data analysis
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How HPE InfoSight AI proactively spots, solves infrastructure issues
Find out how the cloud service uses AI, machine learning and predictive analytics to collect and analyze data from millions of sensors to address problems before they happen. Continue Reading