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AI storage News
December 26, 2018
Hitachi Pentaho data integration presents Hitachi Content Platform as an object-based data lake to send cleansed data to multiple cloud targets.
December 12, 2018
IBM introduces new AI reference architecture that channel partners will build with Nvidia supercomputers, the IBM Spectrum Scale parallel file system and IBM flash storage.
November 28, 2018
For its AI product strategy, Dell EMC is pursuing the same approach it takes with other storage products. Namely, that it’s better to have multiples of similar storage gear than to leave a gap in ...
October 19, 2018
LAS VEGAS-NetApp expects about 5,000 customers and partners to gather here Monday as it lays out a roadmap for flash-enabled AI and cloud applications. NetApp Insight 2018 marks the fifth year the ...
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Hyper-converged infrastructure evolves to accommodate the increasing demands of resource-hungry AI workloads. AI, in turn, promises to improve management of HCI and non-HCI resources. Continue Reading
Don't ask if your next storage array or software will have predictive analytics. Ask what those analytics can do for your specific systems and applications. Continue Reading
Predictive analytics, AI and machine learning are coming together to create more intelligent data storage. Find out how your organization could benefit. Continue Reading
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Find out what matters when it comes to file system design and how to prevent file systems from becoming bottlenecks to achieving optimal performance in NVMe-based storage systems. Continue Reading
AI, NVMe over fabrics and the cloud were must-read data storage stories in 2018, as were Tintri's struggles and Dell EMC's product moves. See the news that mattered as the year closes. Continue Reading
The development of the nonvolatile memory express protocol is a huge step forward in allowing enterprises to maximize the benefits inherent to flash storage. NVMe puts storage closer to the CPU, reduces latency and increases the amount of parallel ... Continue Reading
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AI storage planning is similar to the storage planning you're used to: Consider capacity, IOPS and reliability requirements for source data and the application's database. Continue Reading