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This article focuses on enterprise storage infrastructure as a foundational enabler for AI production workloads, specifically addressing data management hurdles like fragmentation and governance. While the core technology discussed is traditional storage, its primary relevance here is strictly in supporting AI workflows, making it a relevant topic for the intersection of hardware infrastructure and artificial intelligence deployment.
Source coveringSiliconANGLE
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

What to expect at NetApp INSIGHT: Join theCUBE Sept. 30

SiliconANGLE4 min read

As artificial intelligence goes into production, unified storage could be the glue that keeps everything together. NetApp Inc., a leader in enterprise data storage, wants to lift the burden of AI on enterprise infrastructure. Data management has proven to be one of the biggest hurdles for AI adopters, so NetApp’s unified storage solutions aims to […] The post What to expect at NetApp INSIGHT: Join theCUBE Sept. 30 appeared first on SiliconANGLE.

What to expect at NetApp INSIGHT: Join theCUBE Sept. 30 As artificial intelligence goes into production, unified storage could be the glue that keeps everything together. NetApp Inc., a leader in enterprise data storage, wants to lift the burden of AI on enterprise infrastructure. Data management has proven to be one of the biggest hurdles for AI adopters, so NetApp’s unified storage solutions aims to lay the groundwork for smoother AI workflows. “AI is forcing enterprises to rethink infrastructure…

Excerpt shown under the publisher's RSS terms · 79 words · full text and figures are on the publisher's site

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