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Storage Considerations When Building Platforms for AI

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Storage Considerations When Building Platforms for AI

Wed 3rd March 2021 | 9.45am GMT

As organisations increase their use of Artificial Intelligence (AI) and Machine Learning (ML) they face many challenges associated with scalability and data availability.

As GPU-accelerated data science activities become more widespread, the efficient maintenance of ever-growing datasets becomes more critical, as does the automation of data ingest and archival.

This session will introduce the NetApp AI Control Plane and our suite of solutions to support AIOps that spans edge, core and cloud and which can improve the productivity of data scientists.


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