Why scale-out file systems are beneficial for AI workloads

Delivering Data Center Agility for the AI Enterprise

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The massive volumes generated by, and concurrent file access demanded of, analytics-driven workloads such as AI, machine learning, and deep learning are shifting storage operations as enterprises know it.

Deconstructing isolated storage and data silos is critical if the infrastructure is to provide the necessary agility—and NAS may no longer be sufficient to handle these large volumes.

In this webcast, Evaluator Group Senior Strategist Randy Kearns and VP of Marketing at WekaIO Barbara Murphy discuss how to evolve your storage to support AI workloads and meet changing performance demands.

Tune in for the takeaways and to learn why scale-out file systems are often recommended to support AI workloads.

Vendor:
WekaIO
Premiered:
May 9, 2019
Format:
Video
Type:
Webcast
Language:
English
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