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Accelerating Performance for Production AI

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As AI models grow larger, more complex, and use more GPUs, the amount of data will exceed local storage capabilities.

And while it may be possible to copy and update data around a cluster, it’s extremely difficult to manage and very complex to maintain.

This paper explores the impact of AI and deep learning (DL) workloads on storage I/O and explains how to fully utilize GPU resources without saturating storage resources.

Download now to learn how to prepare your storage infrastructure to support AI workloads.   

Vendor:
HPE and Intel®
Posted:
04 Jun 2019
Published:
04 Jun 2019
Format:
PDF
Length:
15 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.