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Designing and Building a Data Pipeline for Your AI Workflows

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Designing a data architecture fit for AI technologies like deep learning involves an in-depth understanding of the data pipeline and the performance requirements, datasets, and data services needed.  

However, you should also consider future extensibility and supportability as deep learning hardware and cloud approaches evolve over time.

This white paper discusses AI infrastructure challenges and how to support AI with careful planning. Access it here to find out:

  • If your infrastructure is ready to support AI workflows
  • How to accelerate I/O in a deep learning pipeline
  • Sufficient file systems and data architectures for AI
  • And more 
Vendor:
NetApp
Posted:
12 Mar 2019
Published:
31 Mar 2018
Format:
PDF
Length:
16 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.