Designing and Building a Data Pipeline for Your AI Workflows

Provided by: NetApp
Topic: Artificial Intelligence
Format: PDF
Enterprises are eager to take advantage of artificial intelligence (AI) technologies such as deep learning (DL) to introduce new services and enhance insights from company data. As data science teams move past proof of concept to operationalize deep learning, they must focus on creating a complete data architecture that eliminates bottlenecks to facilitate faster model iteration.

This white paper discusses AI infrastructure challenges and how NetApp can help you build a data pipeline for your deep learning workflows today, while future-proofing investments in your AI infrastructure.

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