Edge to Core to Cloud Architecture for AI

As organizations embrace AI-powered innovations and deploy deep learning applications, it is crucial to design a robust infrastructure that takes advantage of the compelling features of both on-premises and cloud deployment options. You must consider several technical requirements before you design and deploy an AI-enabled application: the application type, required performance, data lake size and growth, data backups and archives, and TCO, to name a few. This paper describes these considerations and the corresponding NetApp® solutions that enable seamless data management and deployment options across the edge environments, on-premises data centers, and the cloud.


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